Adaptive antenna algorithms and a multistage receiver architecture are presented for the Global System for Mobile communications (GSM) where the beamformer weights are successively modified using re-encoded data. Adaptive filtering of the training sequence is utilized to refine the beamformer weights and to compensate for different sampling phase offsets of the cochannel signals. A multichannel matched filter with a sliding data window is also examined for burst detection. The receiver consists of cascaded stages such that the received antenna data are processed iteratively to improve the reliability of the final bit decisions. The performance of the multistage receiver is evaluated via computer simulations using simulated and real GSM data collected by an array of eight antennas.
An adaptive beamforming algorithm for the Global System for Mobile communications (GSM) is presented where the weights are updated using re-encoded data and a semi-blind technique. The receiver consists of several stages operating on the synchronization channel (SCH) in an iterative manner to improve the reliability of the cochannel signal decisions. An extension of the constant modulus algorithm (CMA) with a least-squares (LS) formulation is used to implement the semi-blind technique. Iterative semi-blind processing is introduced to further refine the beamformer weights. The performance of the enhanced GSM receiver is evaluated using real and simulated data.
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