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2011•Procedia EngineeringOpen access

A New Algorithm for Bearings-Only Parametric Trajectory Tracking

Jinmang Liu, Zhonglin Wu, Jinlong Yang, Zhenxing Li

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Abstract

For the single sensor target tracking with bearings-only measurements, a novel trajectory invariable-information target tracking algorithm was proposed, and bearings-only target can be tracked by the parameter trajectory. For the measure frequency of sensor is high, the mathematic model of bearings-only tracking is analyzed by dividing the trajectory into many linearization parts. The tracking parameter of bearings-only target trajectory is deduced, so the bearings-only target can be tracked by the parameter trajectory. The simulation results show that the new algorithm has a favorable tracking precision.

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What this paper is about

For the single sensor target tracking with bearings-only measurements, a novel trajectory invariable-information target tracking algorithm was proposed, and bearings-only target can be tracked by the parameter trajectory. For the measure frequency of sensor is high, the mathematic model of bearings-only tracking is analyzed by dividing the trajectory into many linearization parts. The tracking parameter of bearings-only target trajectory is deduced, so the bearings-only target can be tracked by the parameter trajectory. The simulation results show that the new algorithm has a favorable tracking precision.

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Available abstract

For the single sensor target tracking with bearings-only measurements, a novel trajectory invariable-information target tracking algorithm was proposed, and bearings-only target can be tracked by the parameter trajectory. For the measure frequency of sensor is high, the mathematic model of bearings-only tracking is analyzed by dividing the trajectory into many linearization parts. The tracking parameter of bearings-only target trajectory is deduced, so the bearings-only target can be tracked by the parameter trajectory. The simulation results show that the new algorithm has a favorable tracking precision.

Key concepts: Trajectory, Tracking (education), Control theory (sociology), Parametric statistics, Tracking system, Linearization, Computer science, Algorithm

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