A Signal Recognition Method Based on Evidence Theory

In modern complex communication environment, how to effectively identify signal modulation types has become a hot research topic. Based on information entropy and Dempster-Shafer evidence theory (D-S theory), a new signal modulation recognition algorithm is proposed. Through extracting the information entropy feature and normal test, a new acquisition method of basic probability assignment (BPA) is proposed, and then the D-S theory is used to identify the signals. Simulation results show that the proposed algorithm has a better recognition rate, which has great application value.