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.
Description
Thesis (Ph.D.)-- Wichita State University, College of Engineering, Dept. of Electrical Engineering & Computer Science