Satellite Interference Geolocation Method Using UAV and Spatial Sparsity

The classic dual-satellite geolocation method using TDOA/FDOA parameters measurement includes two stages, signal parameters estimation and interfering target localization. In the first stage, parameters are estimated by ignoring the fact that all measurements should be consistent with a single transmitter location, thus the localization algorithm is not optimal. Furthermore, the satellite ephemeris is inaccuracy especially that the satellite velocity is unpredictable, which causes serious errors in Doppler frequency offset parameter estimation. Therefore, the geolocation accuracy is limited. This paper proposes a novel satellite interference geolocation method, applies single UAV(Unmanned aerial vehicle) to receive the interference signal instead of dual satellites, uses the spatial sparsity distribution property of the transmitter, and solves a convex problem with Doppler shift related to the location of the unknown transmitter. The method combines the information of all the measured signal, performs geolocation in a single stage, Monte Carlo simulation confirms that this method achieves high geolocation accuracy.