Analysis and approximation of performance bound for two-observer bearings-only tracking

Authors:
Ben-Lian Xu;Qing-Lan Chen;Zheng-Yi Wu;Zhi-Quan Wang
Affiliations:
Department of Information and Control Engineering, Changshu Institute of Technology, Nansanhuanlu 99, Changshu 215500, China and Department of Automation, Nanjing University of Science and Technol ...;Department of Mechanism and Electronics, Changshu Institute of Technology, Changshu 215500, China;Department of Information and Control Engineering, Changshu Institute of Technology, Nansanhuanlu 99, Changshu 215500, China;Department of Automation, Nanjing University of Science and Technology, Nanjing 210094, China
Venue:
Information Sciences: an International Journal
Year:
2008

Citing 7
Cited 1

Estimation with Applications to Tracking and Navigation

Estimation with Applications to Tracking and Navigation
Tracking a manoeuvring target using angle-only measurements: algorithms and performance

Signal Processing
Rao-Blackwellized particle filter for multiple target tracking

Information Fusion
A study on two measurements-to-tracks data assignment algorithms

Information Sciences: an International Journal
Posterior Cramer-Rao bounds for discrete-time nonlinear filtering

IEEE Transactions on Signal Processing
Simple approximations to the Cramer-Rao lower bound on direction ofarrival for closely spaced sources

IEEE Transactions on Signal Processing
Filtering, predictive, and smoothing Cramér-Rao bounds for discrete-time nonlinear dynamic systems

Automatica (Journal of IFAC)

On minimum Fisher information distributions with restricted support and fixed variance

Information Sciences: an International Journal

Quantified Score

Hi-index	0.07

Visualization

Abstract

This paper presents the analytic recursive formulas of Cramer-Rao lower bound (CRLB) for the switching models system, in which the target moves either with a constant velocity or with a constant speed and a constant turn rate. For the case of two-observer bearings-only maneuvering target tracking, a reliable maneuver detection method is investigated and then utilized to approximate the theoretic CRLB. Finally, to demonstrate the agreement between the approximated CRLB using the proposed maneuver detection method and the theoretic one, a large number of Monte-Carlo runs under different maneuvering scenarios are conducted. Correctness of the analytic recursive formulas of CRLB and effectiveness of the proposed maneuver detection method are verified from these simulations.