一种面向低成本轻量级雷达的单比特复用阵列信号收发框架

冯力方,  黄磊,  周汉飞,  李强,  刘仕奇,  张沛昌

文章导航 > 雷达学报  > 2024 >  13(1): 134-149
冯力方, 黄磊, 周汉飞, 等. 一种面向低成本轻量级雷达的单比特复用阵列信号收发框架[J]. 雷达学报(中英文), 2024, 13(1): 134–149. doi: 10.12000/JR23223
引用本文: 冯力方, 黄磊, 周汉飞, 等. 一种面向低成本轻量级雷达的单比特复用阵列信号收发框架[J]. 雷达学报(中英文), 2024, 13(1): 134–149. doi: 10.12000/JR23223
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FENG Lifang, HUANG Lei, ZHOU Hanfei, et al. A single-bit multiplexing array signal transceiver framework for low-cost lightweight radar[J]. Journal of Radars, 2024, 13(1): 134–149. doi: 10.12000/JR23223
Citation: FENG Lifang, HUANG Lei, ZHOU Hanfei, et al. A single-bit multiplexing array signal transceiver framework for low-cost lightweight radar[J]. Journal of Radars, 2024, 13(1): 134–149. doi: 10.12000/JR23223
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一种面向低成本轻量级雷达的单比特复用阵列信号收发框架

DOI: 10.12000/JR23223
  • 1.

    深圳大学电子与信息工程学院 深圳 518060

  • 2.

    深圳大学射频异质异构集成全国重点实验室 深圳 518060

基金项目: 国家自然科学基金(62101347, 62371306)，国家杰出青年科学基金(61925108)，国家自然科学基金国际合作与交流重点项目(62220106009)，广东省基础与应用基础研究基金(2021A1515011855, 2022A1515110125)，深圳市孔雀团队项目(KQTD20210811090051046)，深圳大学2035卓越研究计划，湖州市太赫兹集成电路与系统重点实验室基金(HKLTICY23KF04)，深圳市基础研究项目(20220810142731001, 20200823154213001)
详细信息
    作者简介:

    冯力方，博士，助理教授，主要研究方向为雷达信号处理、雷达系统

    黄　磊，博士，教授，主要研究方向为阵列信号处理、雷达信号处理

    周汉飞，博士，副研究员，主要研究方向为雷达信号处理

    李　强，博士，副教授，主要研究方向为阵列信号处理

    刘仕奇，博士，副研究员，主要研究方向为雷达信号处理

    张沛昌，博士，副教授，主要研究方向为MIMO多天线系统、毫米波信号处理

    通讯作者:

    冯力方 fenglifangf@163.com

  • 责任主编：易伟 Corresponding Editor: YI Wei

  • 中图分类号: TN974

A Single-bit Multiplexing Array Signal Transceiver Framework for Low-cost Lightweight Radar

  • 1.

    College of Electronics and Information Engineering, Shenzhen University, Shenzhen 518060, China

  • 2.

    State Key Laboratory of Radio Frequency Heterogeneous Integration, Shenzhen University, Shenzhen 518060, China

Funds: The National Natural Science Foundation of China (62101347, 62371306), The National Science Fund for Distinguished Young Scholars (61925108), The Key Project of International Cooperation and Exchanges of the National Natural Science Foundation of China (62220106009), The Guangdong Basic and Applied Basic Research Foundation (2021A1515011855, 2022A1515110125), The project of Shenzhen Peacock Plan Teams (KQTD20210811090051046), The Shenzhen University 2035 Program for Excellent Research, The Huzhou Key Laboratory of Terahertz Integrated Circuits and Systems (HKLTICY23KF04), The Foundation of Shenzhen (20220810142731001, 20200823154213001)
More Information

    摘要
  • 摘要: 面向低成本轻量级雷达的应用需求，该文提出了一种联合单比特采样量化和时分复用接收机的雷达信号收发框架。首先，通过介绍该框架的工作原理，阐述其在节省接收机数量方面的优势。从雷达资源配置的角度，分析了单比特采样量化在该框架中的重要性，并提出了该框架可利用时间换空间，获得比经典线性调频连续波雷达更好的探测性能。接着，推导了雷达测距、测速和测角公式，以及目标参数估计的克拉美罗界。在此基础上，验证了该框架的性能优势，同时也给出了其稳定工作的信噪比条件。最后，利用一种基于单比特二维多重信号分类的速度维配对算法，验证了该框架获取目标原理的正确性，以及性能分析的可靠性。

