Aperiodic complementary sets of sequences-based MIMO frequency selective channel estimation

Shuangquan Wang; Ali Abdi

doi:10.1109/LCOMM.2005.10019

Aperiodic complementary sets of sequences-based MIMO frequency selective channel estimation

Shuangquan Wang, Ali Abdi

Electrical and Computer Engineering

Research output: Contribution to journal › Article › peer-review

28 Scopus citations

Abstract

Accurate estimation of MIMO frequency selective fading channels is important for reliable communication. In this letter, a new channel estimator which relies on aperiodic complementary sets of sequences is proposed. Theoretical analysis and Monte-Carlo simulation have shown that it achieves the minimum possible Cramér-Rao lower bound. A low-complexity hardware implementation of the estimator is also provided.

Original language	English (US)
Pages (from-to)	891-893
Number of pages	3
Journal	IEEE Communications Letters
Volume	9
Issue number	10
DOIs	https://doi.org/10.1109/LCOMM.2005.10019
State	Published - Oct 2005

All Science Journal Classification (ASJC) codes

Electrical and Electronic Engineering
Computer Science Applications
Modeling and Simulation

Keywords

Aperiodic complementary sets of sequences
Channel estimation
Frequency selective fading
MIMO channels

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10.1109/LCOMM.2005.10019

Cite this

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abstract = "Accurate estimation of MIMO frequency selective fading channels is important for reliable communication. In this letter, a new channel estimator which relies on aperiodic complementary sets of sequences is proposed. Theoretical analysis and Monte-Carlo simulation have shown that it achieves the minimum possible Cram{\'e}r-Rao lower bound. A low-complexity hardware implementation of the estimator is also provided.",

keywords = "Aperiodic complementary sets of sequences, Channel estimation, Frequency selective fading, MIMO channels",

author = "Shuangquan Wang and Ali Abdi",

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AU - Abdi, Ali

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AB - Accurate estimation of MIMO frequency selective fading channels is important for reliable communication. In this letter, a new channel estimator which relies on aperiodic complementary sets of sequences is proposed. Theoretical analysis and Monte-Carlo simulation have shown that it achieves the minimum possible Cramér-Rao lower bound. A low-complexity hardware implementation of the estimator is also provided.

KW - Aperiodic complementary sets of sequences

KW - Channel estimation

KW - Frequency selective fading

KW - MIMO channels

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JO - IEEE Communications Letters

JF - IEEE Communications Letters

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Aperiodic complementary sets of sequences-based MIMO frequency selective channel estimation

Abstract

All Science Journal Classification (ASJC) codes

Keywords

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