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机构地区:[1]西安交通大学电子与信息工程学院
出 处:《西安电子科技大学学报》2006年第1期145-149,共5页Journal of Xidian University
基 金:国家自然科学基金资助项目(60102005)
摘 要:提出了一种新的快衰落信道非线性预测算法.该算法基于多径快衰落信道具有混沌行为,利用坐标延迟理论,重建快衰落信道系数的相空间,再根据混沌吸引子的稳定性和分形性,在相空间中进行预测,实现了快衰落信道的非线性预测.该算法对原始数据可进行更平滑的处理,在噪声环境下预测的时间范围更长.对时间跨度为63.829m s的衰落系数进行了预测,仿真结果表明,在信噪比为12 dB时,预测结果优于AR算法.A new algorithm for fast fading channel prediction is presented. This algorithms is based on the chaotic behavior of the mobile multipath fading channel. The phase space of these mobile muhipath fading channel coefficients is reconstructed by the theory of time delays. Based on the stability and the fractal of the chaotic attractor, the coefficients are predicted in their phase space. Simulation results show that the proposed algorithm is a better candidate for long range prediction of the fading channel in the noise context. The experiment is carried out by utilizing fading channel data which span 63. 829 milliseconds. Simulation results show that the better prediction performance is acquired than the AR algorithm when the signal to noise ratio is 12 dB.
分 类 号:TN914.5[电子电信—通信与信息系统]
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