MPSK demodulation algorithm based on pattern recognition

This paper proposes a MPSK demodulation algorithm based on pattern recognition theory, which processes MPSK order recognition, error estimate and signals demodulation together. The algorithm does not require prior information about MPSK order and the initial phase, but recognizes these parameters from received signals by pattern clustering method, then demodulates signals by pattern classification. Computer simulation results in terms of Bit-Error-Rate (BER) on additive white Gaussian noise (AWGN) channel show that the algorithm is able to effectively recognize MPSK order and optimal cluster centers. For QPSK, the correct recognition rate achieves 100% when Signal Noise Ratio (SNR) is 2 dB and 1280 symbols are used for clustering. Moreover, employing this algorithm, signal phase jitter is automatic cancelled, and BER performance overmatches original coherent demodulation that decision center points are fixed.