A Modified Euclidean Norm Computation for Complexity Reduction in MIMO Decoder
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Computer Science Applications
Link
http://link.springer.com/content/pdf/10.1007/s11277-015-2838-8.pdf
Reference12 articles.
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2. Dai, X., Zou, R., Sun, S., & Wang, Y. (2013). Reducing the complexity of quasi-ML detectors for MIMO systems through simplified branch metric and accumulated branch metric based detection. IEEE Communications Letters, 17(5), 916–919.
3. Shen, C., Eltawil, A. M., Salama, K. N., & Mondal, S. (2012). A best-first soft/hard decision tree searching MIMO decoder for a 4×4 64-QAM system. IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 20(8), 1537–1541.
4. Roger, S., Gonzalez, A., Almenar, V., & Vidal, A. M. (2011). Practical aspects of preprocessing techniques for K-Best tree search MIMO detectors. International Journal of Computers and Electrical Engineering, 37(4), 451–460.
5. Chen, R. H., & Chung, W. H. (2012). Reduced complexity MIMO detection scheme using statistical search space reduction. IEEE Communications Letters, 16(3), 292–295.
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