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| Continuous Ant Colony Optimization Based Weighted Subspace Fitting Fast Algorithm for DOA Estimation with Few Snapshots |
| Jiao Ya-meng Huang Jian-guo Han Jing |
| College of Marine, Northwestern Polytechnical University, Xi’an 710072, China |
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Abstract Weighted Subspace Fitting (WSF) algorithm is a well-known excellent algorithm for DOA estimation with low SNR and few snapshots. However, this algorithm is totally impractical for its prohibitive computational burden incurred by multi-dimensional nonlinear search. In order to solve this problem, Ant Colony Optimization (ACO) is introduced to combine with the WSF algorithm and a new algorithm with lower computational burden called ACO-WSF is proposed. The proposed algorithm exploits Gaussian kernel probability density function in the sampling process. The global maximum of WSF spatial spectrum function can be reached after reasonable iterations. Simulation results illustrate that the proposed algorithm not only provides similar performance as WSF algorithm and better performance than MUSIC algorithm in the situation of low SNR and few snapshots, but also reduces computational complexity significantly.
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Received: 28 July 2010
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Corresponding Authors:
Jiao Ya-meng
E-mail: jiaoyameng@mail.nwpu.edu.cn
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2011, Vol. 33 
