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本文在W.Wax和T.Kailath提出的估计非相干源数目的信息论判阶法基础上,提出了一种改进算法:空间平滑——信息论判阶法。与WK′s方法相比,这种改进的算法可以估计相干源的数目,而且能提高信号源强相关、小分离角及低信噪比情况时估计源数目的准确程度。为了进一步提高估计精度,我们还提出了乘幂的空间平滑——信息论判阶法。计算机仿真结果验证了改进算法的有效性。
In this paper, based on the W.Wax and T. Kailath’s method of estimating the number of non-coherent sources, an improved algorithm is proposed: Spatial smoothness-information method. Compared with WK’s method, this improved algorithm can estimate the number of coherent sources, and can improve the accuracy of estimating the number of sources in the case of strong signal correlation, small separation angle and low signal-to-noise ratio. In order to further improve the estimation accuracy, we also proposed the spatial smoothing of power-information method. Computer simulation results verify the effectiveness of the improved algorithm.