|Organisation||National Aerospace University KhAI|
|Project Title||Advanced Radar Border Surveillance System for Through-Foliage Objects Detection based on Bispectral Signal Processing|
|H2020 Topic List||Not specified yet|
|Role within the Consortium||* Project Partner|
|Type of activity||* Technology development|
|Project Description||DETAILED DESCRIPTION: https://drive.google.com/file/d/0B528tncP9UEOSjlwbmlqeTNaZHc/view?usp=sharing|
Project aim is to develop, validate and demonstrate Advanced Radar Border Surveillance System,
which guarantee reliable through-foliage detection, recognition and classification of moving objects as a result
of novel robust bispectrum-based signal processing technique application.
State-of-the-art radar automatic target recognition (ATR) systems commonly exploit only energy-based
classification features extracted from radar backscattering. In case of through-foliage radar target detection,
the signal backscattered by the target object is completely contaminated by the vegetation clutter interference
contribution. As a result, it is impossible to detect and recognize the object in through-foliage environment.
In contrast, bispectrum-based signal processing strategy allows extracting and using both energy and phase
information contained in radar backscattering. As a result, bispectrum-based signal processing technique
provides smoothing of vegetation clutter interference that doesn’t contain phase-coupled contributions and, at
the same time, extracting phase-coupled contributions caused by target object. Therefore, in case of through-
foliage detection, specific signal processing algorithms are able to suppress considerably vegetation clutter
interference contribution and to ensure reliable object detection with low false alarms rate (see figures below).
Moreover, application of bispectrum-based signal processing strategy (i) doesn’t require any modifications of
radar design/performances, just a signal processing ATR system, and (ii) compatible with wide range of ground
surveillance or airborne radars.
Project idea is to use bispectrum-based signal processing strategy to radically improve surveillance technologies.
Project scope will cover: (i) development of efficient bispectrum-based signal processing algorithms and relevant
ATR software for widely-used radars; (ii) development/validation/demonstration of border surveillance system
components (on-ground and airborne radars, data processing system, etc.) in relevant environment; (iii)
formulation of conceptual border surveillance system (incl. radar performances, quantity, location,
complementarity, etc.) for selected EU outermost regions (case-studies).
Commercialization of project results (i.e. innovative bispectrum-based signal processing algorithms and
corresponding software; prototypes of border surveillance system components; radar border surveillance system
concept) will improve EU border surveillance and search-and-rescue capabilities in forested regions and
facilitate protection of EU frontiers against penetration of illegal migrants.
Available competences and capabilities: KhAI team has long-term theoretical + practical experience* in
bispectrum-based data processing for ground, aerial and marine targets detection and classification. Available
homodyne polarimetric radars operate in both cm and mm range and can be used for in-situ target detection in
areas covered by vegetation layer, i.e. trees and bushes.
Coordinator and partners sought: We are looking for cooperation with research teams, ATR systems/equipment
manufacturers, ATR software developers and EU border surveillance authorities to create a consortium and
submit a proposal aimed on improvement of EU borders protection.
Project details: RIA (TRL 5-6), indicative budget – 8 M€, indicative timetable – 2018-2020