基于并行因子分析的最优联合方位-仰角和信号阵列响应估计

Conference Record of Thirty-Second Asilomar Conference on Signals, Systems and Computers (Cat. No.98CH36284) Pub Date : 1998-12-01 DOI:10.1109/ACSSC.1998.751595

R. Bro, N. Sidiropoulos, G. Giannakis

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引用次数: 17

摘要

我们考虑了确定性联合方位角-仰角、信号和阵列响应估计，并建立了与并行因子(PARAFAC)分析的直接联系，这是一种基于线性代数的多路阵列分析工具。这个链接提供了一个强大的可识别性结果，加上有机会利用和扩展现有的专业知识来拟合PARAFAC模型，得出一个确定性(最小二乘)联合估计算法，也适用于多参数/多不变ESPRIT子空间拟合问题。这些和其他问题在相关的模拟实验中得到了证明。

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Optimal joint azimuth-elevation and signal-array response estimation using parallel factor analysis

We consider deterministic joint azimuth-elevation, signal, and array response estimation, and establish a direct link to parallel factor (PARAFAC) analysis, a tool with roots in linear algebra for multi-way arrays. This link affords a powerful identifiability result, plus the opportunity to tap on and extend the available expertise for fitting the PARAFAC model, to derive a deterministic (least squares) joint estimation algorithm, also applicable to multiple-parameter/multiple-invariance ESPRIT subspace fitting problems. These and other issues are demonstrated in pertinent simulation experiments.

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Conference Record of Thirty-Second Asilomar Conference on Signals, Systems and Computers (Cat. No.98CH36284)

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