论文部分内容阅读
提出了利用神经网络技术对战场侦察雷达目标回波的时域或频域信号进行处理,以实现对车辆目标进行分类识别的一种新算法。首先对目标的回波信号作时域或频域分析,从中提取信号的特征向量,然后利用所建立的神经网络模型对目标信号作训练识别,最后与经典谱分析的方法作比较,并采用实际数据验证这种识别算法是有效的。
A neural network technique is proposed to process the time-domain or frequency-domain signals of the target echo of the battlefield reconnaissance radar to realize a new algorithm for classifying and identifying the vehicle targets. Firstly, the target echo signal is analyzed in time domain or frequency domain, and the eigenvector of the signal is extracted. Then, the target signal is trained and identified by using the neural network model. Finally, the method is compared with the classical spectral analysis method, Data validation of this recognition algorithm is valid.