基于信道互易的PA-MIMO雷达目标检测性能研究

齐铖; 谢军伟; 费太勇; 张浩为; 杨潇

doi:10.13700/j.bh.1001-5965.2022.1014

基于信道互易的PA-MIMO雷达目标检测性能研究

doi: 10.13700/j.bh.1001-5965.2022.1014

1.
空军工程大学防空反导学院，西安 710051
2.
空军预警学院陆基预警装备系，武汉 430019

基金项目: 国家自然科学基金(62001506)

详细信息

通讯作者:
E-mail：zhw_xhzf@163.com

中图分类号: V221⁺.3；TB553
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出版历程
- 收稿日期: 2022-12-27
- 录用日期: 2023-03-10
- 网络出版日期: 2023-03-21
- 整期出版日期: 2025-01-31

Research on target detection performance of PA-MIMO radar based on channel reciprocity

1.
Air and Missile Defense College，Aire Force Engineering University，Xi’an 710051，China
2.
Air Force Early Warning Academy，Wuhan 430019，China

Funds: National Natural Science Foundation of China (62001506)

More Information

Corresponding author: E-mail：zhw_xhzf@163.com

摘要

摘要:
针对如何高效运用雷达资源管理技术提高目标检测的准确性和可靠性，构建了一种混合分布式相控阵-多输入多输出（PA-MIMO）雷达系统模型，建立了基于奈曼一皮尔逊（NP）准则的目标检测模型，以及推导了同时考虑子阵收发共用导致的信道互易性和多脉冲相参积累条件的似然比（LRT）检测器，得到了给定虚警概率下的目标检测概率。通过与相控阵雷达、单输入多输出（SIMO）雷达、多输入单输出（MISO）雷达及最优阵元配置PA-MIMO雷达的性能对比，验证了混合分布式PA-MIMO雷达系统利用子阵内信号的相关性和子阵之间信号的独立性可以同时获取相干处理增益和波形分集增益，其最大检测概率达到0.987 4，高于其他4种体制雷达，有效提高了雷达系统的目标检测性能。通过仿真分析验证了信道互易性与脉冲积累对于雷达检测性能的提升作用。
- 混合分布式相控阵-多输入多输出 /
- 目标检测 /
- 信道互易性 /
- 分集增益 /
- 相参增益 /
- 脉冲积累
Abstract:
On the issue of how to effectively utilize radar resources to improve the accuracy and reliability of target detection, proposed a hybrid distributed phased array-multiple input and multiple output (PA-MIMO) radar system model and established a target detection model based on the Neyman-Pearson (NP) criterion. The likelihood ratio (LRT) detector was derived under the condition of channel reciprocity caused by sub-array transceiver sharing and multi-pulse coherent accumulation, and the target detection probability under a given false alarm probability was obtained. On this basis, by comparing the performances of phased array radar, single input and multiple output (SIMO) radar, multiple input and single output (MISO) radar, and PA-MIMO radar with optimal array element configuration, it was verified that the hybrid distributed PA-MIMO radar system utilized the correlation of signals within sub-arrays and the independence of signals between sub-arrays to simultaneously obtain coherent processing gain and waveform diversity gain, and its maximum detection probability reached 0.987 4, which was higher than the other four radar systems, effectively improving the target detection performance of the radar system. Finally, the effect of channel reciprocity and pulse accumulation on the radar detection performance was verified by simulation analysis.
- PA-MIMO /
- target detection /
- channel reciprocity /
- diversity gain /
- coherent gain /
- pulse accumulation

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图 1 混合分布式PA-MIMO雷达系统结构

Figure 1. Structure of hybrid distributed PA-MIMO radar system

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图 2 混合分布式PA-MIMO雷达系统检测模型

Figure 2. Hybrid distributed PA-MIMO radar system detection model

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图 3 信号处理流程图

Figure 3. Signal processing flowchart

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图 4 典型体制雷达检测概率曲线

Figure 4. Detection probability curves of typical radar systems

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图 5 K=1时，检测概率曲线

Figure 5. Detection probability curves (K=1)

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图 6 K=10时，检测概率曲线

Figure 6. Detection probability curves (K=10)

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表 1 典型体制雷达最大检测概率

Table 1. Maximum detection probability of typical radar systems

雷达最优配置方案检测概率

相控阵雷达 (1,1) 0.80

MISO 雷达 (1,13) 0.9812

SIMO 雷达 (1,1) 0.80

PA-MIMO^[11,18] (1,13) 0.9812

本文雷达 3 0.9874

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表 2 仿真参数设置

Table 2. Simulation parameter settings

参数仿真设定值

子阵数量Q 2,4,6,9

脉冲积累数K 1,10

噪声方差 $\sigma _n^2$ /dB 1

虚警概率P_fa 10⁻⁸

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