Low complexity iterative method of signal detection in OFDM doubly selective channels

Sajid Ahmed; Mathini Sellathurai; Sangarapillai Lambotharan; Jonathan Chambers

Low complexity iterative method of signal detection in OFDM doubly selective channels

Sajid Ahmed^*, Mathini Sellathurai, Sangarapillai Lambotharan, Jonathan Chambers

^*Corresponding author for this work

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

Abstract

Time selectivity of the channel causes inter-carrier interference (ICI) in orthogonal frequency division multiplexing (OFDM), thereby degrading the system performance significantly and increasing the computational complexity of the receiver. On the other hand, time selectivity introduces temporal diversity that can be exploited to improve the performance of the receiver. In this work, a new method is presented to compensate for the effects of time selectivity of the channel that exploits the sparsity present in the channel convolution matrix (CCM). Here, working with time and frequency domain samples, a low complexity iterative algorithm is proposed. Simulation results show the superior performance over the standard linear minimum mean square error (L-MMSE) equalizer with the advantage of computational saving and temporal diversity gain.

Original language	English
Title of host publication	Proceedings of the 13th European Signal Processing Conference 2005
Publisher	IEEE
ISBN (Print)	9781604238211
Publication status	Published - Sept 2005
Event	13th European Signal Processing Conference 2005 - Antalya, Turkey Duration: 4 Sept 2005 → 8 Sept 2005

Conference

Conference	13th European Signal Processing Conference 2005
Abbreviated title	EUSIPCO 2005
Country/Territory	Turkey
City	Antalya
Period	4/09/05 → 8/09/05

Keywords

OFDM
Equalizers
Complexity theory
Time-domain analysis
Iterative methods
Bit error rate
frequency-domain analysis

ASJC Scopus subject areas

Signal Processing

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https://ieeexplore.ieee.org/document/7078428

Cite this

@inproceedings{43ebdce13413407a828e1aae636d5ca8,

title = "Low complexity iterative method of signal detection in OFDM doubly selective channels",

abstract = "Time selectivity of the channel causes inter-carrier interference (ICI) in orthogonal frequency division multiplexing (OFDM), thereby degrading the system performance significantly and increasing the computational complexity of the receiver. On the other hand, time selectivity introduces temporal diversity that can be exploited to improve the performance of the receiver. In this work, a new method is presented to compensate for the effects of time selectivity of the channel that exploits the sparsity present in the channel convolution matrix (CCM). Here, working with time and frequency domain samples, a low complexity iterative algorithm is proposed. Simulation results show the superior performance over the standard linear minimum mean square error (L-MMSE) equalizer with the advantage of computational saving and temporal diversity gain.",

keywords = "OFDM, Equalizers, Complexity theory, Time-domain analysis, Iterative methods, Bit error rate, frequency-domain analysis",

author = "Sajid Ahmed and Mathini Sellathurai and Sangarapillai Lambotharan and Jonathan Chambers",

year = "2005",

month = sep,

language = "English",

isbn = "9781604238211",

booktitle = "Proceedings of the 13th European Signal Processing Conference 2005",

publisher = "IEEE",

address = "United States",

note = "13th European Signal Processing Conference 2005, EUSIPCO 2005 ; Conference date: 04-09-2005 Through 08-09-2005",

}

TY - GEN

T1 - Low complexity iterative method of signal detection in OFDM doubly selective channels

AU - Ahmed, Sajid

AU - Sellathurai, Mathini

AU - Lambotharan, Sangarapillai

AU - Chambers, Jonathan

PY - 2005/9

Y1 - 2005/9

N2 - Time selectivity of the channel causes inter-carrier interference (ICI) in orthogonal frequency division multiplexing (OFDM), thereby degrading the system performance significantly and increasing the computational complexity of the receiver. On the other hand, time selectivity introduces temporal diversity that can be exploited to improve the performance of the receiver. In this work, a new method is presented to compensate for the effects of time selectivity of the channel that exploits the sparsity present in the channel convolution matrix (CCM). Here, working with time and frequency domain samples, a low complexity iterative algorithm is proposed. Simulation results show the superior performance over the standard linear minimum mean square error (L-MMSE) equalizer with the advantage of computational saving and temporal diversity gain.

AB - Time selectivity of the channel causes inter-carrier interference (ICI) in orthogonal frequency division multiplexing (OFDM), thereby degrading the system performance significantly and increasing the computational complexity of the receiver. On the other hand, time selectivity introduces temporal diversity that can be exploited to improve the performance of the receiver. In this work, a new method is presented to compensate for the effects of time selectivity of the channel that exploits the sparsity present in the channel convolution matrix (CCM). Here, working with time and frequency domain samples, a low complexity iterative algorithm is proposed. Simulation results show the superior performance over the standard linear minimum mean square error (L-MMSE) equalizer with the advantage of computational saving and temporal diversity gain.

KW - OFDM

KW - Equalizers

KW - Complexity theory

KW - Time-domain analysis

KW - Iterative methods

KW - Bit error rate

KW - frequency-domain analysis

UR - https://www.scopus.com/pages/publications/84863647242

M3 - Conference contribution

AN - SCOPUS:84863647242

SN - 9781604238211

BT - Proceedings of the 13th European Signal Processing Conference 2005

PB - IEEE

T2 - 13th European Signal Processing Conference 2005

Y2 - 4 September 2005 through 8 September 2005

ER -

Low complexity iterative method of signal detection in OFDM doubly selective channels

Abstract

Conference

Keywords

ASJC Scopus subject areas

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