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Proceedings Paper

Track acquisition performance analysis
Author(s): Michael A. Kovacich
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Paper Abstract

This paper presents an analytical performance model, verified by Monte Carlo simulation, that predicts the track acquisition performance of a simple, single sensor tracking algorithm. The tracking algorithm consists of a constant velocity Kalman filter, a pure splitting data association algorithm and an M/N/K promotion algorithm. The M/N/K promotion algorithm declares a track to be firm if it receives M hits within N frames of track start and deletes a firm track if it receives K misses in a row. Track acquisition is evaluated in terms of the expected number of frames to declare a firm track on a real target and the spatial density of false tracks that are declared to be firm. The expected time to firm track is derived by calculating the first passage time for the Markov chain modeling target track acquisition, and false track generation is modeled as a multi-type branching process.

Paper Details

Date Published: 22 October 1993
PDF: 10 pages
Proc. SPIE 1954, Signal and Data Processing of Small Targets 1993, (22 October 1993); doi: 10.1117/12.157784
Show Author Affiliations
Michael A. Kovacich, Lockheed Missiles & Space Co., Inc. (United States)

Published in SPIE Proceedings Vol. 1954:
Signal and Data Processing of Small Targets 1993
Oliver E. Drummond, Editor(s)

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