基频线谱提取技术在船舶水下目标识别系统的应用

Application of fundamental frequency line spectrum extraction technology in underwater target recognition system

基于目标物的辐射雷达回波信号是船舶水下识别系统的主流技术,水下噪声的混入会对识别产生干扰,时域分析很难区分噪声与目标信号特征。频域特性分布是区分雷达回波辐射噪声及干扰噪声的主要手段,通过对辐射信号及噪声的频谱提取,可以获取目标信号和干扰信号在基频频谱的特性,设计滤波器去除噪声。本文研究目标雷达回波信号及水下噪声信号的特性,在基础上提出基于基频线谱提取技术的噪声分离策略,最后对算法进行仿真。

The radar echo signal based on the target is the main technology of the underwater identification system, and the interference of underwater noise will interfere with the identification, time domain analysis is difficult to remove noise.The frequency characteristics of distribution is the main means to distinguish radar radiation noise and noise, through the spectrum of radiation signal and noise extraction, can get the target signal and the interference signal in the frequency spectrum and frequency spectrum, frequency domain filtering to remove noise. In this paper, the characteristics of the target radar echo signal and the underwater noise signal are studied, based on the above analysis, the noise separation strategy is proposed, finally, the algorithm is simulated.