Abstract:

In this paper, a new effective method of cooperative modulation recognition (CMR) is proposed to recognize different modulation types of primary user for cognitive radio receivers. In the Cognitive Radio (CR) System, two CR users respectively send their feature parameters to the cooperative recognition center, which was composed of Back Propagation Neural Network (BPNN). With two users’ cooperation and the application of an error back propagation learning algorithm with momentum, the center greatly improves the performance of modulation recognition especially when one of the CR users’ SNR is low. To measure the performance of the proposed method, simulations are carried out to classify different types of modulated signals corrupted by AWGN. Simulation results show that this cooperation algorithm has a better recognition performance than the methods without cooperation.

Key words: