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Proceedings Paper

Implementation of an angle-only tracking filter
Author(s): Ross R. Allen; Samuel S. Blackman
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Paper Abstract

This paper presents an implementation of a tracking filter for use with angle-only measurement data--such as for use with IR sensor data--with principle application in an air-to- air multiple target tracking environment. The implementation is based upon the modified spherical coordinate (MSC) method. Among the implementation issues discussed are the following: (a) Choice of process noise model. The choice of process noise model must balance the competing needs of filter derivative state convergence versus the prevention of excessive lags during heavy target maneuvers. A maneuver detection scheme is implemented to achieve this balance. The maneuver detection scheme utilizes a test on measurement residuals as well as a batch processor verification of the recursive Kalman filter states. (b) Choice of ownship maneuver for target ranging. The strength and duration of ownship maneuvers impacts the rate and level of range convergence. The orientation of the maneuver relative to target position impacts range observability. In a gross sense, the maneuver should attempt to maximize the projection of the difference between the ownship position following the maneuver and its projected position had it not maneuvered onto the cross-line-of-sight to the target. (c) The effect of sampling rate, measurement accuracy, and target maneuver upon filter performance. Of primary consideration is the impact of these factors on range estimation accuracy. Expected performance is illustrated through the use of Monte Carlo simulation results.

Paper Details

Date Published: 1 August 1991
PDF: 12 pages
Proc. SPIE 1481, Signal and Data Processing of Small Targets 1991, (1 August 1991); doi: 10.1117/12.45663
Show Author Affiliations
Ross R. Allen, Hughes Aircraft Co. (United States)
Samuel S. Blackman, Hughes Aircraft Co. (United States)


Published in SPIE Proceedings Vol. 1481:
Signal and Data Processing of Small Targets 1991
Oliver E. Drummond, Editor(s)

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