关于数字脉冲压缩信号的双向加窗识别仿真

Simulation of Bidirectional Window Recognition for Digital Pulse Compression Signals

数字脉冲压缩信号对于现代雷达目标检测至关重要,现有的数字脉冲压缩信号处理大多基于功能层的分析模型,并且处理过程中伴随着严重的旁瓣缺陷,导致模型的细粒度与检测的准确性欠佳。为此,在目标信号混合噪声的基础上,建立了信号包络模型,并提出了基于双向加窗的数字脉冲压缩信号识别方法,将发射信号与滤波器因数依次采取加窗操作,有效去除旁瓣特性,同时针对滤波器做相应的谱修正,从而保证系统脉压能力。通过Matlab对混合了噪声的目标脉冲压缩信号进行仿真分析,根据采样点、旁瓣抑制,以及虚警输出的比较,验证了提出的关于数字脉冲压缩信号双向加窗识别方法具有显著的性能优势,有效抑制了现有方法的旁瓣特性,提高了目标信号识别的准确性。

Digital pulse compression signal is very important for modern radar target detection.Most of the existing digital pulse compression signal processing is based on functional layer analysis model.In addition,serious side lobe defects accompany the processing.As a result,the fine-grained model and the accuracy of detection are not good.Therefore,on the basis of mixed noise of target signal,a signal envelope model was established,and a recognition method of digital pulse compression signal based on bidirectional windowing was proposed.The transmission signal and filter factor were windowed in turn to remove sidelobe characteristics effectively.At the same time,the corresponding spectral correction was made for the filter to ensure the system’s pulse compression ability.The target pulse compression signal with mixed noise was simulated and analyzed through MATLAB.According to the comparison of sampling points,sidelobe suppression and false alarm output,it is verified that the proposed two-way windowed recognition method for digital pulse compression signals has significant performance advantages.The sidelobe characteristics of existing methods are effectively suppressed and the accuracy of target signal recognition is improved.