薛喜扬2,
杨小峰4,
汪祖民2
1.浙江理工大学信息学院 杭州 310018
2.大连大学信息工程学院 大连 116622
3.五邑大学智能制造学部 江门 529020
4.西安邮电大学电子工程学院 西安 710121
基金项目:国家自然科学基金(61301258, 61871164)，浙江省自然科学基金重点项目(LZ21F010002)，中国博士后科学基金(2016M590218)，国防科技重点实验室基金(61424010106)
详细信息
作者简介:王洪雁：男，1979年生，副教授，博士，研究方向为MIMO雷达信号处理、毫米波通信、机器视觉
薛喜扬：女，1996年生，硕士生，研究方向为雷达信号处理、毫米波通信
杨小峰：男，1982年生，讲师，博士，研究方向为阵列信号处理、模拟电路设计
汪祖民：男，1975年生，教授，博士，研究方向为信号处理、机器学习
通讯作者:王洪雁 gglongs@163.com
中图分类号:TN958计量
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被引次数:0
出版历程
收稿日期:2020-11-17
修回日期:2021-02-20
网络出版日期:2021-03-03
刊出日期:2021-11-23
Joint Design of Millimeter-wave Radar Waveform Parameters and Receiving Weight under Resolution Constraints
Hongyan WANG1, 2, 3,,,Xiyang XUE2,
Xiaofeng YANG4,
Zumin WANG2
1. School of Information Science and Technology, Zhejiang Sci-Tech University, Hangzhou 310018, China
2. College of Information Engineering, Dalian University, Dalian 116622, China
3. Faculty of Intelligent Manufacturing, Wuyi University, Jiangmen 529020, China
4. School of Electronic Engineering, Xi’an University of Posts &Telecommunications, Xi’an 710121, China
Funds:The National Natural Science Foundation of China (61301258, 61871164), The Key Projects of Natural Science Foundation of Zhejiang Province (LZ21F010002), China Postdoctoral Science Foundation (2016M590218), The National Defense Science and Technology Key Laboratory Foundation (61424010106)
摘要
摘要:针对自动驾驶中有限平台空间及发射功率导致毫米波雷达目标检测性能较低的问题，该文提出一种距离及速度分辨率约束下提升毫米波雷达目标检测概率的波形参数及接收权联合设计方法。首先，基于调频连续波(FMCW)信号，所提方法建立了毫米波相控阵阵列检测模型；其次，通过分析距离及速度分辨率与发射波形参数关系，构建考虑距离及速度分辨率的发射波形参数约束；然后，基于最大化输出信杂噪比(SCNR)准则，建立具有距离及速度分辨率约束的发射波形参数及接收权值联合优化模型以改善毫米波雷达目标检测及距离速度分辨性能；最后，所提方法基于交替迭代方法求解所得复杂非线性优化问题。仿真结果表明，所提方法可自适应调整发射波形参数和接收权以提升目标检测性能同时满足距离及速度分辨率需求。
关键词:毫米波雷达/
自动驾驶/
分辨率约束/
波形参数设计
Abstract:Considering the issue of poor target detection performance of millimeter-wave radar caused by the limited platform space and transmitting power in the case of autonomous driving, a joint design approach of waveform parameters and receiving weight is developed in this paper to improve the target detection probability of millimeter wave radar with range and velocity resolution constraints. Firstly, based on the Frequency Modulated Continuous Wave (FMCW) signal, the millimeter-wave phased array detection model is established via the proposed method; Secondly, the constraints of the transmitting waveform parameters concerning the range and velocity resolution are constructed by analyzing the relationship between the range along with speed resolution and the transmitting waveform parameters; After that, based on the criterion of maximizing the output Signal to Clutter plus Noise Ratio (SCNR), a joint optimization model of transmitting waveform parameters and receiving weight with range and velocity resolution constraints is established to improve the target detection and range-velocity resolution performance of millimeter wave radar; Finally, based on the alternate iteration method, the resultant complex nonlinear optimization problem can be solved via the developed approach. Simulation results show that the proposed method can adaptively adjust the transmitting waveform parameters and receiving weight to improve the target detection performance with satisfying the requirements of range and speed resolution.
Key words:Millimeter wave radar/
Autonomous driving/
Resolution constraints/
Waveform parameters design
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