基于卡尔曼滤波和AR参数的非平稳杂波仿真  

Kalman filter and AR parameter based non-stationary clutter simulation

作　　者：罗倩[1] 宋鸿梅[2] 

机构地区：[1]北京信息科技大学信息与通信工程学院,北京100192 [2]东北石油大学电子科学学院,黑龙江大庆163318

出　　处：《计算机工程与设计》2013年第3期1092-1096,共5页Computer Engineering and Design

基　　金：国家科技重大专项基金项目(2011ZX05039-004-02);北京市重点实验室开放研究课题基金项目(KF20101123207)

摘　　要：分析了天基雷达地面杂波的统计分布特性和功率谱特性,研究了基于零记忆非线性变换法仿真天基雷达地面杂波相关随机序列的方法。该方法用AR过程模型产生相关杂波,但是,在实现线性滤波器时仿真的相关杂波与实际非平稳杂波存在误差,仿真效率低。提出了基于卡尔曼滤波递归AR参数实现线性滤波器的方法,推导了仿真相关对数正态分布杂波的原理和方法,进行了杂波仿真实验和分析,仿真的杂波能够很好地符合幅度分布和功率谱特性要求,可以提高探测概率,验证了该方法仿真杂波的准确性和有效性。The analysis of spacebased radar clutter amplitude distribution and power spectrum characteristic is presented. The generation and simulation methods of random correlated clutter sequence based on zero memory nonlinear transform method are researched. In this method the AR process model can be used to generate correlated Gaussian random se quence. However, in realization of the linear filter, there exist errors between the simulated clutter and the actual nonsta tionary clutter, the simulation efficiency is low. An improved method based on Kalman filter recursive AR parameters is proposed to realize linear filter. The principles and methods of simulating correlated lognormal distribution clutter are derived. The simulation is processed and the simulation clutter can prove to be well in line with the amplitude distribution and power spectral characteristics. The detection probability is increased. The results prove the accuracy and effectiveness of the method.

关 键 词：雷达杂波仿真 卡尔曼滤波 相关杂波 对数正态分布 AR参数 

分 类 号：TN95[电子电信—信号与信息处理]