2007
DOI: 10.1002/sat.875
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Iterative interference cancellation and channel estimation in multibeam satellite systems

Abstract: SUMMARYThis paper deals with the use of non-linear multiuser detection techniques to mitigate co-channel interference on the reverse link of multibeam satellite systems. These techniques allow more capacity efficient frequency reuse strategies than classical ones, as they make possible to cope with lower C=I: The considered system takes as a starting point the DVB-RCS standard, with the use of convolutional coding, and the use of the Ka-band.We propose different iterative interference cancellation schemes, whi… Show more

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Cited by 13 publications
(7 citation statements)
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“…Millerioux et al . investigate the effect of non‐linear multi‐user detection technique for reducing the effect of co‐channel interference in the return link of satellite system . In particular, they consider an iterative parallel interference cancellation technique rather than a centralized multi‐user detector followed by a set of single‐user decoders.…”
Section: Conceptual Overview Of the Advanced Capacity Improving Technmentioning
confidence: 99%
“…Millerioux et al . investigate the effect of non‐linear multi‐user detection technique for reducing the effect of co‐channel interference in the return link of satellite system . In particular, they consider an iterative parallel interference cancellation technique rather than a centralized multi‐user detector followed by a set of single‐user decoders.…”
Section: Conceptual Overview Of the Advanced Capacity Improving Technmentioning
confidence: 99%
“…In [3], the authors use modified branch metrics for the Viterbi decoder instead of predistortion. However, the work done on multi-user techniques like iterative ACI/CCI cancellation for satellite communications [4][5][6][7], or multi-user (burst) synchronization [8,9] assume a linearized on-board HPA, or totally ignore the HPA effect. Moreover, when dealing with multiple interfering signals the difference in phase offsets, carrier frequency offsets, and power levels of the interfering signals at the satellite transponder input results in varying satellite behaviour.…”
Section: Introductionmentioning
confidence: 99%
“…Of course, the performance of such a solution is significantly affected by interference effects, which have to be treated by an appropriately selected interference mitigation technique. Most prominent examples in this context are linear as well as nonlinear precoding algorithms and multiuser detection (MUD) schemes, both of them excellently summarized and discussed in several chapters of Chatzinotas et al, but the interested reader is also referred to Devillers et al, Christopoulos et al, Zheng et al, Moher, Millerioux et al, Arnau et al, and Christopoulos et al, respectively.…”
Section: Introductionmentioning
confidence: 99%