An EM-based OFDM receiver for time-variant channels

Tareq Y. Al-Naffouri; Ahmad Bahai; Arogyaswami Paulraj

An EM-based OFDM receiver for time-variant channels

Tareq Y. Al-Naffouri^*, Ahmad Bahai, Arogyaswami Paulraj

^*Corresponding author for this work

Research output: Contribution to conference › Paper › peer-review

18 Scopus citations

Abstract

OFDM modulation combines the advantages of high achievable rates and relatively easy implementation. However, for proper recovery of the input, the receiver needs accurate channel information. In this paper, we propose an expectation-maximization (EM) algorithm for joint channel and data recovery. The algorithm makes use of the rich structure of the underlying communication problem- a structure induced by the data and channel constraints. These constraints include pilots, the cyclic prefix (CP), and the finite alphabet constraints on the data, and sparsity, finite delay spread, and the statistical properties of the channel (time and frequency correlation) . Channel identification and equalization is performed optimally and recovery is achieved within the same OFDM symbol using an EM based Kalman filter.

Original language	English (US)
Pages	589-593
Number of pages	5
State	Published - 2002
Externally published	Yes
Event	GLOBECOM'02 - IEEE Global Telecommunications Conference - Taipei, Taiwan, Province of China Duration: Nov 17 2002 → Nov 21 2002

Other

Other	GLOBECOM'02 - IEEE Global Telecommunications Conference
Country/Territory	Taiwan, Province of China
City	Taipei
Period	11/17/02 → 11/21/02

ASJC Scopus subject areas

Electrical and Electronic Engineering
Global and Planetary Change

Cite this

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title = "An EM-based OFDM receiver for time-variant channels",

abstract = "OFDM modulation combines the advantages of high achievable rates and relatively easy implementation. However, for proper recovery of the input, the receiver needs accurate channel information. In this paper, we propose an expectation-maximization (EM) algorithm for joint channel and data recovery. The algorithm makes use of the rich structure of the underlying communication problem- a structure induced by the data and channel constraints. These constraints include pilots, the cyclic prefix (CP), and the finite alphabet constraints on the data, and sparsity, finite delay spread, and the statistical properties of the channel (time and frequency correlation) . Channel identification and equalization is performed optimally and recovery is achieved within the same OFDM symbol using an EM based Kalman filter.",

author = "Al-Naffouri, {Tareq Y.} and Ahmad Bahai and Arogyaswami Paulraj",

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AU - Al-Naffouri, Tareq Y.

AU - Bahai, Ahmad

AU - Paulraj, Arogyaswami

PY - 2002

Y1 - 2002

N2 - OFDM modulation combines the advantages of high achievable rates and relatively easy implementation. However, for proper recovery of the input, the receiver needs accurate channel information. In this paper, we propose an expectation-maximization (EM) algorithm for joint channel and data recovery. The algorithm makes use of the rich structure of the underlying communication problem- a structure induced by the data and channel constraints. These constraints include pilots, the cyclic prefix (CP), and the finite alphabet constraints on the data, and sparsity, finite delay spread, and the statistical properties of the channel (time and frequency correlation) . Channel identification and equalization is performed optimally and recovery is achieved within the same OFDM symbol using an EM based Kalman filter.

AB - OFDM modulation combines the advantages of high achievable rates and relatively easy implementation. However, for proper recovery of the input, the receiver needs accurate channel information. In this paper, we propose an expectation-maximization (EM) algorithm for joint channel and data recovery. The algorithm makes use of the rich structure of the underlying communication problem- a structure induced by the data and channel constraints. These constraints include pilots, the cyclic prefix (CP), and the finite alphabet constraints on the data, and sparsity, finite delay spread, and the statistical properties of the channel (time and frequency correlation) . Channel identification and equalization is performed optimally and recovery is achieved within the same OFDM symbol using an EM based Kalman filter.

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T2 - GLOBECOM'02 - IEEE Global Telecommunications Conference

Y2 - 17 November 2002 through 21 November 2002

ER -

An EM-based OFDM receiver for time-variant channels

Abstract

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ASJC Scopus subject areas

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