基于MIMO雷达的分布式真假弹头识别技术研究

发布时间：2018-04-04 16:22

本文选题：真假弹头识别　切入点：MIMO雷达　出处：《电子科技大学》2014年硕士论文

【摘要】：真假弹头的识别研究一直是雷达目标探测领域的热点。多输入多输出(Multiple Input Multiple Output,MIMO)雷达作为新型雷达系统,分为共置天线MIMO雷达和分置天线MIMO雷达。由于MIMO雷达具有广阔的观测区域和灵活的工作方式,因此在目标检测上有显著的优势。本文拟采用分置天线MIMO雷达对真假弹头的识别算法进行研究,建立分析真假弹头目标多维细微运动状态空间模型,提出分置天线MIMO雷达检测真假弹头的新型检测算法和分布式检测算法。本文的主要工作和贡献如下几个方面:本文首先归纳分析了弹道目标在飞行过程中各阶段的运动特征及差异。结合分析弹道目标运动的几种数学坐标系,对弹道目标在中段飞行的质心运动轨迹和典型微动运动进行分析,建立弹道目标运动分析的状态空间模型。分置天线MIMO雷达可以从空间不同角度独立探测目标,具有空间分集增益,有利于提升MIMO雷达对真假弹头检测识别的能力。本文简要介绍分置天线MIMO雷达的主要原理,建立弹道目标的回波信号模型,研究MIMO雷达观测弹道目标的分布式处理方案。为进一步研究真假弹头识别的分布式检测算法研究实现提供数学模型基础。本文建立了分布式MIMO雷达中的真假弹头目标状态空间模型,将真假弹头目标的特征差异体现在状态转移矩阵上,通过对状态转移矩阵的辨别,实现对真假弹头的识别。针对常规复合假设检验的传统方法需要估计状态转移矩阵、实时性不高的缺陷,本文采用一种新的局部最优检测算法来进行真假弹头的识别。仿真结果表明,提出的局部最优检测算法能够满足真假弹头识别实时性的要求,同时具有较好的检测性能。为提高MIMO雷达识别真假弹头的检测速度,并考虑到分置天线MIMO雷达的收发路径多且分布地域广的特点,为了减小接收天线之间的通信负荷和数据传输量,本文考虑采取基于分布式检测理论的检测算法对真假弹头进行检测。通过优化局部检测器设计提升各个子块的检测概率、选择最优的融合中心融合准则、选择合适的子块划分策略等优化手段对分布式检测进行性能优化和提升。
[Abstract]:The recognition of real and false warheads has been a hot spot in the field of radar target detection.As a new type of radar system, multiple Input Multiple output Mimo radar can be divided into co-antenna MIMO radar and split-antenna MIMO radar.Because MIMO radar has wide observation area and flexible working mode, it has obvious advantages in target detection.This paper presents a new detection algorithm and a distributed detection algorithm for real and false warhead detection by split antenna MIMO radar.The main work and contributions of this paper are as follows: firstly, the motion characteristics and differences of ballistic targets in each stage of flight are summarized and analyzed.In this paper, the trajectory of center of mass and typical fretting motion of ballistic target in the middle of the flight are analyzed, and the state space model of motion analysis of ballistic target is established by combining several kinds of mathematical coordinates to analyze the motion of ballistic target.The separated antenna MIMO radar can detect targets independently from different angles of space and has spatial diversity gain, which is helpful to enhance the ability of MIMO radar to detect and identify real and false warheads.In this paper, the principle of MIMO radar with split antenna is briefly introduced, the echo signal model of ballistic target is established, and the distributed processing scheme for observation of ballistic target by MIMO radar is studied.It provides a mathematical model foundation for further research on distributed detection algorithm for true and false warhead identification.In this paper, the state space model of true and false warhead targets in distributed MIMO radar is established. The characteristic difference of true and false warhead targets is reflected in the state transfer matrix. The recognition of true and false warhead is realized by discriminating the state transfer matrix.In order to overcome the defect that the traditional method of conventional composite hypothesis testing needs to estimate the state transition matrix and the real-time performance is not high, a new local optimal detection algorithm is used to identify the true and false warheads.The simulation results show that the proposed local optimal detection algorithm can meet the real-time requirements of true and false warhead recognition and has good detection performance.In this paper, the detection algorithm based on distributed detection theory is considered to detect true and false warhead.By optimizing the local detector design to improve the detection probability of each sub-block, select the optimal fusion center fusion criteria, select appropriate sub-block partition strategy to optimize and improve the performance of distributed detection.
【学位授予单位】：电子科技大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TJ760;TN957.51

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