Kalman-aided uplink channel estimation for time-varying multi-user vehicular STAR-RIS systems
Aswiniya Ambigapathy, Sriharipriya KC · 2026
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Description
Aswiniya Ambigapathy and Sriharipriya KC present a 2026 method for reading wireless channels in fast-moving car networks. Cars that talk to each other need clean links, but speed warps the signal through the Doppler effect. Smart surfaces that both pass and bounce signals add promise and complexity at once.
The method starts with a least squares read from neat pilot signals, then hands off to a Kalman filter, which tracks the channel as it changes. A fading model with set timing links the steps, and path loss scaling sharpens the track. In simulations, error fell by up to 25 decibels for one surface mode and near 22 for another, against base methods. The gains held across many driving conditions. The authors pitch the tracker for multi-user roads at high speed.
Catalog record
| CREATOR | Aswiniya Ambigapathy, Sriharipriya KC |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 154997 |
| LICENSE | https://creativecommons.org/licenses/by/4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |