MIMO channel estimation in spatially correlated environments

Yen Chih Chen; Yu-Ted Su

doi:10.1109/PIMRC.2004.1370921

MIMO channel estimation in spatially correlated environments

Yen Chih Chen^*, Yu-Ted Su

^*Corresponding author for this work

Department of Electrical and Computer Engineering

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

6 Scopus citations

Abstract

We present in this paper a novel model-based scheme for estimating MIMO block fading channels. The proposed method can be applied to estimate the conventional independent and identically distributed (i.i.d.) complex Gaussian as well as the more realistic spatial-correlated channels. Excellent mean squared identification error (MSIE) performance can be attained with proper designed system parameters. We also derive an adaptive least squares (RLS) version that can be used for estimating a static channel or tracking time-varying channels. Furthermore, when the angle spread (AS) at the transmit site is small and thus the correlations amongst the transmit antennas are high, we show that it is possible to extract the information about the transmitter's angle of departure (AOD) for potential post-processing applications.

Original language	English
Pages	498-502
Number of pages	5
DOIs	https://doi.org/10.1109/PIMRC.2004.1370921
State	Published - 5 Sep 2004
Event	2004 IEEE 15th International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2004 - Barcelona, Spain Duration: 5 Sep 2004 → 8 Sep 2004

Conference

Conference	2004 IEEE 15th International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2004
Country/Territory	Spain
City	Barcelona
Period	5/09/04 → 8/09/04

Keywords

Channel estimation
Space-time signal processing
Spatial correlation

Access to Document

10.1109/PIMRC.2004.1370921

Cite this

@conference{d4814921503941c6b7abc78f0d58a54b,

title = "MIMO channel estimation in spatially correlated environments",

abstract = "We present in this paper a novel model-based scheme for estimating MIMO block fading channels. The proposed method can be applied to estimate the conventional independent and identically distributed (i.i.d.) complex Gaussian as well as the more realistic spatial-correlated channels. Excellent mean squared identification error (MSIE) performance can be attained with proper designed system parameters. We also derive an adaptive least squares (RLS) version that can be used for estimating a static channel or tracking time-varying channels. Furthermore, when the angle spread (AS) at the transmit site is small and thus the correlations amongst the transmit antennas are high, we show that it is possible to extract the information about the transmitter's angle of departure (AOD) for potential post-processing applications.",

keywords = "Channel estimation, Space-time signal processing, Spatial correlation",

author = "Chen, {Yen Chih} and Yu-Ted Su",

year = "2004",

month = sep,

day = "5",

doi = "10.1109/PIMRC.2004.1370921",

language = "English",

pages = "498--502",

note = "2004 IEEE 15th International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2004 ; Conference date: 05-09-2004 Through 08-09-2004",

}

TY - CONF

T1 - MIMO channel estimation in spatially correlated environments

AU - Chen, Yen Chih

AU - Su, Yu-Ted

PY - 2004/9/5

Y1 - 2004/9/5

N2 - We present in this paper a novel model-based scheme for estimating MIMO block fading channels. The proposed method can be applied to estimate the conventional independent and identically distributed (i.i.d.) complex Gaussian as well as the more realistic spatial-correlated channels. Excellent mean squared identification error (MSIE) performance can be attained with proper designed system parameters. We also derive an adaptive least squares (RLS) version that can be used for estimating a static channel or tracking time-varying channels. Furthermore, when the angle spread (AS) at the transmit site is small and thus the correlations amongst the transmit antennas are high, we show that it is possible to extract the information about the transmitter's angle of departure (AOD) for potential post-processing applications.

AB - We present in this paper a novel model-based scheme for estimating MIMO block fading channels. The proposed method can be applied to estimate the conventional independent and identically distributed (i.i.d.) complex Gaussian as well as the more realistic spatial-correlated channels. Excellent mean squared identification error (MSIE) performance can be attained with proper designed system parameters. We also derive an adaptive least squares (RLS) version that can be used for estimating a static channel or tracking time-varying channels. Furthermore, when the angle spread (AS) at the transmit site is small and thus the correlations amongst the transmit antennas are high, we show that it is possible to extract the information about the transmitter's angle of departure (AOD) for potential post-processing applications.

KW - Channel estimation

KW - Space-time signal processing

KW - Spatial correlation

UR - http://www.scopus.com/inward/record.url?scp=11244269672&partnerID=8YFLogxK

U2 - 10.1109/PIMRC.2004.1370921

DO - 10.1109/PIMRC.2004.1370921

M3 - Paper

AN - SCOPUS:11244269672

SP - 498

EP - 502

T2 - 2004 IEEE 15th International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2004

Y2 - 5 September 2004 through 8 September 2004

ER -

MIMO channel estimation in spatially correlated environments

Abstract

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this