Track acquisition performance analysis

Michael A. Kovacich

doi:10.1117/12.157784

22 October 1993 Track acquisition performance analysis

Michael A. Kovacich

Proceedings Volume 1954, Signal and Data Processing of Small Targets 1993; (1993) https://doi.org/10.1117/12.157784
Event: Optical Engineering and Photonics in Aerospace Sensing, 1993, Orlando, FL, United States

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.

Citation Download Citation

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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