A Multipath TDOA Estimation Algorithm Based on Correntropy under Impulsive Noise Environment
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摘要: 为了实现脉冲噪声环境下不受相关法分辨极限限制的高分辨率多径到达时差(TDOA)估计，该文利用相关熵理论中的最大相关熵准则(MCC)，结合将多维优化问题转化为多个1维优化问题的期望最大化方法，提出一种相关熵期望最大化(CEM)高分辨率多径TDOA估计算法。仿真实验结果表明该文所提出的算法在强脉冲噪声和低信噪比的环境下都具有很好的估计性能，并且算法中参数的选取不依赖于脉冲噪声的先验信息。Abstract: In order to realize the high-resolution multipath Time Difference Of Arrival (TDOA) estimation which is not limited by the resolution limit of correlation method under impulsive noise environment, a Correntropy Expectation-Maximum (CEM) high resolution multipath TDOA estimation algorithm is proposed based on the Maximum Correntropy Criterion (MCC). The multipath TDOA is estimated by transforming multi-dimensional optimization problems into multiple one-dimensional optimization problems. The simulation results show that the CEM algorithm has good estimation performance under strong impulsive noise and low SNR environment, and the selection of kernel size in CEM algorithm is not depend on the prior information of the impulsive noise.
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