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Wireless Personal Communications
Erschienen in: Wireless Personal Communications 4/2019

13.05.2019

Time Domain Channel Estimation for MIMO-FBMC/OQAM Systems

verfasst von: Prem Singh, K. Vasudevan

Erschienen in: Wireless Personal Communications | Ausgabe 4/2019

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Abstract

In this paper, a general preamble-based time domain channel estimation model for multiple-input multiple-output (MIMO)-filter bank multicarrier (FBMC) system based on offset quadrature amplitude modulation (OQAM) is derived. In contrast to the conventional frequency domain interference approximation method (IAM)-based channel estimation model, the derived time domain model does not require symbol time to be sufficiently longer than the maximum channel delay spread, viz. the derived time domain model does not require the channel to be frequency flat. Based on the time domain model, the weighted least squares (WLS) and minimum mean square error (MMSE) channel estimators for MIMO-FBMC/OQAM systems are investigated. The Cramer–Rao lower bound for the WLS, MMSE and IAM estimators are derived. It is shown numerically that all the estimators achieve their respective bounds, and the proposed WLS and MMSE estimators significantly outperform the existing IAM channel estimator. The comparison of the bit error rate performance of the aforementioned estimators also validates our work.
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Fußnoten
1
The IAM is the most popular channel estimation technique in FBMC/OQAM. As the name suggests, it uses the fact that the intrinsic interference to any of the symbols comes mainly from its neighborhood symbols due to the well frequency–time localized prototype filter in FBMC/OQAM.
 
2
For well FT localized filters, most of the interference comes from the first order neighborhood of \((\bar{m},\bar{n})\), namely \(\Omega _{\bar{m},\bar{n}}\) = \(\left\{ (\bar{m}\pm 1,\bar{n}\pm 1),(\bar{m},\bar{n}\pm 1),(\bar{m}\pm 1,\bar{n})\right\}\) [11]. Figure 7 provides more details.
 
3
Since \(c^{t}_{\bar{m},\bar{n}}\) is the addition of OQAM symbol and random interference of imaginary nature at FT point \((\bar{m},\bar{n})\), it is called as the virtual symbol.
 
4
Notice that the interference among data symbols is suppressed by taking the real part of the detected virtual symbol since the transmitted data symbols are real.
 
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Metadaten
Titel
Time Domain Channel Estimation for MIMO-FBMC/OQAM Systems
verfasst von
Prem Singh
K. Vasudevan
Publikationsdatum
13.05.2019
Verlag
Springer US
Erschienen in
Wireless Personal Communications / Ausgabe 4/2019
Print ISSN: 0929-6212
Elektronische ISSN: 1572-834X
DOI
https://doi.org/10.1007/s11277-019-06515-7

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