A NOVEL FRONT-END NOISE POWER AND SNR ESTIMATION USING WAVELET-PACKETS IN OFDM SYSTEMS

Rana Shahid Manzoor, Varun Jeoti, Nidal Kamel, Muhammad Asif

Abstract

In this paper, a noise power estimator based on one OFDM preamble is proposed. The estimator, unlike others, performs noise power estimation at the front-end of the receiver. The proposed estimator takes into consideration the different noise power levels over the OFDM sub-carriers. The OFDM band is divided into several sub-bands using wavelet packet and noise in each sub-band is considered white. The second-order statistics of the transmitted OFDM preamble are calculated in each sub-band and the noise power is estimated. The proposed estimator is compared with Reddy’s estimator for colored noise in terms of mean squared error (MSE).

References

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Paper Citation


in Harvard Style

Shahid Manzoor R., Jeoti V., Kamel N. and Asif M. (2008). A NOVEL FRONT-END NOISE POWER AND SNR ESTIMATION USING WAVELET-PACKETS IN OFDM SYSTEMS . In Proceedings of the International Conference on Wireless Information Networks and Systems - Volume 1: WINSYS, (ICETE 2008) ISBN 978-989-8111-62-3, pages 140-144. DOI: 10.5220/0002023301400144


in Bibtex Style

@conference{winsys08,
author={Rana Shahid Manzoor and Varun Jeoti and Nidal Kamel and Muhammad Asif},
title={A NOVEL FRONT-END NOISE POWER AND SNR ESTIMATION USING WAVELET-PACKETS IN OFDM SYSTEMS},
booktitle={Proceedings of the International Conference on Wireless Information Networks and Systems - Volume 1: WINSYS, (ICETE 2008)},
year={2008},
pages={140-144},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002023301400144},
isbn={978-989-8111-62-3},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Wireless Information Networks and Systems - Volume 1: WINSYS, (ICETE 2008)
TI - A NOVEL FRONT-END NOISE POWER AND SNR ESTIMATION USING WAVELET-PACKETS IN OFDM SYSTEMS
SN - 978-989-8111-62-3
AU - Shahid Manzoor R.
AU - Jeoti V.
AU - Kamel N.
AU - Asif M.
PY - 2008
SP - 140
EP - 144
DO - 10.5220/0002023301400144