Subspace-based blind channel identification of SISO-FIR systems with improper random inputs
Signal Processing - Signal processing in communications
Adaptive equalization of time-varying MIMO channels
Signal Processing - Content-based image and video retrieval
EURASIP Journal on Applied Signal Processing
EURASIP Journal on Advances in Signal Processing
EURASIP Journal on Advances in Signal Processing
Universal linear precoding for NBI-proof widely linear equalization in MC systems
EURASIP Journal on Wireless Communications and Networking - Multicarrier Systems
Performance limits of alphabet diversities for FIR SISO channel identification
IEEE Transactions on Signal Processing
Semiblind bussgang equalization for sparse channels
IEEE Transactions on Signal Processing
Fourth-Order cumulants and neural network approach for robust blind channel equalization
ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part I
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This paper focuses on the study of blind equalization global system for mobile communications (GSM) systems using a single antenna. In order to utilize the well-known linear system model in conventional studies of blind equalization, an equivalent baseband quadrature amplitude modulation (QAM) approximation is used for the nonlinear GMSK signal in GSM systems. Since the GMSK signal in GSM has very little excess bandwidth to warrant oversampling, a derotation scheme is developed to create two subchannels for each received GMSK signal sampled at the baud rate. Linear approximation of the GMSK signal makes the traditional QAM blind equalization system model applicable for GSM. Derotation induces channel diversity without an additional antenna and reduces the number of necessary radio frequency (RF) receivers (sensors) without increasing hardware or computational costs. Several second-order statistical and higher order statistical methods of blind equalization are adopted for GSM signals