基于核范数优化的共阵插值算法在多址雷达中的DOA估计

Yu Zheng, Muran Guo, Lutao Liu
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引用次数: 5

摘要

随着同质阵列的发展,为了实现大阵列孔径,人们提出了同质多输入多输出(MIMO)雷达。然而,同质MIMO雷达的和差阵也存在漏洞,使得基于子空间的DOA估计算法无法获得连续距离外的滞后。本文提出了一种用于同质MIMO雷达的共阵插值算法,以提高其估计性能。通过求解基于核范数的优化问题来完成插值,利用插值协方差矩阵的Toeplitz结构来降低计算复杂度。该算法利用了不连续的滞后。从而提高了自由度数和估计精度。设计了数值模拟来检验相应的估计性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
DOA Estimation Using Coarray Interpolation Algorithm Via Nuclear Norm Optimization for Coprime MIMO Radar
As the coprime array develops, the coprime multiple-input multiple-output (MIMO) radar has been proposed to achieve a large array aperture. However, holes also exist in the sum-difference coarray of the coprime MIMO radar, thus making the lags out of continuous range unavailable for the subspace based direction of arrival (DOA) estimation algorithm. In this paper, a coarray interpolation algorithm is proposed for the coprime MIMO radar to improve the estimation performance. The interpolation is completed by solving a nuclear norm based optimization problem, where the Toeplitz structure of the interpolated covariance matrix is exploited to reduce the computational complexity. The lags that are not continuous are utilized by using the proposed algorithm. Thus, the number of degrees of freedom (DOFs) and the estimation accuracy are improved. Numerical simulations are designed to examine the corresponding estimation performance.
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