无迹卡尔曼滤波在末敏弹信号处理中的应用

Application of UFK in Signal Processing of TSP

现代化战争日益多元化和复杂化,只有提高末敏弹信号处理能力,才能更好地对目标进行捕获、跟踪和识别。文中是用无迹卡尔曼滤波的方法对末敏弹红外信号进行处理,得到了无干扰下的较为真实的波形,为目标识别中信号特征量的选择以及复合探测器的数据融合工作提供可靠依据。文中通过仿真计算,并与卡尔曼滤波和小波去噪的方法处理后的结果进行对比,说明了无迹卡尔曼滤波方法精度高、实时性强、可自适应等优点。

Modern warfare is increasingly diversified and complicated,only to improve the ability on signal processing,terminal-sensitive projectile could better complete the mission of target acquisition,tracking and recognition. In this article,unscented Kalman filter method was used to deal with infrared signal of terminal-sensitive projectile,and more real waveform without interference was got to provide reliable basis for target identification in the choice of signal characteristics and data fusion of compound detector work. Through simulation calculation,and compared with the Kalman filter and wavelet denoising method,the processed results show UFK has high precision,strong realtime,and can be adaptive,etc.