DocumentCode
2337915
Title
WLC28-6: A Sphere Decoding Approach to Multiple Symbols Differential Detection for UWB Systems
Author
Lottici, Vincenzo ; Tian, Zhi
Author_Institution
Dept. of Inf. Eng., Univ. of Pisa, Pisa
fYear
2006
fDate
Nov. 27 2006-Dec. 1 2006
Firstpage
1
Lastpage
5
Abstract
Ultra-wideband (UWB) wireless channels are typically characterized by dense multipath scattering, which on the one hand provides very large multipath diversity, but on the other hand complicates UWB impulse radio receiver design as far as channel estimation and multipath energy capture are concerned. In this paper, we present a multi-symbols differential detector (MSDD) in which blocks of M received symbols are jointly processed based on the autocorrelation detection principle, bypassing training or costly channel estimation. As the block size M increases, the detection performance improves, but maximum- likelihood MSDD quickly becomes computationally impractical when M is over 10. To circumvent high complexity, we derive a new implementation of the MSDD decision rule based on the sphere decoding (SD) algorithm. The proposed SD approach to MSDD offers attractive detection performance based on a simple receiver structure and at affordable computational complexity polynomial in M.
Keywords
diversity reception; maximum likelihood decoding; maximum likelihood detection; radio receivers; ultra wideband communication; MSDD; UWB impulse radio receiver design; UWB systems; autocorrelation detection; channel estimation; computational complexity polynomial; maximum- likelihood MSDD; multipath diversity; multipath energy capture; multipath scattering; multiple symbols differential detection; multisymbols differential detector; sphere decoding approach; ultra-wideband wireless channels; Autocorrelation; Channel estimation; Computational complexity; Decoding; Detectors; Energy capture; Maximum likelihood detection; Receivers; Scattering; Ultra wideband technology;
fLanguage
English
Publisher
ieee
Conference_Titel
Global Telecommunications Conference, 2006. GLOBECOM '06. IEEE
Conference_Location
San Francisco, CA
ISSN
1930-529X
Print_ISBN
1-4244-0356-1
Electronic_ISBN
1930-529X
Type
conf
DOI
10.1109/GLOCOM.2006.780
Filename
4151410
Link To Document