Title :
Lattice-Reduction-Aided Conditional Detection for MIMO Systems
Author :
Najafi, Hossein ; Damen, Mohamed Oussama
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Waterloo, Waterloo, ON, Canada
Abstract :
We introduce a low-complexity detector with near-optimal performance for transmission over multi-antenna systems. By using lattice basis reduction for generating almost orthogonal channel submatrices, we enhance the conditional optimization technique to implement a fast yet efficient detector. The lattice-reduction-aided (LRA) conditional method is presented as a general detection technique over fading channels to yield significant saving in computational complexity while achieving close to Maximum Likelihood (ML) error performance. By employing the orthogonality defect factor as a universal measure to select a near-orthogonal channel submatrix for conditional detection, we implement efficient detectors for MIMO systems. In particular, an almost optimal decoder with linear complexity for the Golden code is presented over quasi-static channels.
Keywords :
Gold codes; MIMO communication; fading channels; maximum likelihood detection; orthogonal codes; MIMO systems; computational complexity; fading channels; golden code; lattice basis reduction; lattice reduction aided conditional detection; linear complexity; low complexity detector; maximum likelihood error performance; multiantenna systems; optimal decoder; orthogonal channel submatrices; orthogonality defect factor; quasistatic channels; Complexity theory; Decoding; Detectors; Fading; Lattices; MIMO; Optimization; Conditional detection; Golden code; MIMO systems; golden code; lattice reduction; low-complexity detection; maximum likelihood detection; multiple-input multiple-output (MIMO) systems; space-time codes;
Journal_Title :
Communications, IEEE Transactions on
DOI :
10.1109/TCOMM.2014.2361337