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Proceedings Paper

Importance of resolution in multiple-target tracking
Author(s): Frederick E. Daum; Robert J. Fitzgerald
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Paper Abstract

Sensor resolution is crucial for the success of tracking in a dense multiple target environment. The probability of resolution (PR) and the probability of correct data association (PDA) are computed as a function of: (1) average object separation, (2) sensor resolution, and (3) one-sigma prediction error, for sensor measurements with dimensions n equals 1, 2, 3, ... . The values of PR and PDA are plotted versus the average object separation normalized by the sensor resolution, parameterized by the one-sigma prediction error, for values of n equals 1, 2, 3, ... . By inspection of these curves, it is obvious that PR is less than PDA for n equals 1, 2, 3, ... for any values of average object separation and sensor resolution, for almost any practical value of one-sigma prediction error of interest. This means that sensor resolution is a more important issue than data association in most practical applications. Nevertheless, 99 percent of the literature on multiple target tracking has ignored the issue of resolution.

Paper Details

Date Published: 6 July 1994
PDF: 10 pages
Proc. SPIE 2235, Signal and Data Processing of Small Targets 1994, (6 July 1994); doi: 10.1117/12.179063
Show Author Affiliations
Frederick E. Daum, Raytheon Co. (United States)
Robert J. Fitzgerald, Raytheon Co. (United States)


Published in SPIE Proceedings Vol. 2235:
Signal and Data Processing of Small Targets 1994
Oliver E. Drummond, Editor(s)

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