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基于非匹配滤波的SAR通信一体化技术

孙文 孙吉利 卢虹良

中国科学院大学学报2024,Vol.41Issue(3):387-397,11.
中国科学院大学学报2024,Vol.41Issue(3):387-397,11.DOI:10.7523/j.ucas.2022.085

基于非匹配滤波的SAR通信一体化技术

SAR-communication integration technology under the framework of unmatched filtering

孙文 1孙吉利 2卢虹良1

作者信息

  • 1. 齐鲁空天信息研究院,济南 250000
  • 2. 中国科学院空天信息创新研究院,北京 100194
  • 折叠

摘要

Abstract

Integrated waveform design is the key to the realization of radar communication integration technology.Orthogonal frequency division multiplexing(OFDM)signal is regarded as the most potentially integrated waveform signal.However,the OFDM integrated signal has the following problems in practical application:under the framework of matched filtering,the communication signals contained in the OFDM integrated signal lead to high sidelobes and pseudo peaks in the two-dimensional fuzzy function,which affects the performance of synthetic aperture radar(SAR)imaging.OFDM integrated signal has a high peak-to average power ratio(PAPR),which can not give full play to the linear amplification performance of the power amplifier,and then affect the detection range and communication performance.Aiming at the above problems,this paper applies the CP(cyclic prefix)-based unmatched filter imaging algorithm to integrated signal processing and proposes an integrated signal design method based on discrete fourier transform(DFT)precoding to eliminate the influence of communication signals on imaging performance.The PAPR of the signal is controlled within an acceptable range to achieve good compatibility between SAR imaging and communication performance.Finally,the effectiveness of the proposed method is proved by experiments.

关键词

雷达通信一体化/OFDM一体化信号/非匹配滤波的成像算法/距离旁瓣抑制/峰均功率比

Key words

joint radar and communication/OFDM-based integrated signal/imaging algorithms based on unmatched filtering/distance sidelobe suppression/peak-to-average power ratio

分类

信息技术与安全科学

引用本文复制引用

孙文,孙吉利,卢虹良..基于非匹配滤波的SAR通信一体化技术[J].中国科学院大学学报,2024,41(3):387-397,11.

基金项目

国家重点研发计划(2021YFC2803300)和山东省自然科学基金(ZR2022QF119)资助 (2021YFC2803300)

中国科学院大学学报

OA北大核心CSTPCD

2095-6134

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