Open AccessMultipath error mitigation using self‐encoded spread spectrum for binary‐offset‐carrier signals
Author(s) -
Duraisamy Poomathi,
Jang Won Mee,
Nguyen Lim,
Steiner Austin
Publication year - 2014
Publication title -
iet communications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.355
H-Index - 62
eISSN - 1751-8636
pISSN - 1751-8628
DOI - 10.1049/iet-com.2013.1077
Subject(s) - binary offset carrier modulation , computer science , multipath propagation , multipath mitigation , algorithm , spread spectrum , offset (computer science) , binary number , mean squared error , pseudorandom binary sequence , modulation (music) , bit error rate , real time computing , electronic engineering , telecommunications , decoding methods , mathematics , statistics , physics , code division multiple access , quadrature amplitude modulation , acoustics , engineering , channel (broadcasting) , arithmetic , programming language
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.