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Blind estimation of PN sequence of DS-CDMA signal in multipath

机译:多径中DS-CDMA信号PN序列的盲估计

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In order to solve the problem of blindly estimation of pseudo random (PN) sequence of DS-CDMA signal in multipath channel, On the basis of asynchronous DS-CDMA signal model, this paper proposed a new algorithm combined Independent component analysis(ICA) and data reuse blind equalization. In multipath channel, the estimation of ICA is the overlapped form of PN sequences of different paths, then data reuse blind equalization is introduced to eliminate the influence of the multipath, and the PN sequences of each user can be estimated from the result of blind equalization. This algorithm is no limit to the type of PN sequence, which is effective to m sequence, Gold sequence, M sequence and so on. The computer simulation shows that the algorithm performs well when the Signal to Noise Ratio(SNR) is even below 0dB.
机译:为了解决多径信道中盲目估计DS-CDMA信号伪随机序列的问题,在异步DS-CDMA信号模型的基础上,提出了一种结合独立分量分析和独立分量分析的新算法。数据重用盲目均衡。在多径信道中,ICA的估计是不同路径的PN序列的重叠形式,然后引入数据重用盲均衡以消除多径的影响,并且可以根据盲均衡的结果来估计每个用户的PN序列。 。该算法对PN序列的类型没有限制,对m序列,Gold序列,M序列等有效。计算机仿真表明,该算法在信噪比(SNR)甚至低于0dB时性能良好。

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