基于小波变换与粗糙集的雷达目标识别方法

Method of Radar Target Identification Using WT and RS

雷达目标识别是防空武器系统雷达信息处理的一个关键环节。在小波变换与粗糙集基础上提出一种雷达目标识别方法。小波变换能够提高了时———频分频率;粗糙集理论是一种新型的处理不确定性知识的数学工具。利用小波变换对目标原始信息进行分解,得到目标的能量特征向量;通过粗糙集简化关系表,删去冗余信息,用逻辑推理算法表示判别规则。应用小波变换与粗糙集能够满足利用不精确信息进行目标识别的需要。

Radar target identification is an important link in the chain of information processing for air - defense. This paper presents a method of radar target identification using wavelet transforms and rough sets. The wavelet transforms has strong frequency resolving power. Rough set theory is a newly developed mathematical tool for dealing with uncertain knowledge. The wavelet transforms is used to extract effective features from the echo. The rough set is used to delete redundant attributes. And the deducing rules are obtained. The application of wavelet transforms and RS theory in information processing meets the need of original information processing in target identification.