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本文分析了一种采用移动天线阵对多路信号环境中的相干信号进行空间谱估计的方法,并从其产生的去相关、相关矩阵特征值的变化以及对频谱估算值的改善等三方面讨论了天线阵移动条件下,空间相关估计的效果.文章分别讨论了到达信号角是固定和变化的两种情况.前一种信号来自远距离信号源.如果模拟非相关信号,且有足够长的估算间隔长度,就能得到非常尖锐的频谱.后者信号来自于近距离信号源.虽能够区分这些信号,但伴随有频移、频带展宽和分辨率下降等不利因素.分析和讨论结果表明,采用此方法可以得出十分有意义的到达信号角的估算值.具体采用的是子阵元非等间隔排列的线性天线阵和众所周知的高分辨率频谱估算法:最大似然法(ML),线性预测法(LP)和多路信号分类法(MUSIC).
This paper analyzes a method for spatial spectrum estimation of coherent signals in a multi-channel environment using a mobile antenna array and discusses the three aspects of the decorrelation, the change of the eigenvalues of the correlation matrix and the improvement of the estimated spectrum values The effect of spatial correlation estimation under the condition of the antenna array movement is discussed. The two cases of fixed arrival and change of arrival signal angle are separately discussed. The former one is from a long-distance signal source. If the non-correlation signal is simulated and has a sufficiently long Estimating the length of the interval gives a very sharp spectrum, which is derived from a near-distance signal source, although it is possible to distinguish between these signals, but with unfavorable factors such as frequency shift, band broadening and resolution reduction.Analysis and discussion show that, Using this method, we can get a very significant estimate of the arrival angle of the signal, using linear array of antennas arrayed at regular intervals and well-known high-resolution spectral estimation methods: Maximum Likelihood (ML) Linear Prediction (LP) and Multiple Signal Classification (MUSIC).