异步WCDMA信号长周期置乱码估计与盲译码

Yv Han, Jingjing Guo, L. Shen, Jiajia Miao
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引用次数: 0

摘要

为了对异步WCDMA信号的长周期加扰码进行估计和解码,提出了独立分量分析(ICA)算法和锁相环(PLL)技术。首先,根据WCDMA的结构,将采样率转换后的信号建模为载波调制盲源分离矩阵。然后,利用所提出的ICA和PLL算法估计出长周期置乱码和信源信息。最后,仿真结果表明,该算法能够有效地识别异步多用户WCDMA信号的长周期置乱序列,比基于奇异值分解(SVD)的传统识别方法具有更好的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Asynchronous WCDMA Signal Long-Period Scrambling Code Estimation and Blind Decoding
In order to estimate and decode the long-period scrambling code of asynchronous WCDMA signal, this paper proposed an independent component analysis (ICA) algorithm and phase locked loop (PLL) technology. First, according to the structure of WCDMA, the signal after sample rate conversion was proposed to be modeled as a form of carrier-modulated blind source separation matrix. Then, the long-period scrambling code and source information will be estimated by the proposed ICA and PLL algorithm. Finally, the simulation results show that the proposed algorithm can effectively identify the long-period scrambling sequence of asynchronous multi-user WCDMA signals, and has better performance than the traditional identification method based on singular value decomposition(SVD).
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