DocumentCode
2263835
Title
Low-Complexity Soft-Output Reduced-State Equalization for EDGE
Author
Ayman, Ahmed ; Abdel-Samad
Author_Institution
MIMOS Berhad Technol., Kuala Lumpur
fYear
2007
fDate
17-19 Oct. 2007
Firstpage
158
Lastpage
160
Abstract
In this paper we present and compare several low-complexity approaches for soft-output equalization using reduced-state sequence estimation (RSSE) for EDGE. The proposed approaches require only a forward equalization pass and have the same complexity as hard-output RSSE equalization. However, they offer performance gains close to more complicated approaches that require both forward and backward passes.
Keywords
3G mobile communication; cellular radio; channel estimation; communication complexity; decision feedback equalisers; EDGE; GSM evolution; RSSE; enhanced data rate; low-complexity soft-decision output equalization; reduced-state sequence estimation; Costs; Delay estimation; Equalizers; Filtering; Finite impulse response filter; GSM; Maximum likelihood estimation; Performance gain; Telephone sets; Viterbi algorithm;
fLanguage
English
Publisher
ieee
Conference_Titel
Wireless Communication Systems, 2007. ISWCS 2007. 4th International Symposium on
Conference_Location
Trondheim
Print_ISBN
978-1-4244-0979-2
Electronic_ISBN
978-1-4244-0979-2
Type
conf
DOI
10.1109/ISWCS.2007.4392321
Filename
4392321
Link To Document