【摘要】 利用传统子空间法估计方向向量要求阵元数必须大于信号源数,要求在无线通信系统中是不现实的,因为移动用户数是很大的,为突破这一限制,本文提出了一种基于子空间法的阵列天线方向向量自适应盲估计算法.通过各阵元接收信号相加,得到叠加的期望数据源特征波形;通过子空间方法,将叠加信号用信号子空间的基表示,由于叠加信号中包含方向向量,从而得到期望数据源的方向向量估计,该算法不要求阵元数大于数据源数.仿真结果表明算法是有效的.更多还原

【Abstract】 It was previously shown that the number of array elements must exceed the number of sources for subspace-based steering vector estimation.This is clearly not practical for a wireless system since the number of mobile users is very large.To overcome the restriction,a blind adaptive technique based on subspace method to estimate steering vector of an antenna array is proposed.By summing the received signals of each element,the superposition of the signature waveforms of expected source is obtained.This superposition is also expressed by a group of bases of the signal subspace by subspace method.Since the superposition involves the steering vectors,the expected steering vector can be estimated without requiring the number of antenna elements being greater than that of data sources.Simulations demonstrate the effectiveness of the proposed algorithm.更多还原