An Optimal Adaptive Filtering Algorithm with Zero Antenna-Induced Bias for GNSS Antenna Arrays

Andrew J. O'Brien and Inder J. Gupta

Peer Reviewed

Abstract:	Antenna arrays with space-time adaptive processing (STAP) are commonly used to provide adaptive interference suppression capabilities for Global Navigation Satellite System (GNSS) receivers. A GNSS receiver estimates the range to a satellite by measuring the carrier phase and code delay of a known ranging signal. However, while suppressing interference, adaptive antennas may inadvertently introduce bias errors into these measurements. For precision applications, these biases are a significant source of error. Consequently, this paper derives a novel STAP filtering algorithm which is specifically designed to produce zero antenna-induced bias while simultaneously maximizing the effective carrier-to-noise ratio (C/N0). Provided accurate antenna manifold knowledge, simulations demonstrate that this algorithm achieves both zero bias errors and C/N0 performance that approaches the theoretical upper bound. This is true in any interference scenario regardless of the antenna used. Most importantly, the proposed algorithm has implementation requirements comparable to algorithms in use today.
Published in:	NAVIGATION: Journal of the Institute of Navigation, Volume 57, Number 2
Pages:	87 - 100
Cite this article:	O'Brien, Andrew J., Gupta, Inder J., "An Optimal Adaptive Filtering Algorithm with Zero Antenna-Induced Bias for GNSS Antenna Arrays", NAVIGATION: Journal of The Institute of Navigation, Vol. 57, No. 2, Summer 2010, pp. 87-100.
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