摘要
由于小波变换能够有效地对信号进行降噪处理,粗糙集作为一种新的数学工具,能够处理含糊和不确定性问题,因此,小波变换和粗糙集在智能信息处理中具有很大的发展潜力。本文针对机动目标实测RCS是起伏变化的,提出一种基于小波变换和粗糙集的RCS处理方法,其思想是先把雷达测量到的RCS采用小波进行分解,然后对分解后的小波系数利用粗糙集进行处理,最后采用小波逆变换得到RCS。通过对机动飞机的RCS实测数据进行处理,实验结果表明,该方法去噪能力强,能够得到比较精确的RCS,具有一定的实用价值。
Wavelet transform is an effective de - noising method and rough set theory is a new mathematical tool for dealing with problems of vagueness and uncertainty. Both of them have great potential application intelligent information processing. Since the measured RCS of maneuvering target changes all the time, we present a RCS processing method based on wavelet transform and rough set. First, the original RCS measused by radar is decomposed via wavelet transform. Then, the wavelet coefficients obtained after decomposition is processed via rough set. Finally, inverse wavelet transform is used for obtaining the whole RCS. The experimental results show that this method has better performance of noise resistance, can obtain high precise RCS and is ef- fective and valuable in practice.
出处
《电光与控制》
北大核心
2007年第1期1-4,共4页
Electronics Optics & Control
关键词
雷达反射截面积
小波变换
粗糙集
radar cross section （RCS）
wavelet transform
rough set
