Sources localization through matrix completion via Nystrom completion

H. I. Ahmed, Q. Wan
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Abstract

In this paper, the completion of missing measurements in a squared distances matrix through Nystrom completion algorithm have been investigated. this missing occurred due to limitation of power when the sensors are deployed in a large area. The Nystrom algorithm has overcome the classical multidimensional scaling in a low and moderate signal to noise ratio, in addition it performed well as the number of missing entries increased. The plotted figures show admissible consequences for the proposed algorithm.
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通过Nystrom完成的矩阵完成源定位
本文研究了利用Nystrom补全算法补全距离平方矩阵中缺失测量值的问题。这种缺失是由于传感器在大面积部署时功率的限制造成的。Nystrom算法克服了传统的多维尺度问题,在低信噪比和中等信噪比的情况下,在缺失条目数增加的情况下也能保持良好的性能。绘制的图表显示了所提出算法的可接受后果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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