Computationally efficient direction-of-arrival estimation of non-circular signal based on subspace rotation technique |
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Authors: | Wei WANG Ming ZHANG Bobin YAO Qinye YIN Pengcheng MU |
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Affiliation: | 1. Department of Information Engineering,Xijing University,Xi’an 710123,China;2. Ministry of Education Key Lab for Intelligent Networks and Network Security,Xi’an Jiaotong University,Xi’an 710049,China;3. Xi’an Microelectronics Technology Institute,Xi’an 710000,China;4. School of Electronic and Control Engineering,Chang’an University,Xi’an 710064,China |
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Abstract: | In order to solve the problem that the high computational burden of the multiple signal classification algorithm of non-circular signal (NC-MUSIC) in direction-of-arrival (DOA) estimation,a novel computationally efficient DOA estimation algorithm based on subspace rotation technique was proposed.Firstly,the partitioning of noise subspace matrix and the subspace rotation technique (SRT) were used to construct a new reduced-dimension noise subspace.Then,the two-dimensional peak searching was converted to the one-dimensional peak searching on the basis of the separation of variables and the orthogonality between the new reduced-dimension noise subspace and the space spanned by the columns of the extended manifold matrix.The proposed algorithm can enhance the computational efficiency by means of the conversion of the two-dimensional peak searching into the one-dimensional peak searching and the removal of redundant computations.Theoretical analysis and simulation results show that the proposed algorithm can reduce the computational complexity to less than 5% as compared to NC-MUSIC algorithm on the premise of ensuring the accuracy of DOA estimation.Especially,the efficiency advantage of the proposed algorithm is more obvious in scenarios where the large numbers of sensors are required. |
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Keywords: | array signal processing DOA estimation non-circular signal MUSIC algorithm low complexity |
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