     

    Abstract: This paper proposes a radar signal transceiver framework that combines single-bit sampling and time division multiplexing receivers to satisfy the application requirements of low-cost lightweight radars. Firstly, this paper explains the advantages of saving the number of receivers by introducing the working principle of the framework. From the perspective of radar resource allocation, the importance of single-bit sampling in this framework was analyzed; additionally, the proposed framework can achieve better performance than a classical linear frequency modulation continuous wave radar using time and space exchange. Subsequently, the formulas for range, velocity and angle measurement were derived, along with the Cramér-Rao bound for estimating target parameters. Accordingly, the performance advantages of the proposed framework were verified, and the signal-to-noise ratio conditions for its stable operation were determined. Finally, this paper verifies the accuracy of the target acquisition principle of the proposed framework and the reliability of the performance analysis by using a velocity dimensional pairing algorithm based on single-bit two-dimensional multiple signal classification.

     

    • HTML全文

  • 图  1  SMA框架示意图

    Figure  1.  The schematic diagram of SMA framework

    下载: 全尺寸图片 幻灯片

    图  2  SMA在TDM-MIMO中应用的示意图

    Figure  2.  Schematic diagram of SMA application in TDM-MIMO

    下载: 全尺寸图片 幻灯片

    图  3  SMA-MIMO天线工作原理

    Figure  3.  Working principle of SMA-MIMO antenna

    下载: 全尺寸图片 幻灯片

    图  4  雷达资源配置对比示意图

    Figure  4.  Schematic diagram of radar resource allocation comparison

    下载: 全尺寸图片 幻灯片

    图  5  发射信号的时频曲线和接收阵元分时接入的时序

    Figure  5.  Time-frequency curve of the transmitting signal and sequential of the time-division access of receiving elements

    下载: 全尺寸图片 幻灯片

    图  6  距离估计性能

    Figure  6.  Distance estimation performance

    下载: 全尺寸图片 幻灯片

    图  7  速度估计性能

    Figure  7.  Velocity estimation performance

    下载: 全尺寸图片 幻灯片

    图  8  DOA估计性能

    Figure  8.  DOA estimation performance

    下载: 全尺寸图片 幻灯片

    图  9  固定第1个目标SNR下的距离估计性能

    Figure  9.  Distance estimation performance under fixed first target SNR

    下载: 全尺寸图片 幻灯片

    图  10  固定第1个目标SNR下的速度估计性能

    Figure  10.  Velocity estimation performance under fixed first target SNR

    下载: 全尺寸图片 幻灯片

    图  11  固定第1个目标SNR下的DOA估计性能

    Figure  11.  DOA estimation performance under fixed first target SNR

    下载: 全尺寸图片 幻灯片

    图  12  归一化2D-MUSIC伪谱俯视图

    Figure  12.  Normalized 2D-MUSIC pseudospectral top view

    下载: 全尺寸图片 幻灯片

    图  13  提出算法的估计性能

    Figure  13.  The estimation performance of the proposed algorithm

    下载: 全尺寸图片 幻灯片

    表  1  不同收发框架需要收发机的数量

    Table  1.   Number of transceivers required for different frameworks

    收发框架类型发射机数量(个)接收机数量(个)
    SIMO112
    TDM-MIMO16
    SMA-MIMO12
    下载: 导出CSV

    表  2  不同雷达类型的参数

    Table  2.   Parameters of different radar types

    案例名接收机数量阵元数量MCPI (ms)脉冲重复周期(μs)脉冲个数P脉冲宽度(μs)ADC采样频率(MHz)单周期采样点数L
    TMLR111.297.40261297.40260.684466
    SMAR-2121.297.40261248.70131.368966
    SMAR-4141.297.40261224.35062.737866
    SMAR-8181.297.40261212.17535.475666
    SMAR-161161.297.4026126.087710.951166
    SLAR-2221.297.40261248.70131.368966
    SLAR-4441.297.40261224.35062.737866
    SLAR-8881.297.40261212.17535.475666
    SLAR-1616161.297.4026126.087710.951166
    下载: 导出CSV
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出版历程
  • 收稿日期:  2023-11-17
  • 修回日期:  2023-12-29
  • 网络出版日期:  2024-01-08
  • 刊出日期:  2024-02-28

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