An efficient regularization approach for underdetermined MIMO system decoding
IWCMC '07 Proceedings of the 2007 international conference on Wireless communications and mobile computing
Efficient sequence detection of multicarrier transmissions over doubly dispersive channels
EURASIP Journal on Applied Signal Processing
The error probability of the fixed-complexity sphere decoder
IEEE Transactions on Signal Processing
Implementation of a Markov chain Monte Carlo based multiuser/MIMO detector
IEEE Transactions on Circuits and Systems Part I: Regular Papers
Probabilistic spherical detection and VLSI implementation for multiple-antenna systems
IEEE Transactions on Circuits and Systems Part I: Regular Papers
Very fast detection for rate-2 quasi-orthogonal STBCs
IEEE Transactions on Wireless Communications
Asymptotic performance of linear receivers in MIMO fading channels
IEEE Transactions on Information Theory
Space-time codes from structured lattices
IEEE Transactions on Information Theory
Coding and decoding for the dynamic decode and forward relay protocol
IEEE Transactions on Information Theory
Efficient implementation of quasi-maximum-likelihood detection based on semidefinite relaxation
IEEE Transactions on Signal Processing
On further reduction of complexity in tree pruning based sphere search
IEEE Transactions on Communications
Low-complexity decoding via reduced dimension maximum-likelihood search
IEEE Transactions on Signal Processing
A reduced-complexity MIMO receiver via channel ordering
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Algebraic reduction for the golden code
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
An adaptive reduced complexity K-best decoding algorithm with early termination
CCNC'10 Proceedings of the 7th IEEE conference on Consumer communications and networking conference
Iterative sphere detectors based on the schnorr-euchner enumeration
IEEE Transactions on Wireless Communications
IEEE Transactions on Information Theory
Performance and complexity analysis of infinity-norm sphere-decoding
IEEE Transactions on Information Theory
A radius adaptive K-Best decoder with early termination: algorithm and VLSI architecture
IEEE Transactions on Circuits and Systems Part I: Regular Papers - Special section on 2009 IEEE custom integrated circuits conference
Solving Ellipsoid-Constrained Integer Least Squares Problems
SIAM Journal on Matrix Analysis and Applications
Cognitive radio with partial channel state information at the transmitter
IEEE Transactions on Wireless Communications
Efficient Ordering Schemes for High-Throughput MIMO Detectors
Journal of Signal Processing Systems
Low-complexity dominance-based sphere decoder for MIMO systems
Signal Processing
Hi-index | 755.15 |
We consider receiver design for coded transmission over linear Gaussian channels. We restrict ourselves to the class of lattice codes and formulate the joint detection and decoding problem as a closest lattice point search (CLPS). Here, a tree search framework for solving the CLPS is adopted. In our framework, the CLPS algorithm is decomposed into the preprocessing and tree search stages. The role of the preprocessing stage is to expose the tree structure in a form matched to the search stage. We argue that the forward and feedback (matrix) filters of the minimum mean-square error decision feedback equalizer (MMSE-DFE) are instrumental for solving the joint detection and decoding problem in a single search stage. It is further shown that MMSE-DFE filtering allows for solving underdetermined linear systems and using lattice reduction methods to diminish complexity, at the expense of a marginal performance loss. For the search stage, we present a generic method, based on the branch and bound (BB) algorithm, and show that it encompasses all existing sphere decoders as special cases. The proposed generic algorithm further allows for an interesting classification of tree search decoders, sheds more light on the structural properties of all known sphere decoders, and inspires the design of more efficient decoders. In particular, an efficient decoding algorithm that resembles the well-known Fano sequential decoder is identified. The excellent performance-complexity tradeoff achieved by the proposed MMSE-DFE Fano decoder is established via simulation results and analytical arguments in several multiple-input multiple-output (MIMO) and intersymbol interference (ISI) scenarios.