Importance of resolution in multiple-target tracking

Frederick E. Daum; Robert J. Fitzgerald

doi:10.1117/12.179063

6 July 1994 Importance of resolution in multiple-target tracking

Frederick E. Daum, Robert J. Fitzgerald

Proceedings Volume 2235, Signal and Data Processing of Small Targets 1994; (1994) https://doi.org/10.1117/12.179063
Event: SPIE's International Symposium on Optical Engineering and Photonics in Aerospace Sensing, 1994, Orlando, FL, United States

Abstract

Sensor resolution is crucial for the success of tracking in a dense multiple target environment. The probability of resolution (P_R) and the probability of correct data association (P_DA) 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 P_R and P_DA 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 P_R is less than P_DA 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.

Citation Download Citation

Frederick E. Daum and Robert J. Fitzgerald "Importance of resolution in multiple-target tracking", Proc. SPIE 2235, Signal and Data Processing of Small Targets 1994, (6 July 1994); https://doi.org/10.1117/12.179063

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