Principles of Digital Transmission: With Wireless Applications
Principles of Digital Transmission: With Wireless Applications
Space Time Coding for Broadband Wireless Communications
Space Time Coding for Broadband Wireless Communications
Probability Distributions Involving Gaussian Random Variables: A Handbook for Engineers, Scientists and Mathematicians
An efficient square-root algorithm for BLAST
ICASSP '00 Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 02
On the sphere-decoding algorithm I. Expected complexity
IEEE Transactions on Signal Processing - Part I
Iterative decoding for MIMO channels via modified sphere decoding
IEEE Transactions on Wireless Communications
Turbo processing for an OFDM-based MIMO system
IEEE Transactions on Wireless Communications
IEEE Journal on Selected Areas in Communications
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Lattice reduction (LR) techniques have been introduced to enhance the performance of linear equalizers by collecting diversity with low complexity for many transmission systems. Although LR-aided linear detectors may collect the same diversity as that collected by the maximum-likelihood (ML) detector, there still exists a performance gap between LR-aided and ML equalizers. One approach to fill this gap is to adopt soft-output detectors. Soft-output detectors enable iterative decoding when error-control codes are employed for a system. In this paper, we propose three LR-aided soft-output detectors with different methods to generate the candidate lists. We compare the performance and complexity of our algorithms with the existing alternatives and show that our methods achieve better performance with lower complexity. The performance-complexity tradeoffs of our proposed algorithms are also studied. Iterative decoders are performed based on these soft-output detectors in the simulations to validate the effectiveness of our algorithms.