Abstract
Adaptive filtering algorithms are presented that are based on the Euclidean Direction Search (EDS) method of optimization. The EDS based algorithms have a fast convergence rate and O(N) computational complexity. These algorithms are investigated for decision feedback equalization in a mobile communication channel with additive noise and multipath. The EDS algorithms are shown to perform very well in attenuating noise and intersymbol interference. Performance in terms of bit error rate (BER) and convergence rate are comparable to those of the RLS algorithm, but at a lower computational cost.
| Original language | English (US) |
|---|---|
| Title of host publication | Conference Record of the Asilomar Conference on Signals, Systems and Computers |
| Publisher | IEEE |
| Pages | 519-523 |
| Number of pages | 5 |
| Volume | 1 |
| State | Published - 1999 |
| Externally published | Yes |
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ASJC Scopus subject areas
- Hardware and Architecture
- Signal Processing
- Electrical and Electronic Engineering
Cite this
Decision feedback equalization using an Euclidean Direction based adaptive algorithm. / Mathurasai, Tanawat; Bose, Tamal; Etter, Delores M.
Conference Record of the Asilomar Conference on Signals, Systems and Computers. Vol. 1 IEEE, 1999. p. 519-523.Research output: Chapter in Book/Report/Conference proceeding › Chapter
}
TY - CHAP
T1 - Decision feedback equalization using an Euclidean Direction based adaptive algorithm
AU - Mathurasai, Tanawat
AU - Bose, Tamal
AU - Etter, Delores M.
PY - 1999
Y1 - 1999
N2 - Adaptive filtering algorithms are presented that are based on the Euclidean Direction Search (EDS) method of optimization. The EDS based algorithms have a fast convergence rate and O(N) computational complexity. These algorithms are investigated for decision feedback equalization in a mobile communication channel with additive noise and multipath. The EDS algorithms are shown to perform very well in attenuating noise and intersymbol interference. Performance in terms of bit error rate (BER) and convergence rate are comparable to those of the RLS algorithm, but at a lower computational cost.
AB - Adaptive filtering algorithms are presented that are based on the Euclidean Direction Search (EDS) method of optimization. The EDS based algorithms have a fast convergence rate and O(N) computational complexity. These algorithms are investigated for decision feedback equalization in a mobile communication channel with additive noise and multipath. The EDS algorithms are shown to perform very well in attenuating noise and intersymbol interference. Performance in terms of bit error rate (BER) and convergence rate are comparable to those of the RLS algorithm, but at a lower computational cost.
UR - http://www.scopus.com/inward/record.url?scp=0033307654&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0033307654&partnerID=8YFLogxK
M3 - Chapter
VL - 1
SP - 519
EP - 523
BT - Conference Record of the Asilomar Conference on Signals, Systems and Computers
PB - IEEE
ER -