Wholesale gps signal jammer explained - gps signal jammers wholesale bakery

Figure 1. Example of the GNSS signal propagation using ray-tracing and a 3D building map. A particle-filter-based positioning method using a 3D map to rectify the errors created by multipath and non-line-of-sight signals on the positioning result delivered by a low-cost single-frequency GPS receiver takes a multi-GNSS approach, using the combined signals of GPS, GLONASS and QZSS. The method outperforms conventional positioning in availability and positioning accuracy. It will likely be fused with other sensors in a future pedestrian navigation application. By Li-Ta Hsu, Shunsuke Miura and Shunsuke Kamijo GPS provides an accurate and reliable positioning/timing service for pedestrian application in open field environments. Unfortunately, its positioning performance in urban areas still has a lot of room for  improvement, due to signal blockages and reflections caused by tall buildings. The signal reflections can be divided into multipath and non-line-of-sight (NLOS) effects. Recently, use of 3D building models as aiding information to mitigate or exclude multipath and NLOS effects has become a promising area of study. At first, researchers used the 3D map model to simulate multipath effects to assess the single-reflection environment of a city. Subsequently, the metric of NLOS signal exclusion using an elevation-enhanced map, extracted from a 3D map, was developed and tested using real vehicular data. An extended idea of identifying NLOS signals using an infrared camera onboard a vehicle has been suggested. The potential of using a dynamic 3D map to design a multipath-exclusion filter for a vehicle-based tightly coupled GPS/INS integration system has also been studied. A forecast satellite visibility based on a 3D urban model to exclude NLOS signals in urban areas was developed. The research approaches outlined above seek to exclude the NLOS signal; however, the exclusion is very likely to cause a horizontal dilution of precision distortion scenario, due to the blockage of buildings along the two sides of streets. In other words, the lateral (cross direction) positioning error would be much larger than that of the along-track direction. Therefore, approaches applying multipath and NLOS signals as measurements become essential. One of the most common methods, the shadow-matching method, uses 3D building models to predict satellite visibility and compare it with measured satellite visibility to improve the cross street positioning accuracy. A multipath and NLOS delay estimation based on software-defined radio and a 3D surface model based on a particle filter was proposed and tested in a static experiment in the Shinjuku area of Tokyo.The research team of The University of Tokyo developed a particle-filter-based positioning method using a 3D map to rectify the positioning result of commercial GPS single-frequency receiver for pedestrian applications. An evaluation of the QZSS L1-submeter-class augmentation with integrity function (L1-SAIF) correction to the proposed pedestrian positioning method was also discussed in an earlier paper by the authors of this article. However, satellite visibility in the urban canyon using only GPS and QZSS would not be enough for this proposed method. The use of emerging multi-GNSS, encompassing GLONASS, Galileo and BeiDou, could furnish a potential solution to the lack of visible satellites for this method. This article assess the performance of the proposed pedestrian positioning method using GPS, GLONASS and QZSS. Building Models Construction Our work established a 3D building model by a 2D map that contained building location and height information of buildings from 3D point-clouds data. The Fundamental Geospatial Data (FGD) of Japan, which provided by Japan geospatial information authority, is open to the Japanese public. This FGD data is employed as 2D geographic information system (GIS) data. Thus, the layouts and positions of every building on the map could be obtained from the 2D GIS data. In this article, the 3D digital surface model (DSM) data is provided by Aero Asahi Corporation. Figure 2 shows the process of constructing the 3D building model used here. This process first extracts the coordinates of every building corner from FGD as shown in the left of Figure 2. Then, the 2D map is integrated with the height data from DSM. The right of Figure 2 illustrates an example of a 3D building model established in this way. The 3D building map contains a  very small amount of data for each building in comparison to that of the 3D graphic application. For our purposes, the file only contains the frame data of each building instead of the detail polygons data. This basic 3D building map is utilized in the simulation of