Abstract
Based on data matrix, a novel algorithm termed multiple bi-direction optimization (MBDO) is proposed to implement two-dimension (2-D) adaptive beamforming and interference sources localization. The main contribution of MBDO is to process the long weight vector. We decomposed the long weight vector into two short weight vectors. MBDO is used to compute the two short weight vectors by data matrix to finish beamforming. Moreover, the inverse of high dimension correlation matrix is replaced by low dimension data matrix. Theoretical analysis and simulations are provided to demonstrate the significant reduction in computational complexity and the improvement in performance compared with the well-known LCMV beamforming in most cases.
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Acknowledgment
This paper was supported by the National Natural Science Foundation of China (61373177, 61272461, 61170218), the Natural Science Foundation of Shaanxi Province (2013JM8008) and the Scientific Research Plan of Education Department of Shaanxi Province (11JK0903).
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Nie, W., Feng, D., Fang, D., Chen, X. (2015). 2-D Adaptive Beamforming with Multiple Bi-Direction Optimization Based on Data Matrix and Application in Interferences Localization. In: Sun, L., Ma, H., Fang, D., Niu, J., Wang, W. (eds) Advances in Wireless Sensor Networks. CWSN 2014. Communications in Computer and Information Science, vol 501. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-46981-1_22
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DOI: https://doi.org/10.1007/978-3-662-46981-1_22
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