Median filtering for power estimation in mobile communication systems

C. Tepedelenlioʇlu; N. Sidiropoulos; G. B. Giannakis

doi:10.1109/SPAWC.2001.923889

Median filtering for power estimation in mobile communication systems

C. Tepedelenlioʇlu, N. Sidiropoulos, G. B. Giannakis

Electrical and Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

6 Scopus citations

Abstract

In mobile communications, accurate power estimation is important for power control and handoff decisions. Power estimation algorithms aim to filter out the fast variation in the received power due to multipath fading, and should ideally exhibit very low complexity. For this reason, linear filtering (local mean) is almost exclusively used for power estimation in practice. We derive the maximum likelihood estimator in an idealized setting, and motivated by the statistical properties of the multipath signal, we also propose median filtering for power estimation. Simulations show promising results, indicating gains in RMSE and robustness to increased window size.

Original language	English (US)
Title of host publication	2001 IEEE 3rd Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2001
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	229-231
Number of pages	3
ISBN (Electronic)	0780367200
DOIs	https://doi.org/10.1109/SPAWC.2001.923889
State	Published - 2001
Event	3rd IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2001 - Taoyuan, Taiwan, Province of China Duration: Mar 20 2001 → Mar 23 2001

Publication series

Name	IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC
Volume	2001-January

Other

Other	3rd IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2001
Country/Territory	Taiwan, Province of China
City	Taoyuan
Period	3/20/01 → 3/23/01

Bibliographical note

Publisher Copyright:
© 2001 IEEE.

Keywords

Filtering
Maximum likelihood detection
Maximum likelihood estimation
Mobile communication
Nonlinear filters
Power control
Power filters
Power measurement
Robustness
Shadow mapping

Publisher link

10.1109/SPAWC.2001.923889

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Tepedelenlioʇlu, C., Sidiropoulos, N., & Giannakis, G. B. (2001). Median filtering for power estimation in mobile communication systems. In 2001 IEEE 3rd Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2001 (pp. 229-231). Article 923889 (IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC; Vol. 2001-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SPAWC.2001.923889

Median filtering for power estimation in mobile communication systems. / Tepedelenlioʇlu, C.; Sidiropoulos, N.; Giannakis, G. B.
2001 IEEE 3rd Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2001. Institute of Electrical and Electronics Engineers Inc., 2001. p. 229-231 923889 (IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC; Vol. 2001-January).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Tepedelenlioʇlu, C, Sidiropoulos, N & Giannakis, GB 2001, Median filtering for power estimation in mobile communication systems. in 2001 IEEE 3rd Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2001., 923889, IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC, vol. 2001-January, Institute of Electrical and Electronics Engineers Inc., pp. 229-231, 3rd IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2001, Taoyuan, Taiwan, Province of China, 3/20/01. https://doi.org/10.1109/SPAWC.2001.923889

Tepedelenlioʇlu C, Sidiropoulos N, Giannakis GB. Median filtering for power estimation in mobile communication systems. In 2001 IEEE 3rd Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2001. Institute of Electrical and Electronics Engineers Inc. 2001. p. 229-231. 923889. (IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC). doi: 10.1109/SPAWC.2001.923889

Tepedelenlioʇlu, C. ; Sidiropoulos, N. ; Giannakis, G. B. / Median filtering for power estimation in mobile communication systems. 2001 IEEE 3rd Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2001. Institute of Electrical and Electronics Engineers Inc., 2001. pp. 229-231 (IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC).

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abstract = "In mobile communications, accurate power estimation is important for power control and handoff decisions. Power estimation algorithms aim to filter out the fast variation in the received power due to multipath fading, and should ideally exhibit very low complexity. For this reason, linear filtering (local mean) is almost exclusively used for power estimation in practice. We derive the maximum likelihood estimator in an idealized setting, and motivated by the statistical properties of the multipath signal, we also propose median filtering for power estimation. Simulations show promising results, indicating gains in RMSE and robustness to increased window size.",

keywords = "Filtering, Maximum likelihood detection, Maximum likelihood estimation, Mobile communication, Nonlinear filters, Power control, Power filters, Power measurement, Robustness, Shadow mapping",

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N2 - In mobile communications, accurate power estimation is important for power control and handoff decisions. Power estimation algorithms aim to filter out the fast variation in the received power due to multipath fading, and should ideally exhibit very low complexity. For this reason, linear filtering (local mean) is almost exclusively used for power estimation in practice. We derive the maximum likelihood estimator in an idealized setting, and motivated by the statistical properties of the multipath signal, we also propose median filtering for power estimation. Simulations show promising results, indicating gains in RMSE and robustness to increased window size.

AB - In mobile communications, accurate power estimation is important for power control and handoff decisions. Power estimation algorithms aim to filter out the fast variation in the received power due to multipath fading, and should ideally exhibit very low complexity. For this reason, linear filtering (local mean) is almost exclusively used for power estimation in practice. We derive the maximum likelihood estimator in an idealized setting, and motivated by the statistical properties of the multipath signal, we also propose median filtering for power estimation. Simulations show promising results, indicating gains in RMSE and robustness to increased window size.

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Median filtering for power estimation in mobile communication systems

Abstract

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Keywords

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