| Design of the Target Estimation Filter based on Particle Filter Algorithm for the Multi-Function Radar |
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Jun Moon |
| 파티클 필터 알고리즘을 이용한 다기능레이더 표적 추적 필터 설계 |
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문준 |
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국방과학연구소 |
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| Abstract |
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The estimation filter in radar systems must track targets' position within low tracking error. In the MultiFunction Radar(MFR), α-β filter and Kalman filter are widely used to track single or multiple targets. However,
due to target maneuvering, these filters may not reduce tracking error, therefore, may lost target tracks. In this
paper, a target tracking filter based on particle filtering algorithm is proposed for the MFR. The advantage of this
method is that it can track targets within low tracking error while targets maneuver and reduce impoverishment of
particles by the proposed resampling method. From the simulation results, the improved tracking performance is
obtained by the proposed filtering algorithm. |
| Key Words:
Multi-Function Rada(MFR)r, Target Estimation Filter, Particle Filter, Importance Sampling, Resampling, Bayesian Estimation, Kalman Filter |
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