Greedy Detection

AlRustamani, A.A.; Vojcic, B.R.; Stefanov, Andrej

doi:10.1007/0-306-47322-4_12

Cited by 1 publication

(3 citation statements)

References 49 publications

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“…Thus they provide a good tradeoff between complexity and performance. The greedy detector gives similar performance at low SNR but suffers from an error floor at high SNRs, especially for small candidate size L. This is also observed in [9]. Now let us look at a coded system with VBLAST architecture.…”

Section: B Simulation Resultsmentioning

confidence: 60%

“…The message updates are similar as in Eq. (8), (9) and (10). The difference is that d f and D should be changed as d i f and D i , which means d f and D are now specific to each factor node and may not be equal to each other.…”

Section: Reduced-complexity Bp Detectorsmentioning

confidence: 98%

“…To further improve the performance, researchers have proposed other approaches tradeoff performance and complexity [5]- [7]. Meanwhile, in the context of multi user detection and detection of space-time coded systems, a greedy algorithm has also been proposed [9] which can be extended to the BLAST system as well.…”

Section: B Existing Reduced Complexity Solutionsmentioning

confidence: 99%

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Graph-Based Detector for BLAST Architecture

Duman

2007

2007 IEEE International Conference on Communications

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We propose belief propagation (BP) based detection algorithms for the Bell labs layered space-time (BLAST) architectures. We first develop a full complexity BP algorithm, and show that the detector achieves a near optimal performance even when the number of receive antennas is smaller than the number of transmit antennas. We also consider three different extensions that provide a good complexity/performance tradeoff. Being soft-input-soft-output in nature, we also argue that the proposed detectors are suitable for use in turbo processing which can further enhance the system performance when there is an outer code. In addition to the simulation results, we also study the convergence behavior of the proposed detectors by exploiting the measure of average mutual information.

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Section: B Simulation Resultsmentioning

confidence: 60%

Section: Reduced-complexity Bp Detectorsmentioning

confidence: 98%