Compressive Sensing based Detector for Sparse Signal Modulation in Precoded OFDM

Jinho Choi; Youngwook Ko

doi:10.1109/ICC.2015.7249037

Compressive Sensing based Detector for Sparse Signal Modulation in Precoded OFDM

Jinho Choi
, Youngwook Ko

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

11 Citations (Scopus)

774 Downloads (Pure)

Abstract

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.

Original language	English
Title of host publication	Proc. of IEEE International Conference on Communications (ICC'15)
Place of Publication	London
Pages	4536-4540
Number of pages	5
DOIs	https://doi.org/10.1109/ICC.2015.7249037
Publication status	Published - Jun 2015
Event	IEEE International Conference on Communications (ICC 2015) - London, United Kingdom Duration: 08 Jun 2015 → 12 Jun 2015

Conference

Conference	IEEE International Conference on Communications (ICC 2015)
Country/Territory	United Kingdom
City	London
Period	08/06/2015 → 12/06/2015

Keywords

compressive sensing
Multicarrier index keying
ofdm

Access to Document

10.1109/ICC.2015.7249037

Compressive Sensing based Detector for Sparse Signal Modulation in Precoded OFDM
© 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Accepted author manuscript, 243 KB

Cite this

@inproceedings{2a856e1d6c8a429487d38e50f85ad4d8,

title = "Compressive Sensing based Detector for Sparse Signal Modulation in Precoded OFDM",

abstract = "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.",

keywords = "compressive sensing, Multicarrier index keying, ofdm",

author = "Jinho Choi and Youngwook Ko",

year = "2015",

month = jun,

doi = "10.1109/ICC.2015.7249037",

language = "English",

pages = "4536--4540",

booktitle = "Proc. of IEEE International Conference on Communications (ICC'15)",

note = "IEEE International Conference on Communications (ICC 2015) ; Conference date: 08-06-2015 Through 12-06-2015",

}

TY - GEN

T1 - Compressive Sensing based Detector for Sparse Signal Modulation in Precoded OFDM

AU - Choi, Jinho

AU - Ko, Youngwook

PY - 2015/6

Y1 - 2015/6

N2 - 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.

AB - 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.

KW - compressive sensing

KW - Multicarrier index keying

KW - ofdm

U2 - 10.1109/ICC.2015.7249037

DO - 10.1109/ICC.2015.7249037

M3 - Conference contribution

SP - 4536

EP - 4540

BT - Proc. of IEEE International Conference on Communications (ICC'15)

CY - London

T2 - IEEE International Conference on Communications (ICC 2015)

Y2 - 8 June 2015 through 12 June 2015

ER -

Compressive Sensing based Detector for Sparse Signal Modulation in Precoded OFDM

Abstract

Conference

Keywords

Access to Document

Fingerprint

Cite this