Self-calibration from measurements of targets with known dynamics

Paul D. Burns; W. Dale Blair

doi:10.1117/12.623926

15 September 2005 Self-calibration from measurements of targets with known dynamics

Paul D. Burns, W. Dale Blair

Proceedings Volume 5913, Signal and Data Processing of Small Targets 2005; 591312 (2005) https://doi.org/10.1117/12.623926
Event: Optics and Photonics 2005, 2005, San Diego, California, United States

Abstract

In this paper, the problem of estimating sensor biases (e.g., range and bearing biases) from measurements of targets with deterministic dynamics but uncertain initial conditions is considered. The known dynamics are exploited by a single sensor to self-calibrate or determine unknown sensor biases. The concept of bias state tracklet fusion from tracks of multiple trajectories is discussed. The effectiveness of this concept is demonstrated, and the performance sensitivity to geometry variations and the number of available targets is examined. For comparison, the bias state tracklet estimator is compared to a nonlinear least squares (NLS) estimator.

Citation Download Citation

Paul D. Burns and W. Dale Blair "Self-calibration from measurements of targets with known dynamics", Proc. SPIE 5913, Signal and Data Processing of Small Targets 2005, 591312 (15 September 2005); https://doi.org/10.1117/12.623926

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