A Multi-parameter Synthetic Signal Sorting Algorithm Based on Clustering
YU Zhi-fu, Ye Fei, Luo Jing-qing · 2007
Radar signal sorting is one of important techniques in electron reconnaissance signal processing and generally uses PRI, RF, DOA, PW, PA and pulse-inner characteristics and so on parameters. Traditional signal sorting is a serial regulation detection system and has some limitation. Especially for a great lot of complicated data, it will be useless. Clustering is an important technique of data mining. It can divide data objects into several classes or clusters based on the comparability of data objects. So a multi-parameter synthetic signal sorting algorithm based on clustering is proposed in order to overcome the limitation of traditional radar signal sorting algorithm. This algorithm makes use of the clustering technique of data mining and combines with DOA diluting algorithm and PRI sorting algorithm, so it can be applied to signal sorting of general radar and special radar. In the end of paper, the simulated experiments show that the synthetic algorithm is effective.