Application of character extraction to signal sorting of multi-source mixed signals
Weichao Shen, Huang Yujia, Lei Song, Hong Chen · High Power Laser and Particle Beams · 2014
In complex electromagnetic environment, a lot of signals are missing and many parameters of signals have severe superposition. The orderliness of signals are destroyed, making the existing sorting methods unsatisfactory and even disabled completely. This paper studies the important signal parameters(PW，RF and TOA) and introduces the five-step sorting methods. It is important that using the character extraction methods, the character vectors can be mined and the corresponding models of mathematics can be made. Finally, we can achieve all the kinds of signal sorting. The results of simulations show that the five-step sorting method can be used to sort the mixed signals with losing data and severe superposition.