Fusion of Deep Representations in Multistatic Radar Networks

Jarez Patel, Francesco Fioranelli, Matthew Ritchie, Hugh Griffiths

Research output: Chapter in Book/Conference proceedings/Edited volumeChapterScientific


This chapter has thoroughly explored the necessity and importance of careful planning in the implementation of data fusion methods and architecture within multistatic radar networks. The identification of opportunities for data fusion in a processing system, depicted in this chapter, showcases a multitude of locations for data fusion to occur. These have been progressively integrated into research throughout recent years and is collectively organised, presented and discussed. The works deliberated consisted of the classification of human micro-Doppler signatures, to the characterisation of payloads carried by a micro-drone
Original languageEnglish
Title of host publicationDeep Neural Network Design for Radar Applications
EditorsSevgi Zubeyde Gurbuz
PublisherThe IET Press
Pages311 –353
Number of pages43
ISBN (Electronic)9781785618529
ISBN (Print)978-1-78561-852-9
Publication statusPublished - 2020


  • Data fusion methods
  • Deep representation fusion
  • Doppler radar
  • Human microdoppler signature classification
  • Microdrone
  • Multistatic radar networks
  • Sensor fusion


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