Skip to main content
Disciplines
Automotive Business IT + Informatics Construction + Real Estate Electrical Engineering + Electronics Energy + Sustainability Insurance + Risk Finance + Banking Management + Leadership Marketing + Sales Mechanical Engineering + Materials
Events
DE
EN
Books
Journals
Topic Page
Marketing
Start single access now
Access for companies
EXTENDED SEARCH
Log in
Top
Wireless Personal Communications
Published in: Wireless Personal Communications 2/2016

22-07-2016

Moment-Based Joint Estimation of Ricean K-Factor and SNR Over Linearly-Modulated Wireless SIMO Channels

Authors: M. Bassem Ben Salah, Abdelaziz Samet

Published in: Wireless Personal Communications | Issue 2/2016

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

In this paper, we develop a new joint estimator for the Ricean K-factor and the signal-to-noise ratio (SNR) when multiple antenna elements receive linearly-modulated signals with a complex additive white Gaussian noise spatially uncorrelated. The fourth-order cross-moments and the second-order moments of the received signal at a single-input multiple-output (SIMO) system are considered. The SNR is deduced by estimating the powers of the useful signals and the noise. While the K-factor is computed by estimating the kurtosises of the transmitted data and the Ricean channel. The new joint estimator is non-data-aided and does not require the a priori knowledge of the modulation type or order. The performances of this algorithm are investigated in terms of normalized root mean square error over different modulated transmissions and compared with the data-aided auto-correlation function (DA-ACF) based joint estimator extended to a SIMO configuration. Simulation results show that our approach outperforms the DA-ACF estimator.
previous article Power Optimization in MIMO-OFDM Systems with Mixed Orthogonal Frequency Division and Space Division Multiple Access Scheme
next article On Efficient Channel Modeling for Video Transmission over Cognitive Radio Networks

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

inform now
Footnotes
1
Note here that we do not make any assumption about the statistical model of the diffuse component of Ricean channel model. So, we avoid any a priori knowledge about the statistical model of \(\tilde{c}_i\). Of course, it has to be zero mean complex Gaussian process.
 
2
For the SNR estimation, we first estimate the noise power at each antenna element, then, we average it over all antenna elements.
 
3
Of course, we can use an \(\omega _m\) estimator among the literature (see [18] and references therein) and combined with DA-ACF one, but this increases the overall computational complexity.
 
