基于峰度的盲自适应多用户检测
Kurtosis-based adaptive multiuser detection
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摘要: 基于四阶累积量,分析一种新的优化准则,即定向最小峰度(OMK:Oriented Minimum Kur-tosis)准则。理论分析表明:该准则函数具有全局最小值且极值点满足解相关条件。由此,通过求解该优化问题,能得到一种新的盲多用户接收方案。然后,利用最速下降法,给出盲多用户检测的自适应算法。仿真结果进一步验证了本文的结论。Abstract: Based on fourth-order cumulants, a new optimizing criterion is discussed and proven to have the global minima, while the minima satisfy the decorrelating conditions. Thereby, a new scheme for the blind multiuser detection can be obtained by solving the optimization problem. Then, an adaptive algorithm for the blind multiuser detection is given using method of the steepest descent. The computer simulation further demonstrates the results.
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M. Honig, U. Mdahow, S. Verdu, Blind adaptive multiuser detection, IEEE Trans. on. IT, 1995.IT-41(4), 944-960.[2]X. Wang, H. V. Poor, Blind multiuser detection, a subspace approach, IEEE Trans. on. IT, 1998,IT-44(2), 677-690.[3]O. Shalvi, E. Weinstein, New criteria for blind deconvolution of nonminimum phase systems (channels), IEEE Trans. on IT, 1990, IT-36(2), 312-321.[4]张贤达,时间序列分析-高阶统计量方法,北京,清华大学出版社,1996,第2章. -
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