Abstract
We present a source localization approach using resampling within a sparse representation framework. In particular, the amplitude and phase information of the sparse solution is considered holistically to estimate the direction-of-arrival (DOA), where a resampling technique is developed to determine which information will give a more precise estimation. The simulation results confirm the efficacy of our proposed method.
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Acknowledgments
This work was in part supported by the University of Hong Kong under Projects 10208648 and 10400399 at the University of Hong Kong, and by the National Natural Science Foundation of China under grant 60772146, the National High Technology Research and Development Program of China (863 Program) under grant 2008AA12Z306, the Key Project of Chinese Ministry of Education under grant 109139 and in part byOpen Research Fundation of Chongqing Key Laboratory of Signal and Information Processing (CQKLS&IP), Chongqing University of Posts and Telecommunications (CQUPT).
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Open Access This is an open access article distributed under the terms of the Creative Commons Attribution Noncommercial License (https://creativecommons.org/licenses/by-nc/2.0), which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and source are credited.
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Guo, X., Wan, Q., Chang, C. et al. Source localization using a sparse representation framework to achieve superresolution. Multidim Syst Sign Process 21, 391–402 (2010). https://doi.org/10.1007/s11045-010-0119-y
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DOI: https://doi.org/10.1007/s11045-010-0119-y