MIMO雷达微弱目标长时积累技术综述

Summary of Long-time Integration Techniques for Weak Targets of MIMO Radar

  • 摘要: 复杂背景下雷达微弱目标检测一直以来是雷达信号处理领域的国际性难题,随着雷达新体制的发展,给信号处理提供了更多的空间维度,正交波形MIMO雷达的宽发窄收观测方式可有效延长目标驻留时间、实现时域、空域和频率的联合处理和高分辨估计,从而有利于积累目标能量和抑制杂波,提高强杂波背景中弱小目标检测能力。本文对近年来正交波形MIMO雷达长时间积累和目标检测技术的研究进展进行了归纳总结,介绍了正交波形MIMO雷达长时积累的概念和分类,并从机动目标回波特性认知、变换域相参积累、检测前跟踪、长时间相参积累、稀疏时频分析等方面给出了正交波形MIMO雷达机动目标积累的有效途径。最后,该文总结了现有研究存在的问题,对未来关注的技术发展进行了展望。

     

    Abstract: Radar weak target detection under complex background has always been a worldwide difficult problem in the field of radar signal processing. With the development of novel radar system, more spatial dimensions can be provided for signal processing. Orthogonal waveform multiple-input-multiple-output (MIMO) radar's wide-transmission and narrow-reception with ubiquitous observation can effectively extend the dwell time of the target. It can realize the joint signal processing in the time, space, and frequency domain, and high-resolution estimation, thereby helping to accumulate target’s energy and suppress clutter, which can improve the ability for weak and small targets detection in strong clutter background. In view of the advantages of orthogonal waveform MIMO radar, the recent research progress of long-time integration and target detection technology are summarized in this paper. The concept and classification of orthogonal waveform MIMO radar long-time integration are introduced. Effective solutions of maneuvering targets integration using orthogonal waveform MIMO radar are provided from the aspects of characteristics of maneuvering target, transform domain coherent integration, tracking-before-detection, long-time coherent integration, and sparse time-frequency analysis etc. Finally, the problems in the existing research are summarized, and the future development of technology is provided as well.

     

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