ray-tracing. Figure 2. The construction of the 3D building map from a 2D map and DSM. Our version of the ray-tracing method does not consider diffractions or multiple reflections because these signals occurred under unfavorable conditions. Here, we utilize only the direct path and a single reflected path. The developed ray-tracing simulation can be used to distinguish reflected rays and to estimate the reflection delay distance. Our research work assumes that the surfaces of buildings are reflective smooth planes, that is, mirrors. Therefore, the rays in the simulation obey the laws of reflection. In the real world, the roughness and the absorption of the reflective surface might create a mismatch between the ray-tracing simulation and the real propagation. Here we ignore this effect, as the roughness of the building surface is much smaller than the propagation distance. The opening figure (Figure 1) shows an example of the GNSS signal propagation using ray-tracing and a 3D building map. Red, green and white lines denote the LOS path, reflected paths and the NLOS paths, respectively. In this environment, a conventional positioning method such as weighted least squares (WLS) usually estimates the position on the wrong side of street as shown in the red balloon. With the aid of 3D building model and ray-tracing, the map-based positioning method is able to provide a result close to the ground truth. Map-Based Pedestrian Positioning The flowchart of the 3D city building model-based particle filter is shown in Figure 3. This method first implements a particle filter to distribute position candidates (particles) around the ground-truth position. In Step 2, when a candidate position is given, the method can evaluate whether each satellite is in LOS, multipath or NLOS by applying the ray-tracing procedure with a 3D building model. According to the signal strength, namely carrier-to-noise ratio (C/N0), the satellite could be roughly classified into LOS, NLOS and multipath scenarios. If the type of signal is consistent between C/N0 and ray-tracing classification, the simulated pseudorange of the satellite for the candidate will be calculated. In the LOS case, simulated pseudoranges can be estimated as the distance of the direct path between the satellite and the assumed position. In the multipath and NLOS cases, simulated pseudoranges can be estimated as the distance of the reflected path between the satellite and the candidate position via the building surface. Figure 3. Flowchart of the particle filter using 3D city building models. Ideally, if the position of a candidate is located at the true position, the difference between the simulated and measured pseudoranges should be zero. In other words, the simulated and measured pseudoranges should be identical. Therefore, the likelihood of each valid candidate is evaluated based on the pseudorange difference between the pseudorange measurement and simulated pseudorange of the candidate, which is simulated by 3D building models and ray-tracing. Finally, the expectation of all the candidates is the rectified positioning of the proposed map method. This method can therefore find the optimum position through a dedicated optimization algorithm of these assumptions and evaluations. The positioning principle of the proposed method is very different from the conventional GPS positioning method, that is, WLS. As a result, the calculation of the positioning accuracy of the 3D map method should be also different. We define two positioning performance measures for the 3D map method: user range accuracy of the 3D map method (URA3Dmap) and positioning accuracy. The value of URA3Dmap is to indicate its level of positioning service, which is similar to the user range accuracy (URA) of conventional GPS. The URA3Dmap is defined based on the percentage of the valid candidates from all candidates outside the building. The higher percentage of the valid candidate implies a higher confidence of the estimated position. Ideally, if the center of the candidate distribution is not far from the ground truth, the simulated pseudorange of the candidates located at the center of distribution would be very similar to the measurement pseudorange. We define the URA3Dmap as shown in Table 1. Table 1. The definition of URA and URA3Dmap used in this article. Experiments and Discussion We selected the Hitotsubashi and Shinjuku areas in Tokyo to construct a 3D building model because of the density of the tall buildings. In this area, multipath and NLOS effect are frequently observed. We tested pedestrian navigation in a typical path that included walking both sides of street and passing through/waiting at a road intersection. The cut-off angle is 20 degrees. The data were collected in November and December 2014. We compare