EM算法在多径传播环境下的多传感器TDOA估计

Conference Record of The Twenty-Ninth Asilomar Conference on Signals, Systems and Computers Pub Date : 1995-10-30 DOI:10.1109/ACSSC.1995.540869

S. P. Belanger

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引用次数: 9

摘要

期望最大化(EM)算法是一种在存在相关多径干扰和噪声的情况下进行无源、高分辨率、传感器间到达时间差(TDOA)估计的方法。这里提出的方法假设信号可以表示为带宽有限的复杂高斯过程，但在其他方面是未知的。在EM算法中，生成传输信号频谱的条件平均估计，并用于确定与每个接收信号相关的直接路径和多路径延迟以及复杂幅度。时延/振幅估计采用非线性最小二乘优化问题的形式。介绍了算法的结构，并通过仿真验证了算法的性能。

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Multisensor TDOA estimation in a multipath propagation environment using the EM algorithm

The expectation-maximization (EM) algorithm is presented as a means of performing passive, high-resolution, intersensor time difference of arrival (TDOA) estimation in the presence of correlated multipath interference and noise. The approach presented here assumes that the signal can be represented as a bandlimited complex Gaussian process, but is otherwise unknown. Within the EM algorithm, a conditional mean estimate of the transmitted signal spectrum is generated and used to determine the direct-path and multipath delays and complex amplitudes associated with each received signal. The delay/amplitude estimator takes the form of nonlinear least-squares optimization problem. The structure of the algorithm is described and its performance demonstrated through simulation.

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Conference Record of The Twenty-Ninth Asilomar Conference on Signals, Systems and Computers

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