Suppr超能文献

一种用于波达方向估计的新型广义嵌套阵列MIMO雷达,具有增加的自由度和低互耦特性。

A Novel Generalized Nested Array MIMO Radar for DOA Estimation with Increased Degrees of Freedom and Low Mutual Coupling.

作者信息

Yang Zhongtian, Bi Zhengyang, Chen Ye, Hao Honghao

机构信息

School of Energy and Power Engineering, Beihang University, Beijing 102200, China.

College of Advanced Technology, Xi'an Jiaotong-Liverpool University, Suzhou 215000, China.

出版信息

Sensors (Basel). 2024 Jun 18;24(12):3952. doi: 10.3390/s24123952.

Abstract

In array signal processing, the mutual coupling among physical sensors can inevitably affect the estimation of the direction of arrival (DOA). Despite the fact that multiple-input and multiple-output (MIMO) radar can provide greater degrees of freedom (DOFs), the influence of mutual coupling is largely overlooked in many current MIMO radar designs. To tackle this issue, we propose the utilization of a generalized nested array (GNA) in transmitter array and we introduce an expansion factor into the nested array in the receiver array. Thereby, a novel GNA-MIMO radar is put forward. The proposed MIMO radar offers O(N4) consecutive DOFs with sensors and avoids the adverse effects of high mutual coupling caused by closely located sensors. Furthermore, we derive the closed-form expressions for the position of physical sensors and the attainable consecutive DOFs of the proposed MIMO radar. Through simulation experiments, we demonstrate the superior accuracy of the proposed MIMO configuration in DOA estimation and angle resolution under the condition of mutual coupling effect.

摘要

在阵列信号处理中,物理传感器之间的互耦不可避免地会影响到达方向(DOA)估计。尽管多输入多输出(MIMO)雷达可以提供更大的自由度(DOF),但在当前许多MIMO雷达设计中,互耦的影响在很大程度上被忽视了。为了解决这个问题,我们提出在发射机阵列中使用广义嵌套阵列(GNA),并在接收机阵列的嵌套阵列中引入扩展因子。由此,提出了一种新型的GNA-MIMO雷达。所提出的MIMO雷达利用N个传感器提供O(N4)个连续自由度,避免了因传感器位置靠近而产生的高互耦的不利影响。此外,我们推导了所提出的MIMO雷达物理传感器位置和可实现的连续自由度的闭式表达式。通过仿真实验,我们证明了所提出的MIMO配置在互耦效应条件下DOA估计和角度分辨率方面具有更高的精度。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f32e/11207968/3d950fb774ce/sensors-24-03952-g001.jpg

相似文献

6
Degree-of-Freedom Strengthened Cascade Array for DOD-DOA Estimation in MIMO Array Systems.
Sensors (Basel). 2018 May 14;18(5):1557. doi: 10.3390/s18051557.
8
Off-Grid DOA Estimation Using Sparse Bayesian Learning for MIMO Radar under Impulsive Noise.
Sensors (Basel). 2022 Aug 20;22(16):6268. doi: 10.3390/s22166268.
10
A MIMO Radar-Based DOA Estimation Structure Using Compressive Measurements.
Sensors (Basel). 2019 Oct 29;19(21):4706. doi: 10.3390/s19214706.

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