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多径信道下阵元约束布位的信号盲提取算法
Blind extraction algorithm for communication signal with constraint distribution of antenna elements in multipath transmission channel
【摘要】 为实现频率选择性衰落信道下未知信道信息时的盲信源提取,建立一个等价的卷积混叠信号模型,利用观测数据的“过去”、“现在”样本空间,在时域中推导出一种基于四阶累计量的盲信号提取算法,避免了频域的“排序”问题.通过接收阵元的约束性布位,简化了运算,计算机仿真实验验证了算法的有效性,并表明其具备一定的噪声抑制能力.
【Abstract】 An equivalent convolution mixture signal model is built to realize the blind source extraction without channel state information in frequent selective channel.It uses the "past" and "present" sample space of observed data to derive the blind signal extraction method based on fourth order statistic which avoids the permutation problem.Computation complexity is reduced by the constraint distribution of receiving elements.Simulation results prove the effectiveness and noise interference ability of the algorithm.
【关键词】 多径信道;
盲信源提取;
卷积混叠;
四阶累计量;
奇异值分解;
【Key words】 multipath channel; blind source extraction; convolutive mixture; fourth order statistic; singular value decomposition;
【Key words】 multipath channel; blind source extraction; convolutive mixture; fourth order statistic; singular value decomposition;
【基金】 国家自然科学基金资助项目(60572039)
- 【文献出处】 哈尔滨工业大学学报 ,Journal of Harbin Institute of Technology , 编辑部邮箱 ,2007年05期
- 【分类号】TN911.7
- 【下载频次】93