The Communication Signal Identification Method Based on Gray Correlation and Evidence Theory

In recent years, communication signal identification become a new issue in the field of communication reconnaissance, which is very important in the security of communication system and network, radio monitoring, cognitive radio, communication countermeasure and so on. So, in this paper, based on the evidence theory and gray correlation algorithm, a new recognition method of communication signal is provided. It derives from information fusion, firstly, the Basic Probability Assignment Function (BPAF) of evidence theory is built by gray correlation algorithm, and then a space-time fusion algorithm based on evidence theory is provided, which includes the time domain fusion of single sensor with mutli-measuring period and the space domain fusion of multi-sensor. Finally, a decision-making method based on the basic probability number is used for communication signal identification. Simulation experiment shows that this method is valid and feasible for recognizing communication signal.