A self-calibration algorithm for cyclostationary signals and its uniqueness analysis

P. Yip, Yifeng Zhou
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引用次数: 8

Abstract

A self-calibration DOA estimation algorithm for cyclostationary source signals is presented in which the effects of the sensor gain and phase shift uncertainty have been eliminated. The uniqueness conditions and the asymptotic consistency of the estimates are discussed. An alternating projecting optimization algorithm is provided which lessens the computational load involved in the nonlinear multivariate optimization problem. A numerical example is presented to show the effectiveness of the algorithm.
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一种循环平稳信号的自校正算法及其唯一性分析
提出了一种消除了传感器增益和相移不确定性影响的环平稳源信号自校正DOA估计算法。讨论了估计的唯一性条件和渐近相合性。提出了一种交替投影优化算法,减少了非线性多变量优化问题的计算量。算例表明了该算法的有效性。
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