基于共阵相关重构的共素阵到达方向估计:一位视角

Chengwei Zhou, Yujie Gu, Zhiguo Shi, M. Haardt
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引用次数: 12

摘要

在本文中,我们从一比特的角度考虑了用互素阵列进行欠定到达方向(DOA)估计的问题,其中探讨了量化稀疏测量的共阵相关性,用于增广协方差矩阵重建。为了充分利用由一比特协素数阵列测量得到的共阵信号进行DOA估计,提出了一个相关重构问题,得到包含不连续共阵的填充共阵对应的量化协方差矩阵,其中一比特量化将相关的可能性从无限数转换为有限数。从自由度、估计精度和分辨率等方面验证了该方法的性能。仿真结果表明,与非量化方法相比,该方法不仅保留了原素数阵列的完全可达DOFs,而且具有更好的DOA估计性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Direction-of-Arrival Estimation for Coprime Arrays via Coarray Correlation Reconstruction: A One-Bit Perspective
In this paper, we consider the problem of underdetermined direction-of-arrival (DOA) estimation using coprime arrays from a ont-bit perspective, where the coarray correlations of the quantized sparse measurements are explored for augmented covariance matrix reconstruction. To fully utilize the coarray signals calculated from the one-bit coprime array measurements for DOA estimation, a correlation reconstruction problem is formulated to obtain the quantized covariance matrix corresponding to a filled coarray containing the discontiguous one, where the one-bit quantization transforms the possibilities of correlations from an infinite to a finite number. The performance of the proposed method is validated from the aspects of degrees- of-freedom (DOFs), estimation accuracy, as well as the resolution performance. Simulation results demonstrate that the proposed method not only retains full achievable DOFs of the coprime array, but is also capable of presenting a better DOA estimation performance than the non-quantization approaches.
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