基于小波和神经网络的二相码旁瓣抑制的研究

A Study on Binary-Coded Sidelobe Suppression Based on Wavelet and Neural Network

研究了脉冲压缩中二相编码信号的距离旁瓣抑制问题。在Kwan .H .K等所提的多层感知器方法(MLP)的基础上 ,提出了一种基于小波变换的神经网络方法 (WTNN)。对 13位巴克码的实验结果表明 ,在二相编码信号的旁瓣抑制问题中 ,WTNN方法在峰值信噪比和抗噪性能方面明显优于MLP方法。

Range sidelobe suppression for binary-coded radar signal is studied in this paper. Analyzing multi-layer perception network (MLP) for range sidelobe suppression, a new neural network based on wavelet transform (WINN) is presented. The WINN method for range sidelobe suppression is illustrated by application to 13-element Baker code, and the experiment results show that the ratio of mainlobe to sidelobe and antinoise performance of the WINN method obviously outperform those of the MLP method. The WINN method can be generalized easily to other pseudorandom binary sequences.