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基于频率轴反转的机动目标距离徙动补偿方法

贺雄鹏 廖桂生 许京伟 魏嘉琪

电子学报2018,Vol.46Issue(6):1496-1502,7.
电子学报2018,Vol.46Issue(6):1496-1502,7.DOI:10.3969/j.issn.0372-2112.2018.06.032

基于频率轴反转的机动目标距离徙动补偿方法

Range Migration Compensation Method for Maneuvering Target Based on Frequency Axis Reversal

贺雄鹏 1廖桂生 1许京伟 1魏嘉琪1

作者信息

  • 1. 西安电子科技大学雷达信号处理国家重点实验室,陕西西安710071
  • 折叠

摘要

Abstract

The integration and detection performance for the maneuvering targets may slide down due to the defo-cusing effects of the range migration and the Doppler frequency migration in the long integration time. To address these is-sues,we propose a fast non-searching method based on frequency axis reversal and generalized autocorrelation function. In this algorithm,the frequency axis reversal transform is applied to correct the range migration in the range frequency do-main. Then the received signal becomes cubic phase signal and both generalized autocorrelation function and generalized scaled Fourier transform ( GSCFT) are applied to finish the signal reduction and the estimation of the moving target. Final-ly,estimated parameters are employed to dechirp the echo and the target is well focused in the range-Doppler domain. Compared with the existing methods such as Keystone,GRFT ( Generalized Radon Fourier Transform) ,RLVD ( Radon-Lv’s Distribution) and RFRFT (Radon Fractional Fourier Transform),the presented algorithm can fast eliminate the range migration and obtain the motion parameters without any searching procedure and can achieve a good balance be-tween the computational cost and the detection ability. Several simulation experiments are provided to demonstrate the ef-fectiveness of the proposed algorithm.

关键词

机动目标检测/运动参数估计/立方相位信号/频率轴反转变换

Key words

maneuvering target detection/motion parameters estimation/cubic phase signal/frequency axis reversal trans-form

分类

信息技术与安全科学

引用本文复制引用

贺雄鹏,廖桂生,许京伟,魏嘉琪..基于频率轴反转的机动目标距离徙动补偿方法[J].电子学报,2018,46(6):1496-1502,7.

基金项目

国家自然科学基金(No.61231017,No.61601339) (No.61231017,No.61601339)

中国博士后科学基金(No.2016M590925) (No.2016M590925)

电子学报

OA北大核心CSCDCSTPCD

0372-2112

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