Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005.
DOI: 10.1109/icassp.2005.1415850
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A Near-Optimal Multiuser Detector for MC-CDMA systems Using Geometrical Approach

Abstract: An efficient sub-optimal algorithm, called HIS (Hyperplane Intersection and Selection) detection algorithm, is proposed to solve the problem of joint detection of K users in a MC-CDMA system. Compared to the existing solutions, the proposed algorithm has three characteristics very attractive for pratical systems. Firstly, it has nearly optimal performance. Secondly, it has a low computational complexity (O(K 2 ) multiplications and O(K 3 ) additions). Third, the algorithm has an inherent parallelism. To our kn… Show more

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Cited by 7 publications
(4 citation statements)
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“…In the second sub-section, we show the BDM efficiency to explore communication strategies and their impact in final design, by studying a real application: an Hyper-plane Intersection and Selection HIS algorithm used in MC-CDMA systems (see [9] for more details on the application).…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…In the second sub-section, we show the BDM efficiency to explore communication strategies and their impact in final design, by studying a real application: an Hyper-plane Intersection and Selection HIS algorithm used in MC-CDMA systems (see [9] for more details on the application).…”
Section: Methodsmentioning
confidence: 99%
“…Let sm i (n) represents the path metric for state i, and bm ij (n), the branch metric of a corresponding transition from state i to state j, with the time step denoted by n. Then, an example of the ACS recursion corresponding to state 0 is shown in (9).…”
Section: Educational Example Of An Add-compare-select Acs Componentmentioning
confidence: 99%
“…In non-linear iterative detectors [48]- [52], probabilistic data association (PDA) [53] aims to suppress the MAI in each iteration in order to improve the overall error performance. Suboptimal polynomial time detectors that are based on the geometric approach are studied in [54], [55].…”
Section: Introductionmentioning
confidence: 99%
“…In non-linear iterative detectors [12] - [14] and in probabilistic data association (PDA) [15] the aim is to suppress the MAI in each iteration in order to improve the overall error performance. Suboptimal polynomial time detectors that are based on the geometric approach are studied in [16] - [17].…”
Section: Introductionmentioning
confidence: 99%