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基于频谱校正的中国余数定理多普勒频率估计算法

曹成虎 赵永波 索之玲 庞晓娇 徐保庆

曹成虎, 赵永波, 索之玲, 庞晓娇, 徐保庆. 基于频谱校正的中国余数定理多普勒频率估计算法[J]. 电子与信息学报, 2019, 41(12): 2903-2910. doi: 10.11999/JEIT181102
引用本文: 曹成虎, 赵永波, 索之玲, 庞晓娇, 徐保庆. 基于频谱校正的中国余数定理多普勒频率估计算法[J]. 电子与信息学报, 2019, 41(12): 2903-2910. doi: 10.11999/JEIT181102
Jian Ping, Zou Peng, Xiong Wei. Heuristic Algorithm for Dynamic Task Planning of Early Warning System of Low Earth Orbit[J]. Journal of Electronics & Information Technology, 2013, 35(10): 2438-2444. doi: 10.3724/SP.J.1146.2013.00072
Citation: Chenghu CAO, Yongbo ZHAO, Zhiling SUO, Xiaojiao PANG, Baoqing XU. Doppler Frequency Estimation Method Based on Chinese Remainder Theorem with Spectrum Correction[J]. Journal of Electronics & Information Technology, 2019, 41(12): 2903-2910. doi: 10.11999/JEIT181102

基于频谱校正的中国余数定理多普勒频率估计算法

doi: 10.11999/JEIT181102
基金项目: 高等学校学科创新引智计划(B18039)
详细信息
    作者简介:

    曹成虎:男,1987年生,博士生,研究方向为雷达信号处理和雷达信号检测与跟踪

    赵永波:男,1972年生,教授,博士生导师,研究方向为雷达信号处理、自适应信号处理和雷达信号参数估计

    索之玲:女,1981年生,博士生,研究方向为弱目标检测技术

    庞晓娇:女,1993年生,博士生,研究方向为压缩感知和阵列信号处理

    徐保庆:男,1992年生,博士生,研究方向为雷达信号处理和MIMO雷达

    通讯作者:

    赵永波 ybzhao@xidian.edu.cn

  • 中图分类号: TN958

Doppler Frequency Estimation Method Based on Chinese Remainder Theorem with Spectrum Correction

Funds: The Fund for Foreign Scholars in University Research and Teaching Programs(B18039)
  • 摘要: 脉冲多普勒(PD)雷达能够检测目标多普勒频率和有效抑制杂波,该优势使得PD雷达得到了广泛应用。但速度模糊的存在,往往对PD目标检测带来困难。该文紧密结合PD雷达体制的特点,在基于PD雷达参差重频模式下,提出一种基于全相位离散傅里叶变换(DFT)相位差频谱校正的最优余数封闭式鲁棒中国余数定理(CFRCRT)的多普勒频率估计算法。理论分析和仿真实验表明该文算法在测量精度和实时性能上可以满足工程上应用的需求。
  • 图  1  传统DFT幅频响应和相频响应

    图  2  全相位DFT幅频响应和相频响应

    图  3  多普勒频率估计流程图

    图  4  中国余数定理算法测量频率的精度

    图  5  中国余数定理算法的时间复杂度

    图  6  基于频谱校正的封闭式鲁棒CRT测量精度

    图  7  基于频谱校正的封闭式鲁棒CRT计算复杂度

    表  1  基于谱校正的中国余数定理的方案测量结果(Hz)

    Fˆfr1余数理论值ˆfr2余数理论值ˆfr3余数理论值ΔF
    5.5122×103512.605125512.6555125512.9055121.57×101
    512.585512.575512.581.66×101
    515.045516.015516.973.41×100
    3.1157×1051569.2715703569.6935705569.8055702.03×102
    1568.723568.705568.954.99×102
    1574.253566.425574.398.42×101
    下载: 导出CSV
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出版历程
  • 收稿日期:  2018-11-28
  • 修回日期:  2019-04-12
  • 网络出版日期:  2019-05-22
  • 刊出日期:  2019-12-01

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