Passive ranging effectiveness and related metrics in realistic flight scenarios

Francesco Castaldo; Roberto Conte; Luca Fortunato

doi:10.1117/12.2277177

6 October 2017 Passive ranging effectiveness and related metrics in realistic flight scenarios

Francesco Castaldo, Roberto Conte, Luca Fortunato

Proceedings Volume 10433, Electro-Optical and Infrared Systems: Technology and Applications XIV; 104331C (2017) https://doi.org/10.1117/12.2277177
Event: SPIE Security + Defence, 2017, Warsaw, Poland

Abstract

Passive ranging is the process of estimating the distance between an observer (own-ship) and one or more objects (targets) by using passive sensors and angle measurements only, without electromagnetic or acoustic emissions. It is the baseline technique to complete the three dimensional tracking capability of IRST systems, able to automatically search, detect and track targets with generally higher angular resolution than Radars in completely silent mode. As well-known from literature, range is univocally linked to angle only data, when specific relative dynamics occur. In other cases, when such univocal relation does not hold, range estimation is still considered an open research topic. In this paper we select a set of informative cases, derived from our experience in analyzing real sorties data and compare four popular algorithms on the basis of a set of new metrics that, in our opinion, captures the system performance in terms of usability and reliability. Ranging algorithms performance is usually evaluated by means of distance-based metrics (as RMSE) which focus on accuracy of the estimation. Usability and reliability are taken into account here by introducing what we call the Average Range Declaration Length (ARDL) and the Truth-Representative Score (TRS).

Citation Download Citation

Francesco Castaldo, Roberto Conte, and Luca Fortunato "Passive ranging effectiveness and related metrics in realistic flight scenarios", Proc. SPIE 10433, Electro-Optical and Infrared Systems: Technology and Applications XIV, 104331C (6 October 2017); https://doi.org/10.1117/12.2277177

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KEYWORDS

Infrared search and track

Ranging

Filtering (signal processing)

Image processing

Signal processing

Error analysis

Infrared imaging

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