Stationary Emitter Position Location Using Extended Kalman Filter Based on LOBs Considering The Earth’s Curvature 


Vol. 42,  No. 8, pp. 1611-1620, Aug.  2017
10.7840/kics.2017.42.8.1611


PDF
  Abstract

Several papers have introduced an Extended Kalman filter(EKF) using straight line LOBs(Line Of Bearings) calculated from Direction Of Arrival(DOA) measurements of moving passive observer for the stationary emitter position estimation on the 2-D cartesian coordinate system. This paper introduces the EKF based on the curved LOBs considering the earth’s curvature in order to estimate the stationary emitter position. The analysis of the simulation results shows that the proposed method has better performance than the conventional EKF using straight line LOBs.

  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]

B. Park and J. Ahn, "Stationary Emitter Position Location Using Extended Kalman Filter Based on LOBs Considering The Earth’s Curvature," The Journal of Korean Institute of Communications and Information Sciences, vol. 42, no. 8, pp. 1611-1620, 2017. DOI: 10.7840/kics.2017.42.8.1611.

[ACM Style]

Byungkoo Park and Jaemin Ahn. 2017. Stationary Emitter Position Location Using Extended Kalman Filter Based on LOBs Considering The Earth’s Curvature. The Journal of Korean Institute of Communications and Information Sciences, 42, 8, (2017), 1611-1620. DOI: 10.7840/kics.2017.42.8.1611.

[KICS Style]

Byungkoo Park and Jaemin Ahn, "Stationary Emitter Position Location Using Extended Kalman Filter Based on LOBs Considering The Earth’s Curvature," The Journal of Korean Institute of Communications and Information Sciences, vol. 42, no. 8, pp. 1611-1620, 8. 2017. (https://doi.org/10.7840/kics.2017.42.8.1611)

Search
(IN TITLE, AUTHOR, ABSTRACT,KEYWORDS)

Advanced Search ▼

POPULAR KEYWORDS
(TOP 10 KEYWORDS)

Recent Publications
(LAST 3 YEARS)






pISSN : 1226 - 4717
eISSN : 2287 - 3880