Fusion of Deep Representations in Multistatic Radar Networks

Book chapter (2020)

Authors

Jarez Patel University of Glasgow
F. Fioranelli Microwave Sensing, Signals & Systems - EEMCS
Matthew Ritchie University College London
Hugh Griffiths University College London
Research Group
Microwave Sensing, Signals & Systems (EEMCS) (TU Delft)
Sensor fusion Doppler radar Data fusion methods Deep representation fusion Human microdoppler signature classification Microdrone Multistatic radar networks
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Published Date

2020

Language

English

Reuse Rights

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Faculty

Electrical Engineering, Mathematics and Computer Science

Department

Microelectronics

Research Group

Microwave Sensing, Signals & Systems

Abstract

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