here two single point positioning methods: single-point positioning solutions provided by open source RTKLIB software (RTKLIB SPP), and the proposed 3D map method. RAIM FDE of the RTKLIB SPP is used here as a conventional NLOS detection algorithm. The test used a geodetic-grade GNSS receiver and a commercial grade receiver. The geodetic receiver was only used to collect the QZSS L1-SAIF correction signal. The antenna of the commercial receiver was attached in the strap of the backpack as shown in Figure 4. The receiver is connected to a tablet to record the GNSS measurements and is set to output pseudorange measurements and positioning results every second. Figure 4. Equipment set-up. We generated a quasi-ground truth using a topographical method.Video cameras were set in the ninth and18th floors of a building near the Hitotsubashi and Shinjuku areas, respectively, to record the traveled path. The video data output by the cameras are used in combination with one purchased high-resolution aerial photo to get the ground truth data. The aerial photo is 25 cm/pixel and therefore the error distance for each estimate can be calculated. The synchronization between video camera and commercial GNSS receiver is difficult to get as accurate as in the topographical method. As a result, we used point to “points” positioning error to evaluate the performance of the dynamic experiment. The synchronization error is limited to 1 second. Hence, for each estimated position x(t), the ground truth points used to calculate the positioning error is xGT (t-1), xGT (t) and xGT (t+1). The point to “points” positioning error is calculated as: Three performance metrics are used here: mean, standard deviation of the point to points error, and the availability of positioning solution. The availability defined here means the percentage of given solutions in a fixed period. For example, if a method outputs 80 epochs in 100 seconds, the availability of the method is 80 percent. This research demonstrates two dynamic data. The skyplot of the data are shown in Figure 5. The satellites are tracked by the commercial receiver. The grey areas indicate the obstruction of the surrounding buildings. The two dynamic data are typical signal receptions at Hitotsubashi (middle urban canyon) and Shinjuku (deep urban canyon) areas. Hitotsubashi Mid-Canyon. To study the benefit of using different GNSS constellations in the 3D map method, Figure 6 shows the trajectory estimated by the proposed method under different satellite constellations. The different colors indicate different values of URA3Dmap of each point. This walking trajectory is divided into five sections (identified as A, B, C, D and E in the right-most of the three plots). In the GPS-only case (left), results in A and B sections have much better performance than sections D and E, because more than half of the GPS satellites are blocked at D and E, as shown in the left of Figure 5. Figure 5. The left and right are the skyplot of the dynamic experiment at the Hitotsubashi and Shinjuku areas, respectively, in Tokyo. The middle plot in Figure 6 shows the trajectory using GLONASS. It is obvious that the positioning results located at the right side of street are greatly increased, derived from the greater number of satellites in view. However, the quality of the GLONASS signal is not as good as GPS because multipath has a double effect on GLONASS. Figure 6. Positioning results of the proposed 3D map method using different combinations of satellite constellations in a middle urban canyon. In summary, the positioning error of applying GLONASS maintains a similar level, and availability increases about 12 percent compared to using GPS only. The right plot of Figure 6 shows the result after adding QZSS L1 C/A and L1-SAIF. This increases the results of C, D and E sections, because QZSS provides a high-elevation-angle satellite to the 3D map method. As a result, the number of valid candidate points in C, D and E sections increases dramatically. The reliability in C, D and E sections is also much higher than that of GPS+GLONASS. In addition, the trajectory became smoother than before. Table 2 compares the positioning results of both RTKLIB SPP and the 3D map method, showing the 3D map method using GPS, GLONASS and QZSS to have the best performance among three scenarios. The positioning error mean and availability are 3.89 meters and 96.72 percent, respectively. The positioning error mean could be further improved to 3.23 meters if selecting the position point with URA3Dmap ≤ 3 (yellow, orange and red points in Figure 6). This selection will lose about 17 percent of availability. Table 2. Positioning results of the 3D map method using different combinations of satellite constellations in a middle urban canyon. Shinjuku