Suppr超能文献

基于协方差矩阵元素的双基地多输入多输出(MIMO)雷达多目标角度跟踪算法

Multi-Target Angle Tracking Algorithm for Bistatic Multiple-Input Multiple-Output (MIMO) Radar Based on the Elements of the Covariance Matrix.

作者信息

Zhang Zhengyan, Zhang Jianyun, Zhou Qingsong, Li Xiaobo

机构信息

National University of Defense Technology, Hefei 230037, China.

出版信息

Sensors (Basel). 2018 Mar 7;18(3):805. doi: 10.3390/s18030805.

Abstract

In this paper, we consider the problem of tracking the direction of arrivals (DOA) and the direction of departure (DOD) of multiple targets for bistatic multiple-input multiple-output (MIMO) radar. A high-precision tracking algorithm for target angle is proposed. First, the linear relationship between the covariance matrix difference and the angle difference of the adjacent moment was obtained through three approximate relations. Then, the proposed algorithm obtained the relationship between the elements in the covariance matrix difference. On this basis, the performance of the algorithm was improved by averaging the covariance matrix element. Finally, the least square method was used to estimate the DOD and DOA. The algorithm realized the automatic correlation of the angle and provided better performance when compared with the adaptive asymmetric joint diagonalization (AAJD) algorithm. The simulation results demonstrated the effectiveness of the proposed algorithm. The algorithm provides the technical support for the practical application of MIMO radar.

摘要

在本文中,我们考虑了双基地多输入多输出(MIMO)雷达跟踪多个目标的到达方向(DOA)和离开方向(DOD)的问题。提出了一种高精度的目标角度跟踪算法。首先,通过三个近似关系得到了协方差矩阵差与相邻时刻角度差之间的线性关系。然后,该算法得到了协方差矩阵差中元素之间的关系。在此基础上,通过对协方差矩阵元素求平均来提高算法性能。最后,采用最小二乘法估计DOD和DOA。该算法实现了角度的自动相关,与自适应非对称联合对角化(AAJD)算法相比具有更好的性能。仿真结果验证了所提算法的有效性。该算法为MIMO雷达的实际应用提供了技术支持。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a3a5/5876608/bbd9c2d5a287/sensors-18-00805-g001.jpg

相似文献

3
Multiple-Parameter Estimation Method Based on Spatio-Temporal 2-D Processing for Bistatic MIMO Radar.
Sensors (Basel). 2015 Dec 14;15(12):31442-52. doi: 10.3390/s151229865.
5
A tensor-based subspace approach for bistatic MIMO radar in spatial colored noise.
Sensors (Basel). 2014 Feb 25;14(3):3897-907. doi: 10.3390/s140303897.
8
A unitary ESPRIT scheme of joint angle estimation for MOTS MIMO radar.
Sensors (Basel). 2014 Aug 7;14(8):14411-22. doi: 10.3390/s140814411.
9
Real-Valued Covariance Vector Sparsity-Inducing DOA Estimation for Monostatic MIMO Radar.
Sensors (Basel). 2015 Nov 10;15(11):28271-86. doi: 10.3390/s151128271.

引用本文的文献

1
Joint Detection and DOA Tracking with a Bernoulli Filter Based on Information Theoretic Criteria.
Sensors (Basel). 2018 Oct 15;18(10):3473. doi: 10.3390/s18103473.

本文引用的文献

1
Direction of Arrival Estimation for MIMO Radar via Unitary Nuclear Norm Minimization.
Sensors (Basel). 2017 Apr 24;17(4):939. doi: 10.3390/s17040939.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验