4
These parameters correspond to narrowband channels.
 
Literature
1.
Stüber, G. L. (2001). Principles of mobile communication (2nd ed.). Boston: Kluwer.MATH
2.
Steele, R., & Hanzo, L. (1999). Mobile radio communications: Second and third generation cellular and WATM systems (2nd ed.). New York: Wiley.CrossRef
3.
Simon, M. K., & Alouini, M. S. (2000). Digital communication over fading channels: A unified approach to performance analysis (2nd ed.). New York: Wiley.CrossRef
4.
Cui, T., Tang, J., Gao, F., & Tellambura, C. (2011). Moment-based parameter estimation and blind spectrum sensing for quadrature amplitude modulation. IEEE Transactions on Communications, 59(2), 613–623.CrossRef
5.
Tepedelenlioglu, C., Abdi, A., & Giannakis, G. B. (2003). The Ricean K-factor: Estimation and performance analysis. IEEE Transactions on Wireless Communications, 2(4), 799–810.CrossRef
6.
Azemi, G., Senadji, B., & Boashash, B. (2004). Ricean K-factor estimation in mobile communication systems. IEEE Communications Letters, 8(10), 550–560.CrossRef
7.
Baddour, K., & Willink, T. (2008). Improved estimation of the Ricean K-factor from I/Q fading channel samples. IEEE Transactions on Wireless Communications, 7(12), 5051–5057.CrossRef
8.
Ramesh, A., Chockalingam, A., & Milstein, L. B. (2002). SNR estimation in Nakagami-m fading with diversity combining and its application to turbo decoding. IEEE Transactions on Communications, 50(11), 1719–1724.CrossRef
9.
Beaulieu, N. C., & Chen, Y. (2005). Maximum likelihood estimation of local average SNR in Ricean fading channels. IEEE Communications Letters, 9(3), 219–222.
10.
Chen, Y., & Beaulieu, N. C. (2007). Estimation of Ricean K parameter and local average SNR from noisy correlated channel samples. IEEE Transactions on Wireless Communications, 6(2), 640–648.CrossRef
11.
Bousnina, I., Ben Salah, M. B., Samet, A., & Dayoub, I. (2012). Ricean K-factor and SNR estimation for M-PSK modulated signals using the fourth-order cross-moments matrix. IEEE Communications Letters, 16(8), 1236–1239.CrossRef
12.
Bousnina, I., Bellili, F., Samet, A., & Affes, S. (2011). Joint estimation of the Ricean K-factor and the SNR for SIMO systems using higher order statistics. In Proceedings on IEEE GLOBECOM (pp. 1–5). Houston, TX, USA, Dec. 2011.
13.
Felhauer, T., Baier, P. W., König, W., & Mohr, W. (1994). Wideband characterisation of fading outdoor radio channels at 1800 MHz to support mobile radio system design. Wireless Personal Communications, 1(2), 137–149.CrossRef
14.
Ziółkowski, C., & Kelner, J. M. (2015). Geometry-based statistical model for the temporal, spectral, and spatial characteristics of the land mobile channel. Wireless Personal Communications, 83(1), 631–652.CrossRef
15.
Bingham, J. A. C. (1990). Multicarrier modulation for data transmission: An idea whose time has come. IEEE Communications Magazine, 28(5), 5–14.MathSciNetCrossRef
16.
Wang, Z., & Giannakis, G. B. (2000). Wireless multicarrier communications: Where Fourier meets Shannon. IEEE Signal Processing Magazine, 17(3), 29–48.CrossRef
17.
Stéphenne, A., Bellili, F., & Affes, S. (2010). Moment-based SNR estimation over linearly-modulated wireless SIMO channels. IEEE Transactions Wireless Communications, 9(2), 714–722.CrossRef
18.
Ben Rejeb, N., Bousnina, I., Ben Salah, M. B., & Samet, A. (2015). Mean angle of arrival, angular and Doppler spreads estimation in MIMO system. IET Signal Processing, 9(5), 395–402.CrossRef
19.
Ben Salah, M. B., & Samet, A. (2015). Modulation identification using moment features for communications via Ricean fading SIMO channels. Wireless Personal Communications, 83(4), 2683–2692.CrossRef
Metadata
Title
Moment-Based Joint Estimation of Ricean K-Factor and SNR Over Linearly-Modulated Wireless SIMO Channels
Authors
M. Bassem Ben Salah
Abdelaziz Samet
Publication date
22-07-2016
Publisher
Springer US
Published in
Wireless Personal Communications / Issue 2/2016
Print ISSN: 0929-6212
Electronic ISSN: 1572-834X
DOI
https://doi.org/10.1007/s11277-016-3503-6

Other articles of this Issue 2/2016

Wireless Personal Communications 2/2016 Go to the issue

OriginalPaper

A MGF Based Closed Form Expressions for Error Probability and Capacity Over EGK Fading for Interference Limited System

OriginalPaper

Defeating the Eavesdropper: On the Achievable Secrecy Capacity Using Reconfigurable Antennas

OriginalPaper

Analysis and Design of Compact High Gain Microstrip Patch Antenna with Defected Ground Structure for Wireless Applications

OriginalPaper

Beamforming Antenna Array Combining Pattern and Polarization Diversity for Cognitive Radio Applications

OriginalPaper

Self-organized Dynamic FFR Resource Allocation Scheme for LTE-Advanced Relay Based Networks

OriginalPaper

Robust Signal-to-Noise Ratio Estimation in Non-Gaussian Noise Channel