DoA Estimating Algorithm Based on ESPRIT by Stepwise Estimating Correlation Matrix 


Vol. 41,  No. 11, pp. 1549-1556, Nov.  2016


PDF
  Abstract

By increased moving speed of aircraft, estimating location of itself becomes more important than ever. This requirement is satisfied by appearance of GPS, however it is useless when signal reception from satellite is not good enough by interruption, for example, traffic jamming. Applying link for communication to additional positioning system is capable of providing relative position of aircraft. Estimating location with link for communication is done without additional equipment but with signal processing based on correlation of received signal. ESPRIT is one of the representative algorithm among them. Estimating correlation matrix is possible to have error since it includes average operation needs enough number of samples not impractical. Therefore we propose algorithm that defines, estimates and removes error matrix of correlation. Proposing algorithm shows better performance than previous one when transmitters are close.

  Statistics
Cumulative Counts from November, 2022
Multiple requests among the same browser session are counted as one view. If you mouse over a chart, the values of data points will be shown.


  Cite this article

[IEEE Style]

J. Shim, H. Park, D. Kim, D. K. Kim, "DoA Estimating Algorithm Based on ESPRIT by Stepwise Estimating Correlation Matrix," The Journal of Korean Institute of Communications and Information Sciences, vol. 41, no. 11, pp. 1549-1556, 2016. DOI: .

[ACM Style]

Jae-Nam Shim, Hongseok Park, Donghyun Kim, and Dong Ku Kim. 2016. DoA Estimating Algorithm Based on ESPRIT by Stepwise Estimating Correlation Matrix. The Journal of Korean Institute of Communications and Information Sciences, 41, 11, (2016), 1549-1556. DOI: .

[KICS Style]

Jae-Nam Shim, Hongseok Park, Donghyun Kim, Dong Ku Kim, "DoA Estimating Algorithm Based on ESPRIT by Stepwise Estimating Correlation Matrix," The Journal of Korean Institute of Communications and Information Sciences, vol. 41, no. 11, pp. 1549-1556, 11. 2016.

Search
(IN TITLE, AUTHOR, ABSTRACT,KEYWORDS)

Advanced Search ▼

POPULAR KEYWORDS
(TOP 10 KEYWORDS)

Recent Publications
(LAST 3 YEARS)






pISSN : 1226 - 4717
eISSN : 2287 - 3880