基于粒子群算法的地面雷达杂波抑制方法研究

发布时间：2018-04-15 14:54

本文选题：雷达杂波 + 杂波抑制　；参考：《吉林大学》2017年硕士论文

【摘要】：随着现代科技的发展,雷达应用范围越来越广,扮演的角色也越来越重要。现代战争中,雷达不仅是获取战场信息的重要武器,而且能够控制火力单元精确打击目标。但是在复杂的电子环境中,雷达面临着来自自然界和人为的各种干扰。干扰的存在使得雷达检测目标的性能下降,甚至是丧失。因此如何抑制干扰,提升雷达检测目标能力,是目前和未来雷达都要面临的问题。本文主要研究的是地面雷达在搜索目标所遇到的杂波干扰及其抑制方法。雷达杂波是雷达接收到的非目标反射源反射或者散射形成的回波信号。雷达杂波的存在使雷达处于更恶劣的工作环境中,影响地面雷达对空搜索,强杂波甚至会淹没目标信号。只有有效抑制杂波才能提升雷达性能,提高雷达的战场生存能力。本文首先介绍了地面雷达中常见的杂波类型,分析杂波的特征,总结其形成原因和影响因素,推导了地面雷达中常见的雷达杂波的回波信号。通过对传统的雷达杂波抑制方法的分析,比较了各自的优劣。为了减小雷达检测中“盲速”带来的影响,依据参差滤波理论设计的滑动参差滤波器应用到了杂波抑制中。本文在此基础上提出了基于粒子群算法的滑动参差滤波器的参差码的优化设计,利用粒子群算法自身的优势,实现快速有效寻优,达到了提升“盲速”、有效抑制单、多杂波的影响,同时减小目标信号的最大程度损失。本研究能够应用到具体环境的参数调整,对工作具有一定的指导意义。
[Abstract]:With the development of modern science and technology, radar is more and more widely used and plays a more and more important role.In modern warfare, radar is not only an important weapon to obtain battlefield information, but also can control the firepower unit to strike targets accurately.But in the complex electronic environment, radar is confronted with all kinds of interference from nature and man-made.With the existence of jamming, the performance of radar detection targets is degraded or even lost.Therefore, how to suppress jamming and improve radar detection ability is a problem that radar will face at present and in the future.In this paper, the clutter jamming and suppression method of ground radar in searching target are studied.Radar clutter is an echo signal which is reflected or scattered by non-target reflectors received by radar.The existence of radar clutter makes the radar in a worse working environment, which affects the ground radar search to the air, and the strong clutter will even flood the target signal.Only by effectively suppressing clutter can the radar performance be improved and the battlefield survivability of radar be improved.In this paper, the common clutter types in ground radar are introduced, the characteristics of clutter are analyzed, the formation reasons and influencing factors are summarized, and the echo signals of radar clutter are deduced.By analyzing the traditional radar clutter suppression methods, the advantages and disadvantages of each method are compared.In order to reduce the influence of "blind velocity" in radar detection, the sliding staggered filter designed according to the theory of staggered filtering is applied to clutter suppression.In this paper, the optimal design of staggered codes of sliding staggered filters based on particle swarm optimization algorithm is proposed. By using the advantages of particle swarm optimization algorithm, the optimization of sliding staggered filters can be achieved quickly and effectively, and the blind speed can be improved and the single number can be suppressed effectively.The effect of multi-clutter and the maximum loss of target signal are reduced.This study can be applied to the adjustment of specific environment parameters, and has certain guiding significance to the work.
【学位授予单位】：吉林大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TN957.51

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