DocumentCode
3149916
Title
Variable forgetting factor recursive least square algorithm applied to multi-station passive location
Author
Xuhong, Fu ; Lijuan, Yan
Author_Institution
Sch. of Electron. & Inf. Eng., Xi´´an Jiaotong Univ., Xi´´an, China
fYear
2011
fDate
16-18 April 2011
Firstpage
4612
Lastpage
4615
Abstract
Study on the technology of direction finding (DF) and localization technology is of vital significance nowadays. For real target, the direction parameter becomes one of the most reliable radiation parameters. This paper proposed a new method of multi-station passive location, which is based on the variable forgetting factor recursive least square algorithm. First, establish the mathematical model of the algorithm for multi-station positioning; secondly, show the mathematical derivation of the algorithm and iteration formula; and then the implementation steps of the algorithm are proposed; finally the simulation comparison with least squares algorithm is discussed. The simulation results demonstrate that, when each measurement error meets with mean 0 and the same variance, this algorithm performs better no matter how the variances of measurement errors are chosen. Moreover, it is much more simplified compared to the least squares in the amount of calculation.
Keywords
least squares approximations; measurement errors; position control; radio direction-finding; direction finding localization technology; direction parameter; measurement errors; multistation passive location; multistation positioning; radiation parameters; recursive least square algorithm; variable forgetting factor; Accuracy; Azimuth; Least squares methods; Measurement errors; Navigation; Signal processing; Simulation; direction finding; multi-station passive location; variable forgetting factor recursive least squares;
fLanguage
English
Publisher
ieee
Conference_Titel
Consumer Electronics, Communications and Networks (CECNet), 2011 International Conference on
Conference_Location
XianNing
Print_ISBN
978-1-61284-458-9
Type
conf
DOI
10.1109/CECNET.2011.5768313
Filename
5768313
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