自适应RLS算法及其在SINS/SAR组合导航中的应用

Abstract

Abstract: The time-varying parameter estimation is a challenging problem in strapdown inertial navigation system (SINS)/synthetic aperture radar (SAR) integrated navigation systems because SAR measurements are fairly few and have unequal interval. Based on the orthogonality principle, an adaptive recursive least square (RLS) algorithm of SINS/SAR integrated navigation systems is proposed. The adaptive RLS can estimate the time -varying parameters by constructing adaptive fading factors. The adaptive RLS algorithm is deduced and its performance is rigorously analyzed. It is proved that the parameter estimation error of the algorithm is exponentially uniformly bounded. Simulation results demonstrate the feasibility and effectiveness of the proposed approach.

Key words: SINS, SAR, integrated navigation system, adaptive, RLS

CLC Number:

V448

WANG Wenhui, LI Bangqing, JI Zhinong, YU Kai. Adaptive Recursive Least Squares Algorithm and Its Application in SINS/SAR Integrated Navigation Systems[J]., 2009, 35(1): 42-46.

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Adaptive Recursive Least Squares Algorithm and Its Application in SINS/SAR Integrated Navigation Systems

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