Abstract
A critical issue in applications involving networks of wireless sensors is their ability to synchronize, and mitigate the fading propagation channel effects. Especially when distributed "slave" sensors (nodes) reach-back to communicate with the "master" sensor (gateway), low power cooperative schemes are well motivated. Viewing each node as an antenna element in a multi-input multioutput (MIMO) multi-antenna system, we design pilot patterns to estimate the multiple carrier frequency offsets (CFO), and the multiple channels corresponding to each node-gateway link. Our novel pilot scheme consists of non-zero pilot symbols along with zeros, which separate nodes in a time division multiple access (TDMA) fashion, and lead to low complexity schemes because CFO and channel estimators per node are decoupled. The resulting training algorithm is not only suitable for wireless sensor networks, but also for synchronization and channel estimation of single- and multi-carrier MIMO systems. We investigate the performance of our estimators analytically, and with simulations.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 284-292 |
| Number of pages | 9 |
| Journal | Journal of Communications and Networks |
| Volume | 7 |
| Issue number | 3 |
| DOIs | |
| State | Published - Sep 2005 |
Keywords
- Channel estimation
- Cramér-Rao bound
- Multi-input multi-output (MIMO)
- Sensor networks
- Synchronization