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: 『한국산업기술융합학회 학술대회 논문집』2018년 후반기 학술대회 논문집, 77~83쪽, 전체 7쪽
• 주제분류: 공학 > 산업공학
• 파일형태: PDF
• 발행일자: 2018.10.26

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.

키워드

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