Single-channel source separation and parameters estimation of multi-component BPSK/QPSK signal based on 3-D EVR spectrum and wavelet analysis

Abstract

This paper proposes an approach of single-channel source separation and parameter estimation of multi-component rectangular pulse-shaped BPSK/QPSK (binary/quadrature phase-shift keying) signal. By structuring multi-dimensional matrix from the observed signal, we may then apply 3-D EVR spectrum to determine the delay time and symbol period and therefore to estimate the basic waveform. A cost function is designed to estimate the carrier frequency and initial phase, and the periodic ambiguity problem is solved through wavelet analysis to get accurate symbol period. Finally, the component signal can be reconstructed with estimated parameters, and the separation stops adaptively by the SNR value which is estimated with the method of subspace-based decomposition. Simulation results confirmed the effectiveness of the proposed method.