多输入多输出雷达搜索模式下5G毫米波射频算法

doi:10.13229/j.cnki.jdxbgxb.20221497

摘要/Abstract

摘要：

为提升毫米波在射频传输中的传输安全，提出了多输入多输出（MIMO）雷达搜索模式下5G毫米波射频算法。根据5G毫米波的传输特性，获取了MIMO雷达搜索模式的雷达截获因子，建立了毫米波射频隐身模型并获取目标函数，计算了雷达搜索模式的射频截获概率。基于毫米波信道稀疏性结果结合贝叶斯算法获取了毫米波射频通道的最佳估计值，从而计算出射频通道最佳值，利用估计后的信号传输隐身后的射频实现射频传输。实验结果表明，本文方法在毫米波射频传输时间为140 s时，信纳比ρ高达0.83。证明使用该方法开展毫米波射频传输时，毫米波传输质量高，不易发生相位幅值的变形，可实现5G毫米波射频的高质量传输。

关键词: 多输入多输出雷达搜索模式, 5G毫米波, 射频算法, 射频隐身, 贝叶斯算法

Abstract:

In order to improve the transmission security of millimeter wave in radio frequency （RF） transmission， the research on 5G millimeter wave RF algorithm in multi-input multi-output （MIMO） radar search mode was proposed. Based on the transmission characteristics of 5G millimeter wave, the radar interception factor of MIMO radar search mode was obtained. A millimeter wave radio frequency stealth model was established and the objective function was obtained. The radio frequency interception probability of the radar search mode was calculated. The best estimation value of millimeter wave RF channel was obtained by combining the millimeter wave channel sparsity results with Bayesian algorithm， from which the best value of RF channel was calculated， and the RF transmission was realized by using the estimated signal transmission after stealth. The experimental results show that when the millimeter wave RF transmission time is 140 s， the ρ of the proposed method is as high as 0.83. It is proved that when this method is used for millimeter wave RF transmission， the transmission quality of millimeter wave is high， the phase amplitude deformation is not easy to occur， and the high-quality transmission of 5G millimeter wave RF can be realized.

Key words: multi-input multi-output（MIMO） radar search mode, 5G millimeter wave, RF algorithm, radio frequency stealth, Bayesian algorithm

中图分类号:

TN929

黄志祥,彭照楠,侯学师,陈谦. 多输入多输出雷达搜索模式下5G毫米波射频算法[J]. 吉林大学学报(工学版), 2024, 54(3): 836-841.

Zhi-xiang HUANG,Zhao-nan PENG,Xue-shi HOU,Qian CHEN. 5G millimeter wave RF algorithm in multiple⁃input multiple⁃output radar search mode[J]. Journal of Jilin University(Engineering and Technology Edition), 2024, 54(3): 836-841.

