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) |
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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 | |
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 |
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Volume | 2001-January |
Other
Other | 3rd IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2001 |
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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