Adaptive signal processing algorithms: stability and performance
Adaptive signal processing algorithms: stability and performance
ICASSP '96 Proceedings of the Acoustics, Speech, and Signal Processing, 1996. on Conference Proceedings., 1996 IEEE International Conference - Volume 03
Globally convergent blind source separation based on a multiuser kurtosis maximization criterion
IEEE Transactions on Signal Processing
Performance analysis of the linearly constrained constant modulus algorithm-based multiuser detector
IEEE Transactions on Signal Processing
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The differential constant modulus (DCMA) multi-user detection can obtain higher steady-state decorrelating performance than the conventional linear algorithm under high SNR condition similar as the constant modulus algorithm (CMA). Unlike CMA criterion, DCMA has single global minimum which leads to the convergence independent from the amplitudes of received signal. However, the closed-form analysis for its steady-state performance in additional Gaussian-white-noise (AWGN) channel is scarce due to the complication of analyzing the nonlinear updates in their adaptive implementation. Here, an analysis approach based on ordinary differential equation (ODE) is proposed to derive the closed-form excess mean-square error (EMSE) expression of the multiuser detections. The simulation and the comparison verify the results of the analysis.