用于自主导航的SAR/多普勒雷达一体化技术设计

doi:10.12382/bgxb.2021.0678

摘要/Abstract

摘要： 面向复杂电磁环境下不依赖卫星的自主导航作战需求，研究一种多普勒雷达和合成孔径雷达(SAR)成像一体化设计技术。利用多普勒雷达完成高精度测速，测速精度优于0.2%，能实时精确地修正惯性制导的速度累积误差，提升导航精度。采用SAR成像技术通过景象匹配修正惯性制导的位置累积误差，从而实现高精度的完全自主导航。针对一体化技术引入的刚体平台对SAR成像精度的影响，利用惯性制导的瞬时高精度特性，对该平台下SAR成像进行实时补偿，并给出仿真结果。研究结果表明：经补偿后SAR图像方位向分辨率由6.01 m提升至2.88 m，聚焦深度由1.3 dB提升至-30 dB，满足景象匹配修正要求；该一体化技术同时兼顾测速和SAR成像精度，方法有效，满足自主导航作战需求。

关键词: 自主导航, 合成孔径雷达, 多普勒雷达, 高精度测速

Abstract: To meet the requirement of satellite independent autonomous navigation in complex electromagnetic environments, a design that integrates Doppler Radar and Synthetic Aperture Radar (SAR) is proposed. Doppler Radar is used to complete high-precision velocity measurements, and the accuracy of the velocity measurements exceeds 0.2%. It can accurately correct the velocity cumulative error of inertial navigation in real time and improve navigation accuracy. SAR imaging technology is used to correct the position cumulative error of inertial navigation through scene matching, and thus to realize high-precision autonomous navigation. At the same time, to reduce the influence of the rigid platform introduced by the integration scheme on the accuracy of SAR imaging, the SAR imaging is compensated in real time by using instantaneous high-precision characteristics of inertial navigation, and the simulation results are given. The simulation results show that the azimuth resolution ratio and the focus depth of the SAR imaging after compensation have greatly improved. The azimuth resolution ratio has been increased from 6.01 m to 2.88 m, and focus depth increased from 1.3 dB to -30 dB, meet the scene matching correction requirements. The conclusion shows that the integrated scheme takes into account both velocity measurement and SAR imaging accuracy, meets the requirements of autonomous navigation operations, and has high effectiveness.

Key words: autonomousnavigation, syntheticapertureradar, dopplerradar, high-precisionvelocitymeasurement

中图分类号:

戴宗武，张少甫，刘乃强，胡月，王喆，段岑薇，孙宇哲. 用于自主导航的SAR/多普勒雷达一体化技术设计[J]. 兵工学报, 2022, 43(12): 3093-3102.

DAI Zongwu, ZHANG Shaofu, LIU Naiqiang, HU Yue, WANG Zhe, DUAN Cenwei, SUN Yuzhe. SAR/Doppler Radar Integration Design for Autonomous Navigation[J]. Acta Armamentarii, 2022, 43(12): 3093-3102.

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