Aircraft tracking and logging for commercial airports

2002 ◽  
Author(s):  
Lee Wren ◽  
David Dwyer ◽  
John Thornton ◽  
Nigel Bonsor
Keyword(s):  
Aircraft Tracking

Aircraft tracking by means of the Acoustical Doppler Effect

2013 ◽  
Vol 28 (1) ◽  
pp. 305-314 ◽  
Author(s):  
Sara R. Martín ◽  
Meritxell Genescà ◽  
Jordi Romeu ◽  
Teresa Pàmies
Keyword(s):  
Doppler Effect ◽  
Aircraft Tracking

scholarly journals Radar Detection of Individual Raindrops

2019 ◽  
Vol 100 (12) ◽  
pp. 2433-2450 ◽  
Author(s):  
Jerome M. Schmidt ◽  
Piotr J. Flatau ◽  
Paul R. Harasti ◽  
Robert. D. Yates ◽  
David J. Delene ◽  
...  
Keyword(s):  
Doppler Radar ◽  
Near Field ◽  
High Sensitivity ◽  
Radar Reflectivity ◽  
Range Resolution ◽  
Particle Properties ◽  
Drop Dynamics ◽  
Cloud Radar ◽  
Aircraft Tracking ◽  
Oscillation Characteristics

Abstract Descriptions of the experimental design and research highlights obtained from a series of four multiagency field projects held near Cape Canaveral, Florida, are presented. The experiments featured a 3 MW, dual-polarization, C-band Doppler radar that serves in a dual capacity as both a precipitation and cloud radar. This duality stems from a combination of the radar’s high sensitivity and extremely small-resolution volumes produced by the narrow 0.22° beamwidth and the 0.543 m along-range resolution. Experimental highlights focus on the radar’s real-time aircraft tracking capability as well as the finescale reflectivity and eddy structure of a thin nonprecipitating stratus layer. Examples of precipitating storm systems focus on the analysis of the distinctive and nearly linear radar reflectivity signatures (referred to as “streaks”) that are caused as individual hydrometeors traverse the narrow radar beam. Each streak leaves a unique radar reflectivity signature that is analyzed with regard to estimating the underlying particle properties such as size, fall speed, and oscillation characteristics. The observed along-streak reflectivity oscillations are complex and discussed in terms of diameter-dependent drop dynamics (oscillation frequency and viscous damping time scales) as well as radar-dependent factors governing the near-field Fresnel radiation pattern and inferred drop–drop interference.

scholarly journals Anti-Interference Aircraft-Tracking Method in Infrared Imagery

Sensors ◽  
2019 ◽  
Vol 19 (6) ◽  
pp. 1289
Author(s):  
Sijie Wu ◽  
Kai Zhang ◽  
Saisai Niu ◽  
Jie Yan
Keyword(s):  
Infrared Imaging ◽  
Comprehensive Evaluation ◽  
Infrared Image ◽  
Image Sequences ◽  
Tracking Performance ◽  
Infrared Imagery ◽  
Tracking Method ◽  
Tracking Process ◽  
Aircraft Tracking ◽  
Infrared Signature

In this paper, we focus on developing an algorithm for infrared-imaging guidance that enables the aircraft to be reliably tracked in the event of interference. The key challenge is to track the aircraft with occlusion caused by decoys and drastic appearance changes resulting from a diversity of attacking angles. To address this challenge, an aircraft-tracking algorithm was proposed, which provides robustness in tracking the aircraft against the decoys. We reveal the inherent structure and infrared signature of the aircraft, which are used as discriminative features to track the aircraft. The anti-interference method was developed based on simulated images but validate the effectiveness on both real infrared image sequences without decoys and simulated infrared imagery. For frequent occlusion caused by the decoys, the mechanism of occlusion detection is exploited according to the variation of the model distance in tracking process. To have a comprehensive evaluation of tracking performance, infrared-image sequences with different attack angles were simulated, and experiments on benchmark trackers were performed to quantitatively evaluate tracking performance. The experiment results demonstrate that our aircraft-tracking method performs favorably against state-of-the-art trackers.

scholarly journals Aircraft tracking based on fully conventional network and Kalman filter

2019 ◽  
Vol 13 (8) ◽  
pp. 1259-1265 ◽  
Author(s):  
Jiachen Yang ◽  
Weirong Zhao ◽  
Yurong Han ◽  
Chunqi Ji ◽  
Bin Jiang ◽  
...  
Keyword(s):  
Kalman Filter ◽  
Aircraft Tracking

An Innovative High-Fidelity Approach to Individual Aircraft Tracking

2020 ◽  
Author(s):  
Oleg Levinski ◽  
David Conser ◽  
Carl Mouser ◽  
Stephan Koschel ◽  
Robert Carrese ◽  
...  
Keyword(s):  
High Fidelity ◽  
Aircraft Tracking
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