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机构地区:[1]国防科技大学电子科学与工程学院,长沙410073 [2]武汉通信指挥学院,武汉430010
出 处:《信号处理》2008年第1期95-99,共5页Journal of Signal Processing
摘 要:基于子空间分解的MC-CDMA盲信道估计算法运算量大,实用性差。本文根据在MC-CDMA中信号子空间维数远小于噪声子空间维数的特点提出从信号子空间的角度进行MC-CDMA盲信道估计,并采用PASTd算法对信号子空间及其维数进行动态跟踪。本文还通过对子空间跟踪的结果进行正交化处理的方法,显著提高了盲信道估计的性能。本文的盲信道估计方法运算量低,实用性强,仿真结果表明其盲信道估计性能接近特征值分解法。Blind channel estimation method of MC-CDMA based on subspaee decomposition has bad practicability because of the computation burden. A blind channel estimation method based on signal subspaee was presented in this paper according to the fact that the size of signal subspaee is much less than that of noise subspaee and a PASTd algorithm was adopted to track the signal subspaee. The method has excellent channel estimation performance through orthogonalize the result of PASTd subspaee tracking. The method in this paper has low complexity and strong practicality and the simulation shows that the performance of the blind channel estimation approaches that of eigenvalue decomposition based algorithm.
分 类 号:TN929.533[电子电信—通信与信息系统] TN914.53[电子电信—信息与通信工程]
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