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所属单位：航天学院
发表刊物：PROCEEDINGS OF THE 2017 2ND INTERNATIONAL CONFERENCE ON MACHINERY, ELECTRONICS AND CONTROL SIMULATION (MECS 2017)
关键字：arbitrary array acoustic vector-sensor compress PARAFAC model angle estimation
摘要：In this paper, in order to estimate the angles for arbitrarily spaced arrays with acoustic vector-sensor, we combine the compressed sensing theory with parallel factor (PARAFAC) model, and propose a neoteric angle estimation algorithm. The proposed algorithm firstly compressed the PARAFAC model, then exploit trilinear alternating least square (TALS) algorithm to estimate the parameter matrices and obtains the angle estimation. Owing to compression, the proposed algorithm has smaller storage requirement and lower computational complexity, compared with the conventional PARAFAC algorithm. It's also works well to achieve automatically paired azimuth and elevation angles. The angle estimation performance of the proposed algorithm is close to the conventional PARAFAC algorithm, and is better than the estimation of signal parameters via rotational invariance techniques (ESPRIT) algorithm. Various simulation results demonstrate the effectiveness of our algorithm.
ISSN号：2352-5401
是否译文：否
发表时间：2017-01-01
合写作者：许乐,孙友,Shi, Na
通讯作者：许乐,张小飞