Source Localization for Constant Modulus Signals Using a Structured Matrix Recovery Technique (SMART)

Xunmeng Wu, Zai Yang, Zhiqiang Wei, Zongben Xu
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Abstract

We study the source localization problem for constant modulus (CM) signal using a uniform linear array. Existing results on parameter identifiability show that the maximum number of CM signal sources that can be uniquely localized can exceed the number of sensors, but a practical algorithm is still lacking so far. In this paper, we propose a structured matrix recovery technique (SMART) for CM signal source localization. In particular, the source localization problem is cast as a rank-constrained Hankel-Toeplitz matrix-based feasibility problem, in which signal structures are fully exploited. The alternating direction method of multipliers (ADMM) algorithm is applied to solve the resulting rank-constrained problem and the sources are uniquely retrieved from the numerical solution. Numerical results demonstrate that the proposed SMART can localize more sources than sensors.
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基于结构化矩阵恢复技术(SMART)的恒模信号源定位
本文研究了一种均匀线性阵列恒模信号的源定位问题。现有的参数可辨识性研究结果表明,可唯一定位的CM信号源的最大数量可以超过传感器的数量,但目前还缺乏实用的算法。本文提出了一种用于CM信号源定位的结构化矩阵恢复技术(SMART)。特别是,源定位问题被转换为基于秩约束的基于Hankel-Toeplitz矩阵的可行性问题,其中充分利用了信号结构。采用交替方向乘法器(ADMM)算法求解得到的秩约束问题,并从数值解中唯一地检索源。数值结果表明,与传感器相比,该方法可以定位更多的源。
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