DocumentCode
1765842
Title
Multipath error mitigation using self-encoded spread spectrum for binary-offset-carrier signals
Author
Duraisamy, Prakash ; Won Mee Jang ; Lim Nguyen ; Steiner, A.
Author_Institution
Peter Kiewit Inst. of Inf. Sci., Technol. & Eng., Univ. of Nebraska-Lincoln, Omaha, NE, USA
Volume
8
Issue
7
fYear
2014
fDate
May 6 2014
Firstpage
1048
Lastpage
1055
Abstract
Self-encoded spread spectrum (SESS) incorporated with binary-offset-carrier modulation can significantly improve the navigation accuracy exploiting the inherent temporal diversity of iterative detection (ID). ID is the natural realisation of the detection scheme based on the unique SESS spreading sequence that comes from the data source itself. The enhanced precision is presented in terms of multipath error envelope, running average error and root-mean-square error for early-minus-late and elary/late slope. SESS is a promising technology that can substantially mitigate detrimental effects of multipath on tracking error for position location or navigation. The accuracy of SESS with ID is superior to other conventional correlation detection schemes with a similar or minimally increased computational complexity.
Keywords
computational complexity; diversity reception; mean square error methods; modulation; navigation; spread spectrum communication; SESS spreading sequence; binary-offset-carrier modulation; binary-offset-carrier signals; computational complexity; correlation detection schemes; data source; early-minus-late slope; elary-late slope; iterative detection; multipath error envelope; multipath error mitigation; navigation; navigation accuracy; root-mean-square error; running average error; self-encoded spread spectrum; temporal diversity; tracking error;
fLanguage
English
Journal_Title
Communications, IET
Publisher
iet
ISSN
1751-8628
Type
jour
DOI
10.1049/iet-com.2013.1077
Filename
6809385
Link To Document