4.7 Article

Observability Metrics for Single-Target Tracking With Bearings-Only Measurements

Journal

IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
Volume 52, Issue 2, Pages 1065-1077

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TSMC.2020.3012485

Keywords

Observability; Target tracking; Radar tracking; Geometry; Linear programming; Bearings-only tracking (BOT); condition number; observability; sensor configuration; trajectory optimization

Funding

  1. China Scholarship Council [201806280305]
  2. National Key Research and Development Program of China [2018YFB1700100]
  3. National Natural Science Foundation of China [61873277]

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This work explores the observability problem in bearings-only tracking (BOT) and proposes a series of metrics based on the condition number to quantitatively describe the observability degree and evaluate the tracking performance. The metrics can also be applied to sensor trajectory optimization and sensor configuration to enhance the tracking performance.
This work considers the observability problem in bearings-only tracking (BOT). Although the rank criterion has always been used for observability analysis, the evident drawback that it can only give a qualitative result prevents us from exploiting more information from the observability matrix. In reality, we want to know not only if the system is observable but also the degree of the observability. In order to quantitatively describe the system observability, we propose a series of metrics for BOT. Being derived based on the condition number, the novel metrics can reflect the observability degree as well as evaluate the tracking performance. Besides, the metrics can be extended to be used for sensor trajectory optimization and sensor configuration, which are crucial to enhancing the tracking performance.

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