한국군사과학기술학회지 (Journal of the Korea Institute of Military Science and Technology)

  • 제12권6호
  • /
  • Pages.727-732
  • /
  • 2009
  • /
  • 1598-9127(pISSN)
  • /
  • 2636-0640(eISSN)
한국군사과학기술학회 (The Korea Institute of Military Science and Technology)
권호 표지

Kalman filter를 이용한 위치추정 알고리즘의 성능 분석

Performance Analysis of Emitter Localization Using Kalman Filter

  • 투고 : 2009.07.06
  • 심사 : 2009.10.09
  • 발행 : 2009.12.31
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

In this paper, the dependence of the Kalman filter-based emitter location algorithm on the initial estimate is investigated. Given all the LOB data, the initial estimate of the emitter location is obtained from the linear LSE algorithm with the former LOB data. Using the initial estimate, the Kalman filter algorithm is applied with the remaining LOB data to update the initial estimate. It is shown that as the number of data used in the calculation of the initial estimate increases, the accuracy of the final estimate is improved and the total computational complexity of obtaining the initial estimate and the final estimate increases. In addition, the dependence of the performance of the Kalman filter algorithm on the predefined constant is illustrated.

키워드

참고문헌

  1. Brown R. M., 'Emitter Location Using Bearing Measurements from a Moving Platform', NRL Report 8483, Naval Research Laboratory, Wahington, DC, June 1981
  2. Poisel, R. A., 'Introduction to Communication Electronic Warfare Systems', Norwood, MA : Artech House, pp. 384-388, 2002
  3. Aidala, V. J., 'Kalman Filter Behavior in Bearing- Only Tracking Applications', IEEE Transactions on Aerospace and Electronic Systems, Vol. 15, No. 1, pp. 29-39, January 1979 https://doi.org/10.1109/TAES.1979.308793
  4. Spingarn, K., 'Passive Position Location Estimation Using the Extened Kalman Filter', IEEE Transactions on Aerospace and Electronic Systems, Vol. AES-23, No. 4, pp. 558-567, July 1987 https://doi.org/10.1109/TAES.1987.310889