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2002•Journal of National University of Defense TechnologyRequires access

Debiased Converted Measurement KF for Radar Target Tracking

Zheng Wang

Open publisher page 1 citations

Abstract

Extended Kalman Filter(EKF) and converted measurement Kalman Filter(CMKF) have been widely used in radar target tracking. However ,when cross range measurement errors of target position are serious, the performance of conventional EKF and CMKF degrades considerably. In this article debiased converted measurement Kalman Filter(DCMKF) is inferred with velocity measurement. Simulation results show that DCMKF has a higher accuracy than EKF and CMKF.

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What this paper is about

Extended Kalman Filter(EKF) and converted measurement Kalman Filter(CMKF) have been widely used in radar target tracking. However ,when cross range measurement errors of target position are serious, the performance of conventional EKF and CMKF degrades considerably. In this article debiased converted measurement Kalman Filter(DCMKF) is inferred with velocity measurement. Simulation results show that DCMKF has a higher accuracy than EKF and CMKF.

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Available abstract

Extended Kalman Filter(EKF) and converted measurement Kalman Filter(CMKF) have been widely used in radar target tracking. However ,when cross range measurement errors of target position are serious, the performance of conventional EKF and CMKF degrades considerably. In this article debiased converted measurement Kalman Filter(DCMKF) is inferred with velocity measurement. Simulation results show that DCMKF has a higher accuracy than EKF and CMKF.

Key concepts: Extended Kalman filter, Radar tracker, Kalman filter, Tracking (education), Radar, Position (finance), Computer science, Observational error

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