Lattice Reduction Aided Multiple Access Interference Cancellation Algorithm of Spread Spectrum Communication
BAO Yachuan YU Baoguo
(The 54th Research Institute of CETC, Shijiazhuang 050081, China)
(State Key Laboratory of Satellite Navigation System and Equipment Technology, Shijiazhuang 050081, China)
In the application of spread spectrum communication with limited wireless resource, Multiple Access Interference (MAI) is the main restraint element of the multiple user service capability and communication performance. Focusing on the MAI problem, lattice reduction theory is firstly applied to the MAI cancellation of spread spectrum communication. A lattice reduction aided multiple user detection method is proposed. With lattice reduction method, the orthogonality of the correlation matrix of multiple signals is improved. As a result, the error bit rate of Multiple User Detection (MUD) method is reduced, and near ML demodulation performance is reached with low complexity. High performance on near-far effect resistance is achieved with the algorithm. Contrary to the performance degradation of traditional MUD method in serious MAI scenario, lattice reduction aided multiple user detection method can maintain near ML performance. Transmission reliability, multiuser service capability and environment suitability of spread spectrum system can be improved remarkably with the algorithm.
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