基于证据组合的通信信号调制类型的分类识别

RECOGNITION OF COMMUNICATION SIGNALS BASED ON EVIDENCE COMBINATION

该文应用Dempster-Shafer理论,提出了一种有效的证据分配和组合证据最佳区间的方法,来实现通信信号调制类型的分类识别,在低信噪比的情况下,识别率得到较大提高,并且降低了分类器设计的复杂性。计算机模拟结果证实了此方法的有效性。

In this paper, several methods of evidence assignment and combination of optimum interval with Dempster-Shafer theory are proposed to identify communication signals. Under low SNR circumstance, the identifiability is highly promoted. Moreover, the design of classifier is simplified. The availabilities of these methods are verified by computer simulation.