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中文摘要：
针对直接序列扩频码分多址（Direct Sequence Spread Spectrum Code Division Multiple Access,DS-CDMA）系统扩频波形非完全正交所造成的多址干扰（Multiple Access Interference,MAI）等问题,将卡尔曼（Kalman）算法应用于盲自适应算法中,提出了一种新的多用户检测算法。将该算法与LMS及RLS算法进行仿真对比后得出,该算法在抑制多用户干扰及动态跟踪能力方面更为强劲、有效且稳定性更高、收敛速度更快。
英文摘要：
With the purpose of solving the interference caused by the incompletely orthogonal spread spectrum waveform of direct sequence spread spectrum code division multiple access,a novel multi-user detection algorithm is proposed by applying Kalman algorithm to blind adaptive algorithm.By comparing the algorithm with the LMS and RLS algorithm,it is proved that the algorithm,with more dynamic tracking capability,better stability and faster convergence speed,can suppress multiple access interference more effectively.
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