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机构地区:[1]军械工程学院,石家庄050003 [2]河北省科技大学理工学院,石家庄050031
出 处:《火力与指挥控制》2010年第12期156-158,162,共4页Fire Control & Command Control
摘 要:信号源数估计是智能天线技术的一个基本问题,经典的信号源数估计算法有:基于信息论"AIC"算法"MDL"算法、假设检验、平滑秩序列法以及盖氏圆算法等,这些算法在低信噪比、小采样、色噪声以及实际信源数近阵列阵元数时,会产生较大的误差。在Kullback准则基础上提出了一种基于虚拟阵列的改进算法,该算法通过对阵列接收的数据进行预处理,虚拟地增加阵元数,按照修正的规则,求取信源数。经仿真验证,该算法克服了经典算法在低信噪比、小采样、色噪声以及实际信源数接近阵列阵元数时,准确估计信源数的难题。The source number estimation is a basic problem in the smart antenna technology.Some classic estimation algorithm have been developed in past twenty years for example 'AIC','MDL',hypothesis test,Gerschgorin Radii,etc.But the estimation error will occur in the circumstances of low S/N,small sample and the signal number accessing the number of the antenna array element with these algorithms.This paper develops a novel method based on Kullback criteria,it subjunctively increases the element numbers of the antenna array by processing the data received with the antenna array in advance,then gets the source numbers by modified criteria.The simulation result confirms that it resolved the difficult problem that the error of signal source numbers estimated is great in the circumstances of low ratio of the signal and the noise,small sample and the fact signal numbers accessing the numbers of the antenna array elements.
关 键 词:虚拟阵列 信号源数估计 盖氏圆准则 Kullback准则
分 类 号:TN929.53[电子电信—通信与信息系统]
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