基于最佳基数目的目标分类研究

TARGET CLASSIFICATION BASED ON THE OPTIMAL BASE NUMBER

根据小波包理论及其算法提出了一种对直升机和坦克进行分类的新方法：对未知目标的某段信号用小波包算法处理后，以炳函数作为信息代价函数，根据墙的大小确定该信号的最佳基，然后统计最佳基数目，最后根据该数目是否落在预定门限内来判别目标是直升机还是坦克。应用此法对外场数据处理的结果表明，该方法能够较好地达到分类目的。

A new method is introduced for the classification of helicopters and tanks: the wavelet packet algorithm is applied to decompose the signal of an unknown target and the optimal base number(OBN) of the signal is obtained by using the entropy function as the information cost function combined with the wavelet packet theory. Whether the OBN is within the predetermined threshold will then classify whether the target is a helicopter or a tank. The method is proved to be very effective based on simulations.