A Castles

AW Ellis

E Boder

FR Manis

H Wimmer

J Leybaert

J Wilding

JO Mitterer

KE Stanovich

L Murphy

M Lobrot

MJ Snowling

P Mousty

PE Bryant

PHK Seymour

U Frith

In this paper, we propose a sparse signal modulation (SSM) method for precoded orthogonal frequency division multiplexing (OFDM) systems and study the signal detection. Although a receiver is able to exploit a path diversity gain with random precoding in OFDM, the complexity of the receiver is usually high as the orthogonality is not retained due to precoding. However, with SSM, we can derive a low-complexity detector that can provide reasonably good performances with a low sparsity ratio based on the notion of compressive sensing (CS). An important feature of a CS detector is that it can estimate SSM signals with a small fraction of the received signals over sub-carriers. This feature can allow us to build a low cost receiver with a small number of demodulators

Choi, Jinho

Ko, Youngwook

Queen's University Belfast Research Portal

Compressive Sensing based Detector for Sparse Signal Modulation in Precoded OFDM

Jinho Choi

Youngwook Ko

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Compressive sensing based detector for sparse signal modulation in precoded OFDM

Genard, Nathalie

Mousty, Philippe

Content, Alain

Alegria Iscoa, Jesus

Leybaert, Jacqueline

Morais, Jose

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Jacqueline Leybaert

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Compressive Sensing based Detector for Sparse Signal Modulation in Precoded OFDM

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Queen's University Belfast Research Portal

Crossref

DI-fusion

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