Motion Detection Using Rao Test in Dual-Satellite Geolocation System
Hewen Wei, Changxiong Xia, YE Shang-fu
Abstract
Hewen Wei, Changxiong Xia, YE Shang-fu
Abstract
Dual-satellite geolocation system can locate a stationary emitter on Earth by using time and frequency difference of arrival (TDOA/FDOA). However, emitter motion will cause a bias on the FDOA, resulting in calculated positions with unacceptable errors. If motion is detected, the position is known to be inaccurate. An algorithm for motion detection based on TDOA/FDOA measurements is proposed by using Rao test which just needs the position estimation of stationary hypothesis. The performance is analyzed, and the availability is verified by the simulation results
OpenAlex reports 3 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
Dual-satellite geolocation system can locate a stationary emitter on Earth by using time and frequency difference of arrival (TDOA/FDOA). However, emitter motion will cause a bias on the FDOA, resulting in calculated positions with unacceptable errors. If motion is detected, the position is known to be inaccurate. An algorithm for motion detection based on TDOA/FDOA measurements is proposed by using Rao test which just needs the position estimation of stationary hypothesis. The performance is analyzed, and the availability is verified by the simulation results
Key concepts: FDOA, Geolocation, Multilateration, Common emitter, Computer science, Position (finance), Satellite, Motion (physics)