A low-complexity joint 2D-DOD and 2D-DOA estimation algorithm for MIMO radar with arbitrary arrays
A low-complexity joint 2D-DOD and 2D-DOA estimation algorithm for MIMO radar with arbitrary arrays
复制标题
DOI：
10.1080/00207217.2012.743094
复制
发表时间：
2013-07
影响因子：
1.3
通讯作者：
Cheng Chen;Xiaofei Zhang
中科院分区：
文献类型：
--
作者：
Cheng Chen;Xiaofei Zhang
研究了任意阵列双基地MIMO雷达的四维角度估计问题，提出了一种二维波达方向和二维离去方向联合估计算法。本文的算法是对MIMO雷达中传播算子法（PM）角度估计的一种扩展。该算法不需要对接收信号协方差矩阵进行峰值搜索和特征值分解，计算复杂度低。并且可以实现四维角度的自动配对。此外，该算法的角度估计性能远优于基于旋转不变技术的信号参数插值估计方法（ESPRIT），与计算量较大的类ESPRIT算法的角度估计性能非常接近。我们还分析了算法的复杂度和角度估计误差，并推导出Cramer-Rao界（CRB）。仿真结果验证了该算法的有效性和改进性。
In this article, we study the problem of four-dimensional angles estimation for bistatic multiple-input multiple-output (MIMO) radar with arbitrary arrays, and propose a joint two-dimensional direction of departure (2D-DOD) and two-dimensional direction of arrival (2D-DOA) estimation algorithm. Our algorithm is to extend the propagator method (PM) for angle estimation in MIMO radar. The proposed algorithm does not require peak searching and eigenvalue decomposition of received signal covariance matrix, because of this, it has low computational complexity. And it can achieve automatic pairing of four-dimensional angles. Furthermore, the proposed algorithm has much better angle estimation performance than interpolated estimation method of signal parameters via rotational invariance techniques (ESPRIT), and has very close angle estimation performance to ESPRIT-like algorithm which has higher computational cost than the proposed algorithm. We also analyze the complexity and angle estimation error of the algorithm, and derive the Cramer‐Rao bound (CRB). The simulation results verify the effectiveness and improvement of the proposed algorithm.