Initiating 3D air target tracks from 2D naval radar sensor reports

Pierre Valin; Hassan Aurag; Mounia Kjiri

doi:10.1117/12.391992

13 July 2000 Initiating 3D air target tracks from 2D naval radar sensor reports

Pierre Valin, Hassan Aurag, Mounia Kjiri

Proceedings Volume 4048, Signal and Data Processing of Small Targets 2000; (2000) https://doi.org/10.1117/12.391992
Event: AeroSense 2000, 2000, Orlando, FL, United States

Abstract

The topic studied here involves target tracking of aircraft using naval radar, and can be also used in civilian applications such as airport traffic management. The aim is to initiate a 3-D track from lower- dimensional 2-D radar contact data for 3-D track initiation and/or promotion. Because it is meant to be used at long ranges, the main assumption is that the target is performing rectilinear motion at a given altitude. The solution to this problem will facilitate track management, as all tracks will eventually be three-dimensional. The two cascaded algorithms presented here consist in first determining speed and altitude independently of the actual trajectory, then determining the actual trajectory given the best-fit value for the altitude. The algorithms are shown to work perfectly for noiseless data and adequately enough for typical naval radar parameters. The added sensory components will help resolve the association problem in multiple target scenarios by providing altitude information hidden from the sensors and revealed only through this mathematical modeling and its related algorithmic processing. In addition, the fact that one can deduce speed and altitude at the early stages of tracking permits the elimination of many platform identifications at the outset of the Multi-Sensor Data Fusion process.

Citation Download Citation

Pierre Valin, Hassan Aurag, and Mounia Kjiri "Initiating 3D air target tracks from 2D naval radar sensor reports", Proc. SPIE 4048, Signal and Data Processing of Small Targets 2000, (13 July 2000); https://doi.org/10.1117/12.391992

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available