Abstract
This paper investigates a subarray based algorithm for direction of arrival (DOA) estimation of wideband uniform linear array (ULA), under the presence of frequency-dependent mutual coupling effects. Based on the Toeplitz structure of mutual coupling matrices, the whole array is divided into the middle subarray and the auxiliary subarray. Then two-sided correlation transformation is applied to the correlation matrix of the middle subarray instead of the whole array. In this way, the mutual coupling effects can be eliminated. Finally, the multiple signal classification (MUSIC) method is utilized to derive the DOAs. For the condition when the blind angles exist, we refine DOA estimation by using a simple approach based on the frequency-dependent mutual coupling matrixes (MCMs). The proposed method can achieve high estimation accuracy without any calibration sources. It has a low computational complexity because iterative processing is not required. Simulation results validate the effectiveness and feasibility of the proposed algorithm.
Highlights
Wideband antenna arrays have attracted tremendous interest in various fields including radar, radio astronomy, and wireless communications [1,2]
We present a wideband direction of arrival (DOA) estimation algorithm for uniform linear array (ULA) in the presence of
We present a wideband DOA estimation algorithm for ULA in the presence unknown mutual coupling
Summary
Wideband antenna arrays have attracted tremendous interest in various fields including radar, radio astronomy, and wireless communications [1,2]. A variety of methods have been proposed to mitigate mutual coupling effects in narrowband applications. In [7,8], an alternating minimization procedure for both DOA and mutual coupling parameters was created based on the subspace principle. Procedures of this type, usually suffer from serious ambiguous problems and have high computational complexity due to multidimensional searches in nonlinear optimization. An improved method resulted from the application of a group of auxiliary elements on the boundaries of the uniform linear array (ULA), and led to the development of a simple and effective DOA estimation algorithm [9,10,11]
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