Minimum probability of error for asynchronous Gaussian multiple-access channels
IEEE Transactions on Information Theory
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In this paper, An LMS adaptive channel estimator algorithm is proposed to improve the practical implementation of MMSE receiver based CDMA systems. The desired user's fading process is estimated to provide the receiver with a reference phase and amplitude to demodulate the desired user signal. Results show that the proposed adaptive coefficients estimator outperforms the fixed coefficients estimator. Furthermore, the estimator is found to be unbias and the estimation error can be modeled as a complex Gaussian random process.