Improved Adaptive Phase-difference Estimator for Ultra-short Baseline System

doi:10.3969/j.issn.1000-1093.2021.07.012

Abstract

Abstract: In view of the contradiction between convergence speed and steady-state accuracy of the traditional adaptive phase difference estimator due to the use of the least mean square (LMS) algorithm, an improved method is proposed for the adaptive estimator based on the LMS algorithm. And the recursive least square (RLS) algorithm is proposed to be applied to the adaptive phase difference estimator to further improve the stability of adaptive estimator.Through numerical simulation and experimental data verification, the results show that the two improved adaptive phase-difference estimators of LMS and RLS algorithms can both improve the calculation accuracy and convergence speed, and the latter has a higher steady-state accuracy.

Key words: phase-differenceestimator, ultra-shortbaseline, leastmeansquarealgorithm, recursiveleastsquarealgorithm

CLC Number:

U666.73

YU Min， DING Xianjun， ZHANG Xiaoliang， ZHU Mingsi. Improved Adaptive Phase-difference Estimator for Ultra-short Baseline System[J]. Acta Armamentarii, 2021, 42(7): 1450-1456.

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