Type: Conference paper

An improved radar and infrared sensor tracking fusion algorithm based on IMM-UKF

Journal: 2025 29th International Computer Conference, Computer Society of Iran, CSICC 2025 ()Year: 2019Volume: Issue: Pages: 420 - 423

Sabahi M.^aBao T. Zhang Z.Bao T. Zhang Z.Sabahi M.^a

a :University of Isfahan - IRAN(IR) - Isfahan

DOI:10.1109/ICNSC.2019.8743212Language: English

Abstract

In a radar and infrared sensor synergistic tracking system, an improved radar and infrared sensor cooperative tracking algorithm is proposed based on interacting multiple model and unscented Kalman filter (IMMUKF), which can reduce the radar radiation time. Firstly, the tracking model for the radar and infrared sensor is built and IMMUKF is employed as a filter. Secondly, a novel tracking quality factor is designed for control the radar's radiation. The residual of the new information obtained by comparing the filtering result with the estimated measurement is selected as a criterion. Finally, the working time of radar and infrared sensor is adaptively controlled. And the simulation results show that the proposed method can reduce the radiation time with excellent tracking accuracy. © 2019 IEEE.

Author Keywords

Information fusionRadar and infrared sensorRadar radiation controlTarget tracking

Other Keywords

Information filteringInformation fusionInfrared detectorsInfrared devicesKalman filtersQuality controlRadar trackingTarget trackingCooperative trackingInfra-red sensorInteracting multiple modelRadar radiationTracking accuracyTracking qualityTracking systemUnscented Kalman FilterTracking radar