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22 October 1993 Track acquisition performance analysis
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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.
© (1993) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Michael A. Kovacich "Track acquisition performance analysis", Proc. SPIE 1954, Signal and Data Processing of Small Targets 1993, (22 October 1993); https://doi.org/10.1117/12.157784
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