Open AccessUrban and Indoor Weak Signal Tracking Using an Array Tracker with MVA and Nonlinear Filtering
Author(s) -
Jicheng Ding,
Guoli Zhang,
Lin Zhao
Publication year - 2014
Publication title -
journal of applied mathematics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.307
H-Index - 43
eISSN - 1687-0042
pISSN - 1110-757X
DOI - 10.1155/2014/107156
Subject(s) - computer science , global positioning system , tracking (education) , signal (programming language) , kalman filter , viterbi algorithm , signal edge , gps signals , enhanced data rates for gsm evolution , position (finance) , real time computing , tracking system , control theory (sociology) , computer vision , algorithm , artificial intelligence , assisted gps , telecommunications , decoding methods , transmission (telecommunications) , psychology , pedagogy , control (management) , finance , analog signal , economics , programming language
We focus on the need for weak GPS signal tracking technique at a receiver powered on in urban or indoor environment; the tracking loop is unlocked and data bit edge position is unknown. A modified Viterbi algorithm (MVA) based on dynamic programming is developed and it is applied to GPS bit synchronization to improve bit edge position detection probability. Meanwhile, two combination carrier tracking schemes based on central difference Kalman filter (CDKF) and MVA module are designed for tracking very weak GPS signal. The testing results indicate that the methods can successfully detect bit edge position with high detection probability whether or not the tracking loop is locked. The tested combination tracking scheme is still able to work well when the signal quality deteriorates to 20 dB-Hz without additional large store space
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