DocumentCode :
3495154
Title :
Research on Real-time Localization Algorithm of Aircraft on use of Pilot Signals
Author :
Tian, Gao ; Zhanrong, Jing ; Jing, Hou ; Yan, Yang
Author_Institution :
Sch. of Electron. & Inf., Northwestern Polytech. Univ., Xi´´an
Volume :
1
fYear :
2009
fDate :
7-8 March 2009
Firstpage :
190
Lastpage :
193
Abstract :
A 3D passive localization algorithm on the low-altitude aircraft is presented, which takes use of CDMA cellular network pilot signals. The method is using the time differences of arrival (TDOA) of CDMA cellular network pilot signals to make twice weighted least squares (WLS), and then taking use of the original information of inertial navigation system (INS) to make fuzzy elimination, finally achieving 3D real-time positioning of the low-altitude aircraft. Monte Carlo simulation shows that the algorithm is of high speed and high precision, in the Gaussian white noise conditions, the mean square error approaches Cramer-Rao (CRLB).
Keywords :
Gaussian noise; Monte Carlo methods; aircraft navigation; cellular radio; code division multiple access; direction-of-arrival estimation; fuzzy set theory; inertial navigation; inertial systems; least mean squares methods; time-of-arrival estimation; white noise; CDMA cellular network pilot signal; Cramer-Rao lower bound; Gaussian white noise; Monte Carlo simulation; TDOA; fuzzy elimination; inertial navigation system; low-altitude aircraft positioning; mean square error; real-time 3D passive localization algorithm; time differences of arrival; weighted least squares method; Aerospace electronics; Aircraft navigation; Algorithm design and analysis; Base stations; Computer science education; Gain measurement; Investments; Land mobile radio cellular systems; Multiaccess communication; Signal to noise ratio; "INS+passive location"; CDMA cellular network; Monte Carlo simulation; TDOA;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Education Technology and Computer Science, 2009. ETCS '09. First International Workshop on
Conference_Location :
Wuhan, Hubei
Print_ISBN :
978-1-4244-3581-4
Type :
conf
DOI :
10.1109/ETCS.2009.50
Filename :
4958753
Link To Document :
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