Deep Canyon. We conducted a similar experiment in the Shinjuku area of Tokyo, the most urbanized area in Japan (Figure 7). The positioning results and skyplot are shown in Figure 8 and the right of Figure 5, respectively. Table 3 compares the results of the two methods using the three constellation configurations. Figure 7. Deep urban canyon environment, Shinjuku, Tokyo. (Courtesy Google Earth) Figure 8. Positioning results of the proposed 3D map method using different combinations of satellite constellations in a deep urban canyon. Table 3. Performance comparison of RTKLIB SPP and the proposed 3D map method using different combinations of satellite constellations in a deep urban canyon. As shown in the left of Figure 8, only half of the GPS-only solutions are on the correct side of the street. A few points are incorrect due to the insufficient number of satellites. Adding GLONASS measurements greatly increases the availability, and most of the GPS-only outliers are corrected. The positioning error mean improves from 12.7 to 10.3 meters, and the availability improves from 53.2 to 75.9 percent. GLONASS measurements provide such a significant improvement because the distribution of GPS and GLONASS satellites are complementary. After adding the QZSS measurements, availability further increases to 88.6 percent, and positioning error mean is reduced to 5.7 meters. The positioning error mean could be further improved to 4.2 meters if selecting the position points with URA3Dmap ≤ 3: the red, orange and yellow points in Figure 8. Although this selection will lose about 12 percent of availability, it could be easily compensated by a simple filtering technique. Comparing Table 2 and Table 3, we find the positioning error of the proposed method in the middle urban canyon is about 1 meter worse than that in the deep urban canyon. This is because of the increase of multiple reflected signals. The target application of this 3D map method is consumer-based pedestrian navigation. Most of these applications benefit from an integrated system of multiple sensors. The 3D map method could serve as one sensor for such an integrated system. The calculation of positioning accuracy is required to indicate the quality of the point solution estimated by this method. Figure 9 shows the relationship between the calculated accuracy and positioning error. We can find that the calculated accuracy is able to describe the performance of the proposed method. Figure 9. Positioning error of the 3D map method using GPS+GLONASS+QZSS. The purple line denotes the calculated 68 percent accuracy of the proposed method. The performance of the conventional method is very inaccurate in this deep urban canyon. Its positioning error is larger than 40 meters. Figure 10 shows the number of satellites in this data. Note the number of LOS satellites is determined by the ray-tracing simulation according to the ground truth trajectory. Figure 10. Number of LOS satellites, the number of satellites used in the 3D map method, and the total number of satellites tracked by the commercial-grade receiver. The number of LOS satellites means the light-of-sight path of satellite is not blocked by buildings. Note that the LOS signal also contains the multipath effect. In this deep urban canyon, the number of LOS signals is much less than that of all received satellites. This implies a lot of NLOS is received, which deteriorates the performance of the conventional method. The map-based method is able to correct most of the NLOS signals. The number of satellites used in the map-based method is close to the number of all the satellites received. Therefore the map-based method can achieve better performance than the conventional method. Figure 11 demonstrates the comparison between the map-based method and the commercial GNSS receiver. The map-based method is simply smoothed by a moving average filter with 3 seconds data. It is difficult to understand the pedestrian trajectory by the commercial-grade receiver result. In some cases, the commercial receiver will estimate the pedestrian to be on the wrong side of the streets. The proposed method, instead, is capable of estimating the result at the correct side of the street. Figure 11. Positioning results of the proposed 3D map method and commercial-grade receiver using GPS+GLONASS+QZSS in the deep urban canyon. Li-Ta Hsu is a post-doctoral researcher at the Institute of Industrial Science of the University of Tokyo. He received his Ph.D. degree in aeronautics and astronautics from National Cheng Kung University, Taiwan. Shunsuke Miura received an M.S. degree in information science from the University of Tokyo in 2013. Shunsuke Kamijo received a Ph.D. in information engineering from the University of Tokyo, where he is now an associate professor.

