Abstract
A new joint frequency offset and channel estimator for cooperative relay networks operating over time-varying multipath channels based on Gauss-Hermite integration (GHI) and approximate Rao-Blackwellization (GHI-ARB) is proposed. The resulting algorithm incorporates parallel Schmidt-Kalman filters (SKFs) to separate all interfering links at the destination receiver. In each SKF, Rao-Blackwellization is conditioned on a GHI integration point. Using the Rao-Blackwellization for the frequency offset in the Gauss-Hermite filter (GHF), a joint channel and frequency offset can be efficiently estimated by the proposed GHI-approximate Rao-Blackwellization-based SKF (GHI-ARB-SKF) in the relay network. Simulation results show the superiority of the proposed GHI-ARB-SKF over a Rao-Blackwellized unscented-Kalman-filter (GHI-ARB-UKF)-based approach.
| Original language | English (US) |
|---|---|
| Article number | 5928439 |
| Pages (from-to) | 3142-3155 |
| Number of pages | 14 |
| Journal | IEEE Transactions on Vehicular Technology |
| Volume | 60 |
| Issue number | 7 |
| DOIs | |
| State | Published - Sep 2011 |
All Science Journal Classification (ASJC) codes
- Aerospace Engineering
- Electrical and Electronic Engineering
- Computer Networks and Communications
- Automotive Engineering
Keywords
- Adaptive decode-and-forward (ADF) relay protocol
- Gauss-Hermite filter (GHF)
- Gauss-Hermite integration (GHI)
- approximate Rao-Blackwellization (ARB)
- joint channel and frequency offset estimation
- parallel Schmidt-Kalman filters (SKFs)
- relay networks