空空导弹导引头小波降噪参数优选仿真研究

Simulation on the Seeker Signal Wavelets Denoising Based on Parameters Optimization

在对空空导弹导引头含噪信号实施小波阈值降噪时,以提高信噪比为规则,优选了降噪参数,并进行了离线降噪处理和实时降噪处理两种模式的仿真实验。在离线降噪模式下,通过对降噪参数的选择优化,从强噪声背景中得到了与实际的视线角速度高度一致的有用信号。在实时降噪模式下,考虑到算法的复杂性要求对降噪参数的限制,有针对性地选取了计算比较简单的降噪参数,降噪后提高信噪比仍能达到5 dB以上。研究表明,利用小波降噪技术能够克服传统导引头降噪技术的固有缺陷,可以为导引头滤波器的设计与实现提供支持。

The corrupted seeker signals are filtered by using the denoising technology of wavelets threshold, and the simulations are performed in off-line denoising pattern and real-time denoising pattern. Under the off-line denoising pattern, the useful signals, which coincides with the real generated angular velocity, can be obtained in the circumstances of heavy noise through optional optimization of the denoising parameters. Under the real-time denoising pattern, considering the eomlexity of the algorithm to constrain the denoising parameters, the simple denoising parameters are taken selectively. After denoising, the promotion of PSNR is more than 5dB. This study shows that this method can overcome the limitations of traditional seeker denoising technology and can provide the maintenance for the design of the seeker＇ s filters.