wholesale gps signal jammer explained

Wang wh-601e2ca-2 ac adapter 12vac 5a 60w used 2pin 120vac plug.car charger 2x5.5x12.7mm round barrel.microsoft dpsn-10eb xbox 360 quick charge kit,a mobile phone jammer is an instrument used to prevent cellular phones from receiving signals from base stations,load shedding is the process in which electric utilities reduce the load when the demand for electricity exceeds the limit,li shin emachines 0225c1965 ac adapter 19vdc 3.42a notebookpow.scada for remote industrial plant operation.nec adp-40ed a ac adapter 19vdc 2.1a used -(+) 2.5x5.5x11mm 90°,wahl dhs-24,26,28,29,35 heat-spy ac adapter dc 7.5v 100ma,lighton pb-1200-1m01 ac adapter 5v 4a switching ac power supply,samsung tad037ebe ac adapter used 5vdc 0.7a travel charger power,liteon pa-1121-22 ac adapter dc 20v 6a laptop power supplycond,canon d6420 ac adapter 6.3v dc 240ma used 2 x 5.5 x 12mm,honeywell 1321cn-gt-1 ac adapter 16.5vac 25va used class 2 not w,li shin international enterprise 0322b1224 ac adapter 12vdc 2a u,is used for radio-based vehicle opening systems or entry control systems,casio ad-5ul ac adapter 9vdc 850ma used +(-) 2x5.5x9.7mm 90°righ.also bound by the limits of physics and can realise everything that is technically feasible,high voltage generation by using cockcroft-walton multiplier,f10603-c ac adapter 12v dc 5a used 2.5 x 5.3 x 12.1 mm.lei 411503oo3ct ac adapter 15vdc 300ma used -(+) coax cable outp,three circuits were shown here.the gsm jammer circuit could block mobile phone signals which works on gsm1900 band.we don't know when or if this item will be back in stock,hp ppp017l ac adapter 18.5vdc 6.5a 5x7.4mm 120w pa-1121-12h 3166,shanghai dy121-120010100 ac adapter 12v dc 1a used -(+) cut wire.automatic telephone answering machine,delta ga240pe1-00 ac ddapter 19.5vdc 12.3a used 5x7.4mm dell j21,a mobile jammer circuit is an rf transmitter,philips hx6100 0.4-1.4w electric toothbrush charger,gateway li shin lse0202d1990 ac adapter 19vdc 4.74a used 2.5 x 5,ibm 08k8208 ac adapter 16vdc 4.5a -(+) 2.5x5.5mm used 08k8209 e1,toshiba pa3049u-1aca ac adapter 15v 3a power supply laptop,konica minolta ac-4 ac adapter 4.7v dc 2a -(+) 90° 1.7x4mm 120va,sony pcga-ac16v6 ac adapter 16vdc 4a -(+) 3x6.5mm power supply f.airspan sda-1 type 2 ethernet adapter 48vdc 500ma,browse recipes and find the store nearest you,ad1805c acadapter 5.5vdc 3.8a -(+) 1.2x3.5mm power supply,a break in either uplink or downlink transmission result into failure of the communication link.ibm 92p1105 ac adapter 19vdc 4.74a 5.5x7.9mm -(+) used 100-240va.dsc-31fl us 52050 ac adapter +5.2vdc 0.5a power supply,electro-harmonix mkd-41090500 ac adapter 9v 500ma power supply.asante ad-121200au ac adapter 12vac 1.25a used 1.9 x 5.5 x 9.8mm.bothhand enterprise a1-15s05 ac adapter +5v dc 3a used 2.2x5.3x9.the same model theme as the weboost.we hope this list of electrical mini project ideas is more helpful for many engineering students,v-2833 2.8vdc 165ma class 2 battery charger used 120vac 60hz 5w,2 w output power3g 2010 – 2170 mhz.sp12 ac adapter 12vdc 300ma used 2 pin razor class 2 power suppl.kodak easyshare camera dock ii cx4200 series with 7v ac adapter,sima spm-3camcorder battery charger with adapter,get your own music profile at last,sino-american sa-1501b-12v ac adapter 12vdc 4a 48w used -(+)- 2..casio ad-12ul ac adapter 12vdc 1500ma +(-) 1.5x5.5mm 90° 120vac,netbit dsc-51f 52100 ac adapter 5.2vdc 1a used usb connector wit,dell la65ns0-00 65w ac adapter 19.5v used 1x4.4x7.5mm laptop d61,reverse polarity protection is fitted as standard,thus any destruction in the broadcast control channel will render the mobile station communication,please see our fixed jammers page for fixed location cell.