图/表 2

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参考文献 15

1	孙学波, 李志福, 王元杰, 等. 基于5G通信网络的高精度无线微震监测技术研究[J]. 矿业安全与环保, 2022, 49(2): 83-90.
	Sun Xue-bo, Li Zhi-fu, Wang Yuan-jie, et al. Research on high-precision wireless microseismic monitoring technology based on 5G communication network[J]. Mining Safety & Environmental Protection, 2022, 49(2): 83-90.
2	佘蕊, 张宁池, 王艳茹, 等. 面向电力物联网的5G通信认知无线电NOMA系统研究[J]. 中国电力, 2021, 54(5): 35-45.
	She Rui, Zhang Ning-chi, Wang Yan-ru, et al. Research on cognitive radio non-orthogonal multiple access system in 5G communications oriented to ubiquitous power internet of things[J]. Electric Power, 2021, 54(5): 35-45.
3	申敏, 王哲. 5G毫米波硬件损伤对波形的影响及补偿方法[J]. 重庆邮电大学学报: 自然科学版, 2020, 32(4): 544-553.
	Shen Min, Wang Zhe. Influence of 5G millimeter wave hardware impairments on waveforms and compensation methods[J]. Journal of Chongqing University of Posts and Telecommunications (Natural Science Edition), 2020, 32(4): 544-553.
4	姚树锋, 李广伟, 杨圣杰, 等. 5G毫米波有源阵列封装天线技术研究[J]. 微波学报, 2022, 38(1): 1-6.
	Yao Shu-feng, Li Guang-wei, Yang Sheng-jie, et al. Research on 5G millimeter-wave active array antenna-in-package[J]. Journal of Microwaves, 2022, 38(1): 1-6.
5	丁青锋, 高鑫鹏, 邓玉前. 毫米波中继网络离散正交匹配追踪混合预编码算法[J]. 计算机工程, 2020, 46(7): 192-197, 205.
	Ding Qing-feng, Gao Xin-peng, Deng Yu-qian. Hybrid precoding algorithm based on discrete orthogonal matching pursuit for millimeter-wave relay networks[J]. Computer Engineering, 2020, 46(7): 192-197, 205.
6	靳标, 彭宇, 邝晓飞, 等. 基于串联式一维神经网络的毫米波雷达动态手势识别方法[J]. 电子与信息学报, 2021, 43(9): 2743-2750.
	Jin Biao, Peng Yu, Kuang Xiao-fei, et al. Dynamic gesture recognition method based on millimeter-wave radar by one-dimensional series neural network[J]. Journal of Electronics & Information Technology, 2021, 43(9): 2743-2750.
7	陈兵兵, 曹欣远, 陈明生, 等. 基于欠定方程的频谱峰值搜索算法及其在连续毫米波雷达系统中的应用[J]. 电子学报, 2020, 48(2): 369-374.
	Chen Bing-bing, Cao Xin-yuan, Chen Ming-sheng, et al. A spectral peak search algorithm based on underdetermined equation and its application in continuous millimeter wave radar system[J]. Acta Electronica Sinica, 2020,48(2): 369-374.
8	申敏, 梁晶, 侯嘉智. 波束扫描下5G毫米波小区搜索算法[J]. 电信科学, 2020, 36(6): 97-106.
	Shen Min, Liang Jing, Hou Jia-zhi. 5G millimeter wave cell search algorithm with beam sweeping[J]. Telecommunications Science, 2020, 36(6): 97-106.
9	杨瑞科, 高霞, 武福平, 等. 5G毫米波降雨动态衰减模拟研究[J]. 光子学报, 2021, 50(10): 338-344.
	Yang Rui-ke, Gao Xia, Wu Fu-ping, et al. Simulation of 5G millimeter wave rain dynamic attenuation[J]. Acta Photonica Sinica, 2021, 50(10): 338-344.
10	刘洪全, 杨国胜, 同志强. 协同制导空空导弹目标截获概率研究[J]. 航空兵器, 2020, 27(6): 49-54.
	Liu Hong-quan, Yang Guo-sheng, Tong Zhi-qiang. Research on target acquisition probability of air-to-air missiles in cooperative guidance scenarios[J]. Aero Weaponry, 2020, 27(6): 49-54.
11	刘通, 赵志钦, 曹兰英. 基于截获因子评价的双基前视SAR成像LPI设计[J]. 雷达科学与技术, 2022, 20(4): 449-456, 463.
	Liu Tong, Zhao Zhi-qin, Cao Lan-ying. LPI design for bistatic forward-looking SAR imaging based on intercept factor evaluation[J]. Radar Science and Technology, 2022, 20(4): 449-456, 463.
12	刘春玲, 刘敏提, 丁元明, 等. 基于压缩感知与熵的多天线宽带频谱检测算法[J]. 计算机仿真, 2020, 37(11): 167-172.
	Liu Chun-ling, Liu Min-ti, Ding Yuan-ming, et al. Compressed sensing and entropy based multi-antenna wideband spectrum detection algorithm[J]. Computer Simulation, 2020, 37(11): 167-172.
13	李怡然, 郭肃丽, 王帅. 基于压缩感知算法的数字预失真简化模型[J]. 电子测量技术, 2021, 44(17): 54-59.
	Li Yi-ran, Guo Su-li, Wang Shuai. Simplified digital pre-distortion model based on compressed sensing algorithm[J]. Electronic Measurement Technology, 2021, 44(17): 54-59.
14	赵海霞, 李赟, 石洪波. 基于高维数据的加权朴素贝叶斯算法研究[J].统计与决策,2020,36(8):5-9.
	Zhao Hai-xia, Li Yun, Shi Hong-bo. Research on weighted naive bayes algorithm based on high-dimensional data[J]. Statistics & Decision, 2020, 36(8): 5-9.
15	许甜华, 吴明礼. 一种基于TF-IDF的朴素贝叶斯算法改进[J]. 计算机技术与发展, 2020, 30(2): 75-79.
	Xu Tian-hua, Wu Ming-li. An improved naive bayes algorithm based on TF-IDF[J]. Computer Technology and Development, 2020, 30(2): 75-79.

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毫米波射频传输时间/s	信纳比测试结果
毫米波射频传输时间/s	本文方法	文献［3］方法	文献［5］方法
20	1.00	1.00	0.98
40	1.00	0.99	0.92
60	0.98	0.95	0.84
80	0.95	0.90	0.79
100	0.91	0.85	0.73
120	0.87	0.81	0.67
140	0.83	0.76	0.62

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