Soft MIMO ML demodulation based on bitwise constellation partitioning
IEEE Communications Letters
Low-complexity decoding via reduced dimension maximum-likelihood search
IEEE Transactions on Signal Processing
Low complexity SIC-based MIMO detection with list generation in the LR domain
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Near-ML detection over a reduced dimension hypersphere
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
A novel multistage group detection technique and applications
IEEE Transactions on Wireless Communications
A low cost multi-standard near-optimal soft-output sphere decoder: algorithm and architecture
Proceedings of the Conference on Design, Automation and Test in Europe
Efficient Detection Algorithms for MIMO Communication Systems
Journal of Signal Processing Systems
Improved detection algorithm for MIMO wireless communication system based on chase detector
ICICA'12 Proceedings of the Third international conference on Information Computing and Applications
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We introduce a new family of detectors for multiple-input multiple-output (MIMO) channels. These detectors are called Chase detectors because they can be interpreted as a translation of the Chase error-control decoding algorithm from time to space. The Chase detector is parameterized by only four parameters; nevertheless, it reduces to a wide range of previously reported MIMO detectors as special cases, including the maximum-likelihood and decision-feedback detectors. The Chase detector defines a simple framework for not only comparing existing MIMO detection algorithms but also proposing new ones. For example, based on the Chase framework, we propose a new detector called B-Chase that performs well on fading channels. Specifically, on a four-input four-output Rayleigh-fading channel with uncoded 16-QAM inputs, one instance of the B-Chase detector falls only 0.4 dB short of the performance of the maximum-likelihood sphere detector while reducing complexity by 68%. Another instance of the B-Chase detector outperforms the BLAST-ordered decision-feedback detector by 4.4 dB while increasing complexity by only 17%.