Proceedings ArticleDOI
Modified Schnorr-Euchner Sphere Decoding for Iterative Spatial Multiplexing MIMO Receiver
Ming Zhao,Zhenning Shi,Mark C. Reed +2 more
- pp 124-128
TLDR
In this article, a modified Schnorr-Euchner (SE) algorithm was proposed for iterative spatial multiplexing multiple-input-multiple-output (MIMO) receiver to estimate the maximum a posteriori (MAP) probability of the received symbol sequence.Abstract:
Recent work has shown that the Sphere Decoder (SD) based on Schnorr-Euchner (SE) strategy offers significant reductions in the computation complexity compared to all previously proposed sphere decoders with a near-maximum likelihood (ML) detection performance. This paper proposed a novel modified SE algorithm for iterative spatial multiplexing multiple-input-multiple-output (MIMO) receiver to estimate the maximum a posteriori (MAP) probability of the received symbol sequence. In addition, two schemes are proposed to further improve the performance and reduce the complexity over iterations, one is to improve the ZF-DFE estimate by using the quadratic approximation of a priori information, the other is to improve the tree search by employing starting point zig-zag technique. Simulation results show that significant performance gain and complexity reduction can be obtained compared to existing SE approach.read more
Citations
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Proceedings ArticleDOI
Turbo-equalization of LDPC coded MIMO inner/outer scheduling
TL;DR: It is shown that MIMO LDPC iterative reception can be designed and scheduled in a complexity and energy efficient manner without significant loss of performance.
Proceedings ArticleDOI
Study of stopping criteria in LDPC coded iterative MIMO OFDM receiver
TL;DR: It is shown that, at low signal to noise ratio, the use of reliability based stopping criteria reduces complexity and delay by an early reuse of MIMO equalization by minimizing the total number of iterations while preserving the same performance.
DissertationDOI
Iterative Receiver Techniques for Data-Driven Channel Estimation and Interference Mitigation in Wireless Communications
TL;DR: This work develops an iterative receiver with enhanced data-driven channel estimation from soft decoded data through frequency- domain combining and time-domain combining strategies in parallel with limited pilot signals, and analyzes the performance and complexity.
References
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Journal ArticleDOI
On maximum-likelihood detection and the search for the closest lattice point
TL;DR: A novel algorithm is developed that is inspired by the Pohst enumeration strategy and is shown to offer a significant reduction in complexity compared to the Viterbo-Boutros sphere decoder and is supported by intuitive arguments and simulation results in many relevant scenarios.