Multi-Radar Track Fusion : Making lives easier

Anwer, Basti

ISBN 10: 3847327372 / ISBN 13: 9783847327370

Published by LAP Lambert Academic Publishing, 2015

About this Item

Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | Multi-Radar Tracking refers to the output obtained by the processing done on data from multiple sensors. This process includes measurement-to-track association and data fusion to obtain the nearest and the most accurate output.the input data was obtained from a simulation of a number of aircrafts having different flight paths in random real-time scenarios. Then noise was added to make it as similar to the digitized output of the radars of Pakistan as possible. The objective was to develop identification and fusion algorithms .So first the aircrafts were identified from the redundant data. After that fusion of flight paths of those aircrafts was done so that different aircrafts and their flight paths could be separated as well as predicted. Finally this fully processed data, as results, was displayed on a dynamic map-based GUI .The results show that the algorithms are efficient in most of the cases except in some certain special cases.

Seller Inventory # 11862499/2

Bibliographic Details

• Title: Multi-Radar Track Fusion : Making lives easier
• Publisher: LAP Lambert Academic Publishing
• Publication Date: 2015
• Language: English
• ISBN 10: 3847327372
• ISBN 13: 9783847327370
• Binding: Soft cover
• Condition: Sehr gut
• Seller catalogs:
  • Bücher

About this title

Synopsis

Multi-Radar Tracking refers to the output obtained by the processing done on data from multiple sensors. This process includes measurement-to-track association and data fusion to obtain the nearest and the most accurate output.the input data was obtained from a simulation of a number of aircrafts having different flight paths in random real-time scenarios. Then noise was added to make it as similar to the digitized output of the radars of Pakistan as possible. The objective was to develop identification and fusion algorithms .So first the aircrafts were identified from the redundant data. After that fusion of flight paths of those aircrafts was done so that different aircrafts and their flight paths could be separated as well as predicted. Finally this fully processed data, as results, was displayed on a dynamic map-based GUI .The results show that the algorithms are efficient in most of the cases except in some certain special cases.

About the Author

Author is a Computer System Engineer by profession. He graduated from NUST College of Electrical and Mechanical Engineering, Pakistan in 2009.He then completed his MBA(Marketing) degree from NUST Business School,Pakistan in 2011.He is CEO of Talbia EnCore ,a software company based in Pakistan.