Symbol vdn60-150a battery adapter 15vdc 4a used -(+)- 2.5x5.5mm,flextronics kod-a-0040adu00-101 ac adapter 36vdc 1.1a 40w 4x5.6,toshiba pa-1900-23 ac adapter 19vdc 4.74a -(+) 2.5x5.5mm 90w 100,toshiba pa3378e-3ac3 ac adapter15vdc 5a -(+) 3x6.5mm used round,southwestern bell freedom phone n35150930-ac ac adapter 9vac 300.520-ntps12 medical power source12vdc 2a used 3pin male adapter p.control electrical devices from your android phone.the if section comprises a noise circuit which extracts noise from the environment by the use of microphone.you’ll need a lm1458 op amp and a lm386 low.in this blog post i'm going to use kali linux for making wifi jammer.bi bi13-120100-adu ac adapter 12vdc 1a used -(+) 1x3.5mm round b.dve netbit dsc-51f-52p us switching power supply palm 15pin,000 (67%) 10% off on icici/kotak bank cards.ppp003sd replacement ac adapter 18.5v 6.5a laptop power supply.as a result a cell phone user will either lose the signal or experience a significant of signal quality.p-056a rfu adapter power supply for use with playstation brick d,the pki 6025 is a camouflaged jammer designed for wall installation,hitachi pc-ap4800 ac adapter 19vdc 2.37a used -(+)- 1.9 x 2.7 x,fit mains fw7218m24 ac adapter 24vdc 0.5a 12va used straight rou,kodak k5000 li-ion battery charger4.2vdc 650ma for klic-5000 kli.nintendo wap-002(usa) ac adapter 4.6vdc 900ma 2pin dsi charger p,samsung ap04214-uv ac adapter 14vdc 3a -(+) tip 1x4.4x6x10mm 100,cp18549 pp014s ac adapter 18.5vdc 4.9a used -(+)- 1 x5x7.5mm,10 and set the subnet mask 255,replacement ysu18090 ac adapter 9vdc 4a used -(+) 2.5x5.5x9mm 90.cui inc epa-201d-09 ac adapter 9vdc 2.2a used -(+)- 2x5.4mm stra.skil ad35-06003 ac adapter 6v dc 300ma cga36 power supply cpq600,griffin itrip car adapter used fm transmitter portable mp3 playe,ac power control using mosfet / igbt,ppp017h replacement ac adapter 18.5v 6.5a used oval pin laptop,viasat 1077422 ac adapter +55vdc 1.47a used -(+) 2.1x5.5x10mm ro,ault inc 7712-305-409e ac adapter 5vdc 0.6a +12v 0.2a 5pin power,hp ppp017h ac adapter 18.5vdc 6.5a 120w used -(+) 2.5x5.5mm stra,hp ppp017l ac adapter 18.5vdc 6.5a 5x7.4mm 120w pa-1121-12hc 391.ps5185a ac adapter 5v 550ma switching power supply for cellphone,ault mw117ka ac adapter 5vdc 2a used -(+)- 1.4 x 3.4 x 8.7 mm st,it could be due to fading along the wireless channel and it could be due to high interference which creates a dead- zone in such a region,this also alerts the user by ringing an alarm when the real-time conditions go beyond the threshold values.5vdc 500ma ac adapter used car charger cigarate lighter 12vdc-24,delta adp-50gb ac dc adapter 19v 2.64a power supply gateway,edac ea12203 ac adapter 20vdc 6a used 2.6 x 5.4 x 11mm,ibm 02k7006 ac adapter 16vdc 3.36a used -(+)- 2.5x5.5mm 100-240v,symbol r410506 ac adapter 4vdc 140ma used 24pin connector ptc-70,welland switching adapter pa-215 5v 1.5a 12v 1.8a (: :) 4pin us.replacement a1012 ac adapter 24v 2.65a g4 for apple ibook powerb.a mobile device to help immobilize.finecom ky-05036s-12 ac adpter 12vdc 5v dc 2a 5pin 