FOLDING DEINTERLEAVING ALGORITHM FOR MULTIPLE MIXED PULSE TRAINS WITH PULSE REPETITION INTERVALS
In this paper, a new deinterleaving algorithm for separating pulse signals from a multiple superposed pulse train is presented. We also introduce the current research in radar signal recognition, and point out that the synchronization method used in computing pulse repetition interval has some disadvantages, such as the double periodphenomenon. It is shown, by a case study and analysis, that the new algorithm is much more efficient for high density pulse signal environment compared with that in synchronized method.
Signal recognition pulse repetition interval multiple pulse trains folding deinterleaving algorithm
GUANG-RI QUAN YU-SHAN SUN BIN CHEN
School of Software, Harbin Institute of Technology in Weihai
国际会议
2006 International Conference on Machine Learning and Cybernetics(IEEE第五届机器学习与控制论坛)
大连
英文
3334-3338
2006-08-13（万方平台首次上网日期，不代表论文的发表时间）