Volume 13 Issue 1
Feb.  2024
Turn off MathJax
Article Contents
Article Navigation >  Journal of Radars  > 2024  >  13(1): 134-149
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
shu

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

DOI: 10.12000/JR23223
  • 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
  • Corresponding author: FENG Lifang, fenglifangf@163.com
  • Received Date: 2023-11-17
  • Rev Recd Date: 2023-12-29
    • Available Online: 2024-01-02
  • Publish Date: 2024-01-08
    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.

     

    • FullText(HTML)
  • loading
    • References(42)
  • [1]
    LIANG Junli, ZHANG Xuan, SO H C, et al. Sparse array beampattern synthesis via alternating direction method of multipliers[J]. IEEE Transactions on Antennas and Propagation, 2018, 66(5): 2333–2345. doi: 10.1109/TAP.2018.2811778
    [2]
    WANG Xiangrong, ABOUTANIOS E, and AMIN M G. Thinned array beampattern synthesis by iterative soft-thresholding-based optimization algorithms[J]. IEEE Transactions on Antennas and Propagation, 2014, 62(12): 6102–6113. doi: 10.1109/TAP.2014.2364048
    [3]
    CHEN Kesong, YUN Xiaohua, HE Zishu, et al. Synthesis of sparse planar arrays using modified real genetic algorithm[J]. IEEE Transactions on Antennas and Propagation, 2007, 55(4): 1067–1073. doi: 10.1109/TAP.2007.893375
    [4]
    FENG Lifang, CUI Guolong, YU Xianxiang, et al. Beampattern synthesis via the constrained subarray layout optimization[J]. IEEE Transactions on Antennas and Propagation, 2021, 69(1): 182–194. doi: 10.1109/TAP.2020.3008652
    [5]
    ZHANG Ruoyu, SHIM B, and WU Wen. Direction-of-arrival estimation for large antenna arrays with hybrid analog and digital architectures[J]. IEEE Transactions on Signal Processing, 2022, 70: 72–88. doi: 10.1109/TSP.2021.3119768
    [6]
    QIN Si, ZHANG Y D, and AMIN M G, et al. Generalized coprime array configurations for direction-of-arrival estimation[J]. IEEE Transactions on Signal Processing, 2015, 63(6): 1377–1390. doi: 10.1109/TSP.2015.2393838
    [7]
    PAL P and VAIDYANATHAN P P. Nested arrays: A novel approach to array processing with enhanced degrees of freedom[J]. IEEE Transactions on Signal Processing, 2010, 58(8): 4167–4181. doi: 10.1109/TSP.2010.2049264
    [8]
    BARAL A B and TORLAK M. Joint Doppler frequency and direction of arrival estimation for TDM MIMO automotive radars[J]. IEEE Journal of Selected Topics in Signal Processing, 2021, 15(4): 980–995. doi: 10.1109/JSTSP.2021.3073572
    [9]
    HU Xueyao, LI Yang, LU Man, et al. A multi-carrier-frequency random-transmission chirp sequence for TDM MIMO automotive radar[J]. IEEE Transactions on Vehicular Technology, 2019, 68(4): 3672–3685. doi: 10.1109/TVT.2019.2900357
    [10]
    HONG Lang and HONG S. Systems and methods for virtual aperature radar tracking[P]. US, EP3746809A4, 2021.
    [11]
    LEE M S and KIM Y H. Design and performance of a 24-GHz switch-antenna array FMCW radar system for automotive applications[J]. IEEE Transactions on Vehicular Technology, 2010, 59(5): 2290–2297. doi: 10.1109/TVT.2010.2045665
    [12]
    FANG Jun, LIU Yumeng, LI Hongbin, et al. One-bit quantizer design for multisensor GLRT fusion[J]. IEEE Signal Processing Letters, 2013, 20(3): 257–260. doi: 10.1109/LSP.2013.2243144
    [13]
    黄广佳, 程旭, 饶彬, 等. 基于广义Rao检验的单/多比特MIMO雷达运动目标检测方法[J/OL]. 系统工程与电子技术, 1–12. http://kns.cnki.net/kcms/detail/11.2422.TN.20230201.1510.001.html, 2023.

