谱估计算法在近炸引信中的应用

Application of Spectral Estimation in Proximity Fuse

近炸引信探测的目标信号存在固定噪声不易于目标的提取。为此,采用了几种常用的谱估计方法进行降噪处理,消除系统的固定噪声,提高近炸引信的信噪比和信杂比,增强近炸引信可靠探测目标的能力。并通过Matlab进行仿真分析,比较算法性能差异,最后得出结论:功率减谱法抑制固定噪声效果好,运算量小,系统简单,是消除固定噪声的理想方法。

Influenced by fixed noise, the target signal is difficult to obtain from the proximity fuse detection system. Several commonly-used spectral estimation methods are adopted to eliminate the fixed noise, improve signal-to-noise ratio and signal-to-clutter ratio, and enhance the ability to detect targets The differences between the spectral estimation methods and noise reduction effects can be compared through simulation analysis based on Matlab. The result shows that the power spectrum of spectral subtraction has preferable performance.