복잡한 클러터 환경에서 펄스도플러 레이더 추적필터를 위한 파티클 필터 연구

• 영문명: Particle Filter for Tracking with Pulsed Doppler Radar in Heavy Clutter Environment
• 발행기관: 한국산업기술융합학회(구. 산업기술교육훈련학회)
• 저자명: 권지훈(Ji Hoon Kwon) 하성재(Sung Jae Ha)
• 간행물 정보: 『산업기술연구논문지』산업기술연구논문지 제23권 3호, 47~53쪽, 전체 7쪽
• 주제분류: 공학 > 공학일반
• 파일형태: PDF
• 발행일자: 2018.09.30

영문 초록

This paper reports on the effectiveness of a particle filter for a pulsed Doppler radar in a heavy clutter environment. For this purpose, we designed a pulsed Doppler radar simulator for tracking a virtual target. This simulator encompasses the whole procedure of radar signal processing. In order to consider the non-linearity of the measurement data and a heavy clutter environment, we lowered the constant false alarm rate threshold level to generate many false alarms and we considered a moving target following a complex path. Under these conditions, the tracking performances of an extended Kalman filter (EKF) and the particle filter were analyzed and compared. The results show that the performance of the particle filter was more reliable than that of the EKF in the given scenario.

목차

ABSTRACT

Ⅰ. 서론

Ⅱ. 칼만필터와 파티클필터

Ⅲ. 레이더시뮬레이터

Ⅳ. 추적필터 구현 및 분석

Ⅴ. 결론

참고문헌

키워드

추적 필터 파티클 필터 펄스 도플러 레이더 레이더 신호처리 칼만필터 Tracking Filter Particle Filter Pulsed Doppler Radar Radar Signal Processing Kalman Filter