    HUANG Guangjia, CHENG Xu, RAO Bin, et al. One/multi-bit MIMO radar detection of a moving target based on generalized Rao test[J/OL]. Systems Engineering and Electronics, 1–12. http://kns.cnki.net/kcms/detail/11.2422.TN.20230201.1510.001.html, 2023.
    [14]
    CHENG Xu, CIUONZO D, ROSSI P S, et al. Multi-bit & sequential decentralized detection of a noncooperative moving target through a generalized Rao test[J]. IEEE Transactions on Signal and Information Processing over Networks, 2021, 7: 740–753. doi: 10.1109/TSIPN.2021.3126930
    [15]
    CHENG Xu, CIUONZO D, and ROSSI P S. Multibit decentralized detection through fusing smart and dumb sensors based on Rao test[J]. IEEE Transactions on Aerospace and Electronic Systems, 2020, 56(2): 1391–1405. doi: 10.1109/TAES.2019.2936777
    [16]
    WANG Xueqian, LI Gang, and VARSHNEY P K. Distributed detection of weak signals from one-bit measurements under observation model uncertainties[J]. IEEE Signal Processing Letters, 2019, 26(3): 415–419. doi: 10.1109/LSP.2019.2892196
    [17]
    LI Chengxi, HE You, WANG Xueqian, et al. Distributed detection of sparse stochastic signals via fusion of 1-bit local likelihood ratios[J]. IEEE Signal Processing Letters, 2019, 26(12): 1738–1742. doi: 10.1109/LSP.2019.2945193
    [18]
    LI Chengxi, LI Gang, and VARSHNEY P K. Distributed detection of sparse stochastic signals with 1-bit data in tree-structured sensor networks[J]. IEEE Transactions on Signal Processing, 2020, 68: 2963–2976. doi: 10.1109/TSP.2020.2988598
    [19]
    XIAO Yuhang, RAMÍREZ D, SCHREIER P J, et al. One-bit target detection in collocated MIMO radar and performance degradation analysis[J]. IEEE Transactions on Vehicular Technology, 2022, 71(9): 9363–9374. doi: 10.1109/TVT.2022.3178285
    [20]
    REN Jiaying, ZHANG Tianyi, LI Jian, et al. Sinusoidal parameter estimation from signed measurements via majorization-minimization based RELAX[J]. IEEE Transactions on Signal Processing, 2019, 67(8): 2173–2186. doi: 10.1109/TSP.2019.2899804
    [21]
    STOICA P, SHANG Xiaolei, and CHENG Yuanbo. The Cramér-Rao bound for signal parameter estimation from quantized data [Lecture Notes][J]. IEEE Signal Processing Magazine, 2022, 39(1): 118–125. doi: 10.1109/MSP.2021.3116532
    [22]
    FENG Lifang, HUANG Lei, LI Qiang, et al. An off-grid iterative reweighted approach to one-bit direction of arrival estimation[J]. IEEE Transactions on Vehicular Technology, 2023, 72(6): 8134–8139. doi: 10.1109/TVT.2023.3239003
    [23]
    BAR-SHALOM O and WEISS A J. DOA estimation using one-bit quantized measurements[J]. IEEE Transactions on Aerospace and Electronic Systems, 2002, 38(3): 868–884. doi: 10.1109/TAES.2002.1039405
    [24]
    HUANG Xiaodong and LIAO Bin. One-bit MUSIC[J]. IEEE Signal Processing Letters, 2019, 26(7): 961–965. doi: 10.1109/LSP.2019.2913452
    [25]
    CHEN Xinzhu, HUANG Lei, ZHOU Hanfei, et al. One-bit digital beamforming[J]. IEEE Transactions on Aerospace and Electronic Systems, 2023, 59(1): 555–567. doi: 10.1109/TAES.2022.3181257
    [26]
    FU Haoyu and CHI Yuejie. Quantized spectral compressed sensing: Cramer-Rao bounds and recovery algorithms[J]. IEEE Transactions on Signal Processing, 2018, 66(12): 3268–3279. doi: 10.1109/TSP.2018.2827326
    [27]
    ZAYYANI H, HADDADI F, and KORKI M. Double detector for sparse signal detection from one-bit compressed sensing measurements[J]. IEEE Signal Processing Letters, 2016, 23(11): 1637–1641. doi: 10.1109/LSP.2016.2613898
    [28]
    SHANG Xiaolei, LI Jian, and STOICA P. Weighted SPICE algorithms for range-Doppler imaging using one-bit automotive radar[J]. IEEE Journal of Selected Topics in Signal Processing, 2021, 15(4): 1041–1054. doi: 10.1109/JSTSP.2021.3071601
    [29]
    ZAHABI S J, NAGHSH M M, MODARRES-HASHEMI M, et al. One-bit compressive radar sensing in the presence of clutter[J]. IEEE Transactions on Aerospace and Electronic Systems, 2020, 56(1): 167–185. doi: 10.1109/TAES.2019.2916532
    [30]
    ZHANG Rong, LI Changheng, LI Jian, et al. Range estimation and range-Doppler imaging using signed measurements in LFMCW radar[J]. IEEE Transactions on Aerospace and Electronic Systems, 2019, 55(6): 3531–3550. doi: 10.1109/TAES.2019.2907395
    [31]
    JIN Benzhou, ZHU Jiang, WU Qihui, et al. One-bit LFMCW radar: Spectrum analysis and target detection[J]. IEEE Transactions on Aerospace and Electronic Systems, 2020, 56(4): 2732–2750. doi: 10.1109/TAES.2020.2978374
    [32]
    AMERI A, BOSE A, LI Jian, et al. One-bit radar processing with time-varying sampling thresholds[J]. IEEE Transactions on Signal Processing, 2019, 67(20): 5297–5308. doi: 10.1109/TSP.2019.2939086
    [33]
    XI Feng, XIANG Yijian, ZHANG Zhen, et al. Joint angle and Doppler frequency estimation for MIMO radar with one-bit sampling: A maximum likelihood-based method[J]. IEEE Transactions on Aerospace and Electronic Systems, 2020, 56(6): 4734–4748. doi: 10.1109/TAES.2020.3000841
    [34]
    CHENG Ziyang, HE Zishu, and LIAO Bin. Target detection performance of collocated MIMO radar with one-bit ADCs[J]. IEEE Signal Processing Letters, 2019, 26(12): 1832–1836. doi: 10.1109/LSP.2019.2951496
    [35]
    XI Feng, XIANG Yijian, CHEN Shengyao, et al. Gridless parameter estimation for one-bit MIMO radar with time-varying thresholds[J]. IEEE Transactions on Signal Processing, 2020, 68: 1048–1063. doi: 10.1109/TSP.2020.2970343
    [36]
    LIU Bingfan, CHEN Baixiao, and YANG Minglei. Parameter estimation and CRB analysis of 1-bit colocated MIMO radar[J]. IET Radar, Sonar & Navigation, 2021, 15(6): 592–604. doi: 10.1049/rsn2.12076
    [37]
    张国鑫, 易伟, 孔令讲. 基于1比特量化的大规模MIMO雷达系统直接定位算法[J]. 雷达学报, 2021, 10(6): 970–981. doi: 10.12000/JR21062

