Advanced signal processing solutions for ATR and spectrum sharing in distributed radar systems

This Thesis presents advanced signal processing solutions for AutomaticTarget Recognition (ATR) operations and for spectrum sharing in distributed radar systems.Two Synthetic Aperture Radar (SAR) ATR algorithms are described forfull- and single-polarimetric images, and tested on the GOTCHA and theMSTAR datasets. The first one exploits the Krogager polarimetric decomposition in order to enhance peculiar scattering mechanisms from manmade targets, used in combination with the pseudo-Zernike image moments. The second algorithm employs the Krawtchouk image moments,that, being discrete defined, provide better representations of targets’ details. The proposed image moments based framework can be extended tothe availability of several images from multiple sensors through the implementation of a simple fusion rule.A model-based micro-Doppler algorithm is developed for the identification of helicopters. The approach relies on the proposed sparse representation of the signal scattered from the helicopter’s rotor and received bythe radar. Such a sparse representation is obtained through the application of a greedy sparse recovery framework, with the goal of estimatingthe number, the length and the rotation speed of the blades, parametersthat are peculiar for each helicopter’s model. The algorithm is extended todeal with the identification of multiple helicopters flying in formation thatcannot be resolved in another domain. Moreover, a fusion rule is presentedto integrate the results of the identification performed from several sensorsin a distributed radar system. Tests performed both on simulated signalsand on real signals acquired from a scale model of a helicopter, confirmthe validity of the algorithm.Finally, a waveform design framework for joint radar-communication systems is presented. The waveform is composed by quasi-orthogonal chirpsub-carriers generated through the Fractional Fourier Transform (FrFT),with the aim of preserving the radar performance of a typical Linear Frequency Modulated (LFM) pulse while embedding data to be sent to acooperative system. Techniques aimed at optimise the design parameters and mitigate the Inter-Carrier Interference (ICI) caused by the quasiorthogonality of the chirp sub-carriers are also described. The FrFT basedwaveform is extensively tested and compared with Orthogonal FrequencyDivision Multiplexing (OFDM) and LFM waveforms, in order to assessboth its radar and communication performance.

Name dc:type.qualificationname

phd

Level dc:type.qualificationlevel

doctoral-pg

Grantor dc:publisher.institution

University of Strathclyde

Year dc:date.issued

2017

Author dc:creator

• Gaglione, Domenico

Advisors dc:contributor.advisor

• Soraghan, John
• Clemente, Carmine
• Weiss, Stephan, 1968-

DOI

10.48730/st3t-pz24

Identifier

T14692

Author Identifier

201482238

OAI identifier oai:identifier

oai:strathclyde:h702q637s