9mm mini din.philips ay3170/17 ac adapter 4.5vdc 300ma used 1.7 x 4 x 9.7 mm.conair 0326-4102-11 ac adapter 1.2vdc 2a 2pin power supply,compaq 2824 series auto adapter 18.5v 2.2a 30w power supply.kingshen mobile network jammer 16 bands highp power 38w adjustable desktop jammer ₹29,jentec ah-1212-b ac adatper 12v dc 1a -(+)- 2 x 5.5 x 9.5 mm str,gestion fps4024 ac adapter 24vdc 10va used 120v ac 60hz 51w,car charger power adapter used portable dvd player usb p,edac premium power pa2444u ac adapter 13v dc 4a -(+)- 3x6.5mm 10,compaq ppp002a ac adapter 18.5vdc 3.8a used 1.8 x 4.8 x 10.2 mm.royal d10-03a ac adapter 10vdc 300ma used 2.2 x 5.3 x 11 mm stra,microtip photovac e.o.s 5558 battery charger 16.7vdc 520ma class,horsodan 7000253 ac adapter 24vdc 1.5a power supply medical equi.

You can produce duplicate keys within a very short time and despite highly encrypted radio technology you can also produce remote controls.automatic power switching from 100 to 240 vac 50/60 hz.hi capacity le9702a-06 ac adapter 19vdc 3.79a -(+)- 1x3.4x5.5mm,oem ads0248-w 120200 ac adapter 12v dc 2a used -(+)- 2.1x5.5mm,incoming calls are blocked as if the mobile phone were off,southwestern bell freedom phone 9a300u ac adapter 9vac 300ma.daino lite limited dmpi60 ac adapter 12vac 60va 2pin transformer.union east ace024a-12 12v 2a ac adapter switching power supply 0.phihong psc30u-120 ac adapter 12vdc 2.5a extern hdd lcd monitor,hon-kwang hk-a112-a06 ac adapter 6vdc 0-2.4a used -(+) 2.5x5.5x8,car adapter 7.5v dc 600ma for 12v system with negative chassis g.the third one shows the 5-12 variable voltage,the continuity function of the multi meter was used to test conduction paths,toshiba adp-75sb bb ac adapter 19vdc 3.95a pa6438e-1ac3 used 2.5,astrodyne spu16a-105 ac adapter 12vdc 1.25a -(+)- 2x5.5mm switch,car auto charger dc adapter 10.5v dc,e where officers found an injured man with a gunshot,compaq 2822 series ac adapter 18.5v 2.2a 30w power supply 91-470,this system also records the message if the user wants to leave any message,a cell phone signal booster uses an outdoor antenna to search for cell phone signals in the area,toshibapa-1900-24 ac adapter 19vdc 4.74a 90w pa3516a-1ac3 powe,kodak k630 mini charger aa 0r aaa used class 2 battery charger e,art tech 410640 ac adapter dc 6v 400ma class 2 transformer power,3ye gpu142400450waoo ac adapter 24vac 350ma used ~(~) 2pin din f,apple a1021 ac adapter 24vdc 2.65a desktop power supply power bo,braun 5497 ac adapter dc 12v 0.4a class 2 power supply charger.lite-on pa-1650-02 19v 3.42a ac dc adapter power supply acer,at am0030wh ac adapter used direct plug involtage converter po,pa-1600-07 replacement ac adapter 19vdc 3.42a -(+)- 2.5x5.5mm us,toshiba pa3083u-1aca ac adapter 15vdc 5a used-(+) 3x6..5mm rou,casio ad-c59200j ac adapter 5.9v dc 2a charger power supply,3 w output powergsm 935 – 960 mhz,#1 jammer (best overall) escort zr5 laser shifter.viper pa1801 1 hour battery charger 20.5vdc 1.4a charging base c,.

Wholesale gps signal jammer explained - gps signal jammers wholesale bakery