Abstract
A novel detection algorithm for V-BLAST system is proposed, based on the clonal selection theory and the idea of immune evolution. The complexity of the clonal selection detection algorithm for V-BLAST system (CA-VBLAST) is analyzed and the bit error ratio (BER) performance is verified via computer simulations. Simulation results show that the BER performance of CA-VBLAST detector with proper algorithm parameters is comparable with the maximum likelihood (ML) detector which presents the best BER performance but the highest computational complexity, and our CA-VBLAST detector obtains a much more decreased complexity.
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Mu, C., Zhu, M. (2006). Clonal Selection Detection Algorithm for the V-BLAST System. In: Jiao, L., Wang, L., Gao, X., Liu, J., Wu, F. (eds) Advances in Natural Computation. ICNC 2006. Lecture Notes in Computer Science, vol 4222. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11881223_49
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DOI: https://doi.org/10.1007/11881223_49
Publisher Name: Springer, Berlin, Heidelberg
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