Aiming at the high complexity in blind separation of PCMA mixed signals with non-cooperative reception

the separation algorithm based on feedforward neural network is proposed.By setting up a neural network separation platform and avoiding the traditional idea of maximum a posteriori probability

the blind separation algorithm with low complexity and high performance can be realized.Simulation results show that the neural network can greatly exploit the intrinsic information of the signal

and 10

-3

orders of bit error rate performance is achieved with 7 dB of signal-to-noise ratio to QPSK modulated PCMA signals

accompanied by the declining complexity of the arithmetic square root level compared with the PSP algorithm.