Novel method for recognizing modulation of signal PRF automatically
Jing Xu · Infrared and Laser Engineering · 2010
It is a key technique to recognize the modulation of signal PRF (Pulse Repetition Frequency) automatically in information processing field. The present algorithm is hard to recognize enough modulated modal of signal PRF and get a high right rate in the complicated electromagnetic environment. In order to resolve this problem, a novel method was proposed in this paper for radar signal. The ratio, proportion, frequency and shape characteristic were extracted from received signal sequence and used as the recognition parameters, and each modulated modal of radar signal PRF was recognized automatically by RBPNN (Radial Basic Probability Neural Network). Simulation results show this method is effective and the lowest recognition rate is 90% when the pulse missing rate and pulse false alarm rate of radar signal is 10% respectively. Experiment also shows that this novel method can meet the current electromagnetism environment and is valuable for engineering.