Lattice-reduction-aided conditional detection for MIMO systems

H Najafi, MO Damen - IEEE transactions on communications, 2014 - ieeexplore.ieee.org
IEEE transactions on communications, 2014ieeexplore.ieee.org
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 …
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.
ieeexplore.ieee.org
Showing the best result for this search. See all results