基于阵列信号相位差矢量的信号检测法

陈婵嫔; 姜园

doi:10.3969/j.issn.2096-6091.2022.09.005

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基于阵列信号相位差矢量的信号检测法

“第五届全国电子战大会”专栏 | 更新时间：2024-02-27

- 基于阵列信号相位差矢量的信号检测法
- Signal Detection Method Based on Phase Difference Vector of Array Signal
- 新一代信息技术 2022年5卷第9期页码：22-27
- 作者机构：
  
  1.中山大学电子与通信工程学院，广东深圳 518107
  2.中山大学电子与信息工程学院，广东广州 510006
- 作者简介：
  
  [ "陈婵嫔（1997‒），女，硕士研究生，研究方向：阵列信号处理。" ]
  [ "姜园（1970‒），男，博士，教授，博士生导师，研究方向：认知通信、卫星通信网络及其在无线通信系统中的应用。" ]
- 基金信息：
  
  2021年广东省海洋经济发展（海洋六大产业）专项资金项目(粤自然资合［2021］32号)
- DOI：10.3969/j.issn.2096-6091.2022.09.005
  中图分类号：
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陈婵嫔, 姜园. 基于阵列信号相位差矢量的信号检测法[J]. 新一代信息技术, 2022, 5(9): 22-27

CHEN Chan-pin, JIANG Yuan. Signal Detection Method Based on Phase Difference Vector of Array Signal[J]. New Generation of Information Technology, 2022, 5(9): 22-27
陈婵嫔, 姜园. 基于阵列信号相位差矢量的信号检测法[J]. 新一代信息技术, 2022, 5(9): 22-27 DOI： 10.3969/j.issn.2096-6091.2022.09.005.

CHEN Chan-pin, JIANG Yuan. Signal Detection Method Based on Phase Difference Vector of Array Signal[J]. New Generation of Information Technology, 2022, 5(9): 22-27 DOI： 10.3969/j.issn.2096-6091.2022.09.005.

摘要

复杂电磁环境中，针对低信噪比下信号检测算法准确度不高的问题，本文提出一种新的基于阵列信号相位差矢量的信号检测算法。对于静止发射源和固定检测阵的检测场景，该算法利用发射源来波方向不变的特点，求解不同阵元接收信号的相位差矢量，将时间前后多段数据的相位差矢量相关系数均值作为检测参数，以减少环境干扰的影响，在低信噪比情况下进行快速有效的信号检测。仿真结果表明，对比能量检测和最小描述长度检测方案，该算法在低信噪比下检测性能好、计算复杂度低。

Abstract

In the complex electromagnetic environment, the signal detection algorithms are not accurate at low SNR (Signal-to-Noise Ratio) scenarios. In order to solve this problem, a new signal detection algorithm based on the phase difference vector of the array signal is proposed in this paper. For the detection scenarios of stationary emission sources and fixed detection arrays, the algorithm firstly gets the phase difference vectors of the received signals of different array elements. And then, it takes the average value of the phase difference vector correlation coefficients before and after time as the detection parameters, which takes advantage of the invariable direction of the emission source. This method reduces the impact of environmental interference, and detects signals effectively and quickly at low SNR scenarios. Compared with the ED (Energy Detection) and MDLD (Minimum Description Length Detection) algorithms, the simulation results show that the proposed algorithm has great detection performance at low SNR scenarios. What’s more, it has low computational complexity.

关键词

信号检测相位差矢量相关系数阵列信号处理

Keywords

signal detectionphase difference vectorcorrelation coefficientarray signal processing

references

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