Performance analysis of a wavelet based WBCAF method for time delay and Doppler stretch estimation

X. Niu, P. Ching, Y. Chan
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引用次数: 3

Abstract

A wavelet based method for time delay and Doppler stretch estimation has been proposed. It makes use of the relationship between the wideband cross ambiguity function (WBCAF) and the cross wavelet transform of the received signals. This paper derives the Cramer-Rao lower bound (CRLB) and analyses the performance of the algorithm. It is found that under high SNR, the method is asymptotically unbiased, and the variances of the estimation parameters are fairly close to the CRLB. Simulation results are given to corroborate the theoretical derivation.
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基于小波的WBCAF延迟和多普勒拉伸估计的性能分析
提出了一种基于小波的时延和多普勒拉伸估计方法。它利用了宽带交叉模糊函数(WBCAF)与接收信号的交叉小波变换之间的关系。本文导出了Cramer-Rao下界(CRLB),并分析了算法的性能。结果表明,在高信噪比下,该方法是渐近无偏的,估计参数的方差与CRLB相当接近。仿真结果验证了理论推导。
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