An Information-Theoretic Approach to Target Estimation of a Laser Radar Tracking System
Final research rept. 1 Nov 1981-31 Oct 1982
DREXEL UNIV PHILADELPHIA PA DEPT OF ELECTRICAL AND COMPUTER ENGINEERING
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High energy laser systems with highly accurate measurements as target tracking sensors use a conical scan process to obtain a target capture and tracking within the narrow beamwidth. This searching process and the target tracking algorithm are major factors in the performance of the laser radar target tracking system. Previous research results use information-theoretic concepts in establishing a laser radartarget tracking performance bound independent of the filtering algorithm. A computer program was developed to calculate the lower bound of the estimation error due to the non-linear gaussian glint measurement process. Applying the Extended Kalman filter to the angle estimation problem for a gaussian glint measurement process, the resulting filter is found to have a structure consisting of a series of demodulations with gains adaptively determined by the resulting angle estimate. The optimal performance of this estimation process is shown to be dependent on the angle and a bound on the performance as well as a numerical algorithm is presented.
- Lasers and Masers
- Plasma Physics and Magnetohydrodynamics