Equalization of the Correlated Additive Gaussian Noises on the Wireless Links of Sensor Networks
碩士 === 國立交通大學 === 電信工程系所 === 94 === Distributed classification fusion using error correcting codes(DCFECC) has recently been proposed for wireless sensor networks operating in a harsh environment. It has been shown to provide a considerable fault-tolerance capability against unexpected sensor faults...
| Main Authors: | , |
|---|---|
| Other Authors: | |
| Format: | Others |
| Language: | en_US |
| Published: |
2006
|
| Online Access: | http://ndltd.ncl.edu.tw/handle/50206154450560347813 |
| Summary: | 碩士 === 國立交通大學 === 電信工程系所 === 94 === Distributed classification fusion using error correcting codes(DCFECC) has recently been proposed for wireless sensor networks operating in a harsh environment. It has been shown to provide a considerable fault-tolerance capability against unexpected sensor faults under limited energy support. In this thesis, we extend the DCFECC approach by relaxing the assumption of independently and identically distributed wireless link noises to correlated ones. Through channel estimation and equalization, we obtain a fault-tolerant minimum Euclidean distance (MED) fusion rule suitable for use under correlated wireless link noises. A simple code search criterion is also proposed to make the code matrix design feasible with acceptable computational complexity. Simulation results show that the proposed MED fusion rule truly achieves the desired robustness against sensor faults under the simulated AWGN channels, spatially correlated channels and non-identical uncorrelated channels.
|
|---|