Name
Title | ||
|---|---|---|
Channel shortening and equalization based on information rate maximization for evolved GSM/EDGE |
Abstract | ||
|---|---|---|
In this paper, we study Rusek's channel shortening receiver based on the maximization of the lower bound of the information rate for inter-symbol-interference scenarios. We introduce the necessary simplifications which enable the use of the channel shortening algorithm for Evolved GSM/EDGE receivers for 2G cellular networks. We derive the computational complexity, evaluate the performance and compare both to state-of-the art Evolved GSM/EDGE receivers. A performance gain of up to 1 dB is achieved over state-of-the-art channel shortening receivers, while being less complex in terms of multiplications. To further substantiate the concept, a VLSI implementation of the core part of the channel shortener is presented which achieves a three times higher area-throughput product than prior art. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/SiPS.2015.7345018 | 2015 IEEE Workshop on Signal Processing Systems (SiPS) |
Keywords | Field | DocType |
channel equalization,information rate maximization,intersymbol interference,channel shortening algorithm,2G cellular networks,computational complexity,evolved GSM/EDGE receivers,state-of-the-art channel shortening receivers,VLSI implementation | GSM,Equalization (audio),Code rate,Computer science,Communication channel,Real-time computing,Cellular network,Very-large-scale integration,Maximization,Computational complexity theory | Conference |
Citations | PageRank | References |
1 | 0.35 | 10 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Harald Kroll | 1 | 17 | 5.08 |
| Stefan Altorfer | 2 | 1 | 0.35 |
| Thomas Willi | 3 | 1 | 0.35 |
| A. Burg | 4 | 1426 | 126.54 |
| Qiuting Huang | 5 | 399 | 145.90 |