Anti-jam GPS space-time adaptive processing

Abstract

This dissertation proposes a combination of adaptive temporal ltering with adaptive spatial ltering to improve the global positioning system (GPS) performance in the presence of narrowband and wideband interference. Current state-of-the-art information on GPS antijam technology has relied on a phased-array antenna that consists of N antenna elements and a processing unit that theoretically suppresses up to N –1 signals arriving from distinct directions. A proposed space-time adaptive processing (STAP) algorithm can prevent the degradation of GPS performance when its limitation is exceeded. The results show that proposed STAP algorithm can suppress more than N – 1 jamming signals more completely with less complexity, fewer antenna elements, and fewer radio frequency (RF) chains than the classic STAP. This implies a signi cant reduction in size, weight, and power (SWaP) compared with the classic STAP, and there is no degradation under the additive white Gaussian noise (AWGN) and block Rayleigh fading channel.