论文

单比特量化交叉调制效应及其对雷达探测影响分析

  • 吴岳洲 ,
  • 刘仕奇 ,
  • 王星怡 ,
  • 李冰
展开
  • 1. 中国民用航空飞行学院计算机学院,广汉 618307
    2. 深圳大学电子与信息工程学院,深圳 518060
    3. 西南交通大学电气工程学院,成都 611756
    4. 东南大学毫米波国家重点实验室,南京 210096
吴岳洲,博士,研究方向为电磁频谱监测、雷达信号处理、计算机视觉等,电子信箱:wuyuezhou@cafuc.edu.cn

收稿日期: 2022-08-24

  修回日期: 2022-12-26

  网络出版日期: 2023-03-27

基金资助

四川省自然科学基金项目(2022NSFSC1801);毫米波国家重点实验室基金项目(K202235);中央高校基本科研业务费专项(ZJ2022-004);国家重点研发计划项目(2021YFF0603904);广东省基础与应用基础研究基金项目(2022A1515110125)

Analysis of the inter-modulation effect in 1-bit quantization and its influence on radar system

  • WU Yuezhou ,
  • LIU Shiqi ,
  • WANG Xingyi ,
  • LI Bing
Expand
  • 1. College of Computer Science, Civil Aviation Flight University of China, Guanghan 618307, China
    2. College of Electronic and Information Engineering, Shenzhen University, Shenzhen 518060, China
    3. School of Electrical Engineering, Southwest Jiaotong University, Chengdu 611756, China
    4. State Key Laboratory of Millimeter Waves, Southeast University, Nanjing 210096, China

Received date: 2022-08-24

  Revised date: 2022-12-26

  Online published: 2023-03-27

摘要

随着雷达技术的飞速发展与快速应用,以及对目标信息精细化需求的提升,雷达带宽和数据量也越来越大,在一定程度上限制了雷达设备的进一步应用。为解决这一问题,单比特技术因其降低数据量的优势,正越来越受到重视。但是,单比特量化的高度非线性过程会带来频率交叉调制,使信号成分极大地复杂化,这将给雷达探测带来新的挑战。针对这一问题,从底层机理上对单比特量化的非线性过程进行深入剖析,从理论上推导明晰了单比特量化过程中的量化噪声的理论模型,并进一步分析了这一非线性过程对雷达探测的影响。

本文引用格式

吴岳洲 , 刘仕奇 , 王星怡 , 李冰 . 单比特量化交叉调制效应及其对雷达探测影响分析[J]. 科技导报, 2023 , 41(5) : 99 -103 . DOI: 10.3981/j.issn.1000-7857.2023.05.010

Abstract

The rapid development and application of radar technology provide more and more convenient means for acquisition of target information and bring great convenience to the life of residents. At the same time, with the rise of the demand for target information refinement the bandwidth and data volume of radar are also increasing, which limits further application of radar equipment to a certain extent. To solve this problem, 1-bit quantization technology has received more and more attention because of its advantage of reducing the amount of data. However, the highly nonlinear process of 1-bit quantization brings about frequency inter-modulation and greatly complicates signal components, bringing new challenges to radar detection. This paper analyzes this problem and theoretically shows the model of quantization noise. Then, it analyzes how the non-linear effect affects the performance of target detection in the radar system. This gives a good theoretical reference for design of radar system based on 1-bit quantization.

参考文献

[1] 来嘉哲, 方广有, 刘帅 . 战场电磁环境构建中的抛物方程应用研究[J]. 雷达学报, 2012, 1(1): 63-68.
[2] 何子述, 程子扬, 李军, 等 . 集中式 MIMO雷达研究综述[J]. 雷达学报, 2022, 11(5): 805-829.
[3] Stimson G W. Introduction to airborne radar[M]. 2nd ed.Stevenage, Herts: SciTech Publishing, 1998.
[4] Sun S, Petropulu A P, Poor H V. MIMO radar for advanced driver-assistance systems and autonomous driving: Advantages and challenges[J]. IEEE Signal Processing Magazine, 2020, 37(4): 98-117.
[5] Moreira A, Prats-Iraola P, Younis M, et al. A tutorial on synthetic aperture radar[J]. IEEE Geoscience and Remote Sensing Magazine, 2013, 1(1): 6-43.
[6] 李冰, 刘仕奇, 谷鹏举, 等. 适于双站SAR的后向投影高分辨率成像算法[J]. 信息技术, 2019(2): 39-42.
[7] Kaina N, Lemoult F, Fink M, et al. Ultra small mode volume defect cavities in spatially ordered and disordered metamaterials[J]. Applied Physics Letters, 2013, 102(14):5057-5060.
[8] Sardellitti S, Barbarossa S. Joint optimization of collaborative sensing and radio resource allocation in small-cell networks[J]. IEEE Transactions on Signal Processing,2013, 61(18): 4506-4520.
[9] 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.
[10] Zhao B, Huang L, Bao W. One-Bit SAR imaging based on single-frequency thresholds[J]. IEEE Transactions on Geoscience and Remote Sensing, 2019, 57(9): 7017-7032.
[11] Zhao B, Huang L, Li J, 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.
[12] Li C, He Y, Wang X, 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.
[13] Han J, Li G, Zhang X P. Refocusing of moving targets based on low-bit quantized SAR Data via parametric quantized iterative hard thresholding[J]. IEEE Transactions on Aerospace and Electronic Systems, 2020, 56(3):2198-2211.
[14] Han J H, Li G, Wang K P, et al. 1-Bit radar imaging based on adversarial samples[J]. IEEE Transactions on Geoscience and Remote Sensing, 2022, 60: 1-13.
[15] Collins F A, Sicking C J. Properties of low precision ana log-to-digital converters[J]. IEEE Transactions on Aerospace and Electronic Systems, 1976, AES-12(5): 643-646.
文章导航

/