Amplitude Estimation of Multichannel Signal in Spatially and Temporally Correlated Noise
نویسنده
چکیده
This paper examines the problem of complex amplitude estimation of a multichannel signal in the presence of colored noise with unknown spatial and temporal correlation. A number of amplitude estimators are developed, including the optimum maximum likelihood (ML) estimator, which involves nonlinear optimization, and several suboptimal but computationally more efficient estimators based on least-squares (LS) or weighted LS (WLS) estimation. The Cramér-Rao bound (CRB) for the estimation problem is presented. Numerical results are presented to illustrate the performance of these estimators with or without training data.
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تاریخ انتشار 2006