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扩频通信中波束形成自适应算法的实现

Implementation of Beam-forming Adaptive Algorithm in Smart Antenna Based on Spread Spectrum
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摘要 自适应算法是智能天线系统中的关键技术。最小均方(LMS)算法具有技术成熟方法简单的特点,它是基于最小均方误差(MMSE)准则,通过迭代的方式寻找最小均方误差,从而得到最佳权值。LMS算法的关键是参考信号的获得,在扩频通信体制中,利用PN码这一已知条件,对接收的信号进行解扩、重扩后可作为参考信号。 Adaptive algorithm is a key technology in the smart antenna. Least mean square algorithm has such characteristics as technical maturity and simplicity, and it is based on the Minimum Mean Squared Error criterion and gets the optimal weights through iterative loop to reach the least square error. The key factor in LMS algorithm is the acquisition of reference signal, and in the spread spectrum communication system, the received signal can be used as reference signal after despread spectrum and respread spectrum by using the known condition of PN CODE.
出处 《计算机与网络》 2010年第10期43-45,共3页 Computer & Network
关键词 LMS算法 MMSE准则 解扩重扩算法 LMS algorithm MMSE criterion Despread-respread algorithm
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  • 2Hidehiro Andoh. Mamorou Sawahashi, and Fumiyuki Adachi. Channel Estimation Filter Using Time-Multiplexed Pilot Channel for Coherent Rake Combining in DS-CDMA Mobile Radio[J]. IEICE Trans. Commun., 1998,VE81-B(7). 被引量:1
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