稀疏互耦矩阵与阵列自动校准传感器增益/相位估计

A. Jaffer
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引用次数: 7

摘要

本文提出了一种利用未知方向的信号源估计稀疏阵列互耦矩阵和传感器增益/相位的方法。互耦矩阵的稀疏性是由于认识到阵列元素之间的互耦与它们的距离成反比,并且对于相距几个波长的元素可以忽略不计。我们取消了信号测试源方向必须已知的限制,正如作者最近早期工作所要求的那样(见Jaffer, a.g., Proc. 35 Asilomar会议上的信号,系统和计算机,2001)。提出了一种快速收敛迭代估计方向、稀疏互耦矩阵和传感器增益/相位的方法。计算机仿真结果验证了该方法的有效性。
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Sparse mutual coupling matrix and sensor gain/phase estimation for array auto-calibration
This paper develops a method for estimating the sparse array mutual coupling matrix and sensor gains/phases using a signal source at unknown directions. The sparsity of the mutual coupling matrix results from the recognition that the mutual coupling between array elements is inversely related to their separation and may be negligible for elements separated by a few wavelengths. We remove the restriction that the signal test source directions must be known, as required in an earlier recent work by the author (see Jaffer, A.G., Proc. 35th Asilomar Conference on Signals, Systems and Computers, 2001). A fast converging iterative method is developed which estimates the directions and the sparse mutual coupling matrix and sensor gains/phases. Computer simulation results are presented to demonstrate the utility of the method.
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