Position Estimation of Radio Source Based on Fingerprinting With Physical Wireless Parameter Conversion Sensor Networks

Establishing a highly accurate positioning of radio sources for wave monitoring and frequency spectrum sharing is attracting considerable attention. Because the method generally requires specific processing position target, it not applicable when target cannot perform any processing. The location fingerprinting uses multiple sensors to observe received signal strength indication (RSSI) emitted by source estimates from propagation characteristics. This does require certain process position. However, takes time gather RSSI many wireless communication. In this study, we propose an gathering using physical parameter conversion sensor networks (PhyC-SN) high-speed sources. proposed method, each selects carrier corresponding its measured transmits signal. Projecting distribution onto enables center detect simultaneously. Furthermore, improve accuracy, established group considering regional characteristics access timing control based on group. Computer simulations experimental evaluations show that significantly reduces data-gathering compared with conventional packet communications achieves high accuracy.