The effect of relative update rates on tracking performance

Charles Rea; Mark Silbert

doi:10.1117/12.883211

Translator Disclaimer

5 May 2011 The effect of relative update rates on tracking performance

Charles Rea; Mark Silbert

Author Affiliations +

Proceedings Volume 8050, Signal Processing, Sensor Fusion, and Target Recognition XX; 805005 (2011) https://doi.org/10.1117/12.883211
Event: SPIE Defense, Security, and Sensing, 2011, Orlando, Florida, United States

Abstract

In multi-sensor fusion applications, various sources of data are combined to create a coherent situational picture. The ability to track multiple targets using multiple sensors is an important problem. The data provided by these sensors can be of varying quality, such as data from RADAR and AIS. Does this varied quality of data negatively impact the tracking performance when compared to using the best data source alone? From an information-theoretic standpoint, the answer would be no. However, this paper investigates this issue and exposes a few caveats. In particular, this study addresses how the relative update rate of varying quality sensors affects tracking performance and answers the question 'Is more data always better?'

Citation Download Citation

Charles Rea and Mark Silbert "The effect of relative update rates on tracking performance", Proc. SPIE 8050, Signal Processing, Sensor Fusion, and Target Recognition XX, 805005 (5 May 2011); https://doi.org/10.1117/12.883211

ACCESS THE FULL ARTICLE