    ZHANG Guoxin, YI Wei, and KONG Lingjiang. Direct position determination for massive MIMO system with one-bit quantization[J]. Journal of Radars, 2021, 10(6): 970–981. doi: 10.12000/JR21062
    [38]
    王峥. 单比特压缩感知雷达成像关键技术的研究[D]. [博士论文], 中国科学技术大学, 2021.

    WANG Zheng. One-bit compressed sensing radar imaging research on key technologies[D]. [Ph.D. dissertation], University of Science and Technology of China, 2021.
    [39]
    赵博, 黄磊, 周汉飞, 等. 基于单频时变阈值的1-bit SAR成像方法研究[J]. 雷达学报, 2018, 7(4): 446–454. doi: 10.12000/JR18036

    ZHAO Bo, HUANG Lei, ZHOU Hanfei, et al. 1-bit SAR imaging method based on single-frequency time-varying threshold[J]. Journal of Radars, 2018, 7(4): 446–454. doi: 10.12000/JR18036
    [40]
    ZHAO Bo, HUANG Lei, and BAO Weimin. One-bit SAR imaging based on single-frequency thresholds[J]. IEEE Transactions on Geoscience and Remote Sensing, 2019, 57(9): 7017–7032. doi: 10.1109/TGRS.2019.2910284
    [41]
    ZHAO Bo, HUANG Lei, LI Jian, et al. Deceptive SAR jamming based on 1-bit sampling and time-varying thresholds[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2018, 11(3): 939–950. doi: 10.1109/JSTARS.2018.2793247
    [42]
    VAN VLECK J H and MIDDLETON D. The spectrum of clipped noise[J]. Proceedings of the IEEE, 1966, 54(1): 2–19. doi: 10.1109/PROC.1966.4567
    • Relative Articles
    • Supplements(0)
    • Cited By
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索
    Get Citation
    PDF
    XML
    Article views(762) PDF downloads(150) Cited by()
    Proportional views
    Related

    京ICP备20021838号-8   Supported by: Beijing Renhe Information Technology Co. Ltd     百度统计

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return