【作者】 张婉蒙；

【导师】 王俊；

【作者基本信息】 西安电子科技大学 ， 信号与信息处理， 2010， 硕士

【摘要】 基于外辐射源(广播、电视、手机等民用机会照射源)的双/多基地雷达本身不辐射电磁波,同时具有潜在的抗干扰性、抗反辐射导弹、抗低空防御和反隐身目标的能力,因而其发展前景良好。本文对基于调频广播外辐射源雷达信号处理中的自适应杂波相消技术进行了研究。首先介绍了调频广播信号,重点分析了频谱和模糊函数,接着论述了自适应滤波技术的发展、原理和结构,重点分析了自适应横向滤波器和格型滤波器。自适应横向滤波器主要分为最小均方(LMS)自适应横向滤波器和最小二乘(LS)横向滤波器。论文研究了LMS算法和两种改进的LMS算法,即归一化最小均方(NLMS)算法和误差非线性变步长最小均方(NVSS)算法,两种算法在一定程度上缓解了传统LMS算法本身的矛盾。递归最小二乘(RLS)算法是基于牛顿法的,它收敛速度快,但计算量较大。在此基础上引入了格型滤波算法,结合外辐射源雷达信号处理的要求,提出了采用自适应格型联合处理器进行杂波相消,它是在LS格型的基础上引入横向算法,进行联合过程处理。此算法拥有快速的收敛性和小的失调量,同时计算量小,且在同等条件下处理外场采集数据时比其它算法能更有效地检测到目标。更多还原

【Abstract】 Without radiating electromagnetic wave,Passive radar based on opportunity Transmitter (such as FM broadcast signal, mobile phone signal and other civilian signal) is not easy to be detected by electronic scouting systems. And it has potential superiority in ECCM(Electronic Counter-Countermeasure),AARM(Anti Anti-Radiation Missile),and anti-stealthy targets, thus a bright future. In this paper, clutter cancellation in passive radar signal processing with adaptive filtering technique is studied. The common adaptive algorithms include least mean square (LMS) algorithm, recursive least square (RLS), adaptive lattice algorithm and so on. Adaptive transversal filter can be mainly divided into LMS adaptive transversal filter and RLS adaptive transversal filter. Two improved LMS algorithms are analyzed involving normalized least mean square (NLMS) and variable step-size least mean square with errors nonlinearities (NVSS). These two algorithms are provided to enhance the trade-off between misadjustment and convergence rate. RLS is based on Newton algorithm, which has faster convergence and larger amount of calculation than LMS. In this condition, this paper develops an adaptive lattice joint processor to process passive radar signal. This algorithm has faster convergence and a smaller amount of calculation, and it is more effective than the other algorithms to detect the target when processing real-time data.更多还原