基于短时傅里叶变换的毫米波引信地面目标识别

摘要

针对毫米波引信对地面背景中目标时域检测时地杂波影响较大影响识别的问题，提出基于短时傅里叶变换（STFT）的毫米波（MMW）地面目标识别算法。该算法的实质是提取毫米波引信信号频谱中的有效多普勒频率特征信息，用短时傅里叶变换分析实测的引信多普勒信号。在MATLAB软件下用外场实测数据进行试验验证，验证结果表明了短时傅里叶变换方法对地面目标检测、识别的可行性，可以有效地判断出背景信号中有无目标。%Aiming at the issue of the millimeter wave （MMW） fuze target time domain dection of ground clutter with greater impact on the ground target recognition, a short time Fourier transform millime- ter-wave ground target recognition algorithm is proposed. The essence of the algorithin is that the effective fuze Doppler signal spectrum extracting from MMW frequency information is analysed with the short-time Fourier transform. Valiating with the measured field data by simulating under the MATLAB software, the results show the feasibility of MMW fuze detecting and identificating ground target with short-time Fourier transform.