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Complex Korkine-Zolotareff Reduction Algorithm for Full-Diversity MIMO Detection

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2 Author(s)
Hua Jiang ; Sch. of Electron. Sci. & Eng., Nanjing Univ., Nanjing, China ; Sidan Du

The Korkine-Zolotareff (KZ) reduced basis is considered as the best reduced basis for use in data decoding in multiple-input multiple-output (MIMO) communication systems. In this paper, we present an improved KZ algorithm for direct application in reducing a complex lattice basis. The enumeration algorithm, which is the dominant contributor to the main cost of the KZ algorithm, is also modified for a complex lattice. We reduce the number of iterations in the KZ algorithm to reduce complexity without degrading performance. In addition, we show that KZ-reduction-aided decoding is capable of achieving full diversity. Simulation results demonstrate the excellent performance and low complexity of the improved algorithm.

Published in:

Communications Letters, IEEE  (Volume:17 ,  Issue: 2 )

Date of Publication:

February 2013

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