用精确的源-传感器空间模型估计方位和距离

Jin He, Linna Li, Ting Shu
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引用次数: 3

摘要

在传感器阵列处理文献中,近场定位和距离估计算法一般只使用球面波前来模拟阵列传感器的相位响应(有时采用菲涅耳近似),并假设振幅响应相等。忽略与距离相关的振幅,虽然有利于算法的发展,但由于模型不匹配,会导致系统估计误差。在考虑球面波前幅值的基础上,提出了一种多近场正弦波源定位的方位和距离估计算法。在估计近场传感器阵列的响应矢量的基础上,根据其幅值或相位,或两者兼而有之,推导出方位和距离估计的封闭公式。对估计模糊问题也进行了讨论。本文还推导了cram - rao界,作为性能研究的基准。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Bearing and range estimation with an exact source-sensor spatial model
: In sensor array processing literature, near-field bearing and range estimation algorithms generally use spherical wavefront to model only array sensors’ phase response (sometimes with Fresnel approximation) and assume equality in amplitude response. Ignoring the range dependent amplitudes, though facilitating the algorithmic development, will cause systematic estimation errors due to model mismatch. By taking the spherical wavefront amplitude into account, a new bearing and range estimation algorithm for locating multiple near-field sinusoid sources is presented. With the estimation of the near- field sensor array's response vector, closed-form formulas for bearing and range estimates are derived from its magnitude, or phase, or both. The problem of estimation ambiguity is discussed as well. Cramér-Rao bound is also derived to serve as a benchmark for performance study.
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