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Browsing Cranfield Defence and Security by Author "Balleri, Alessio"

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Examination of drone micro-Doppler and JEM/HERM signatures

Markow, John; Balleri, Alessio (IEEE, 2020-12-04)

Radars monitoring small targets often must increase their integration times to achieve sufficient signal-to-noise ratio (SNR) for maintaining a viable track. These longer integation times can prevent micro-Doppler signature ...
Experimental analysis of multistatic multiband radar signatures of wind turbines

Balleri, Alessio; Fioranelli, F.; Ritchie, M.; Griffiths, H. D. (2016-05-23)

This study presents the analysis of recent experimental data acquired using two radar systems at S-band and X-band to measure simultaneous monostatic and bistatic signatures of operational wind turbines near Shrivenham, ...
Experimental analysis of multistatic wind turbine radar clutter statistics

Fioranelli, F.; Ritchie, M.; Balleri, Alessio; Griffiths, H. D. (Institution of Engineering and Technology (IET), 2023-02-01)

This Letter presents preliminary results of the analysis of amplitude statistics of wind turbine clutter as extracted from multistatic radar data. It is shown that the T-location-scale distribution provides good fitting ...
Explainability of deep SAR ATR through feature analysis

Belloni, Carole; Aouf, Nabil; Balleri, Alessio; Le Caillec, Jean-Marc; Merlet, Thomas (IEEE, 2020-10-20)

Understanding the decision-making process of deep learning networks is a key challenge which has rarely been investigated for Synthetic Aperture Radar (SAR) images. In this paper, a set of new analytical tools is proposed ...
Extraction and analysis of micro-Doppler signatures by the Empirical Mode Decomposition

Brewster, Amy; Balleri, Alessio (IEEE, 2015-06-25)

A set of experimental trials was conducted with a 10 GHz continuous wave radar to collect micro-Doppler signatures of a large single, double and triple bladed rotating fin and a sized miniature helicopter. We analysed the ...
FMCW radar prototype development for detection and classification of nano-targets

Binti zulkifli, Safiah; Balleri, Alessio (IEEE, 2020-06-11)

Detection and classification of nano-targets (less than 5 cm in size) are becoming important technical challenges as nano-targets are largely invisible to conventional radar. Nano-drones, for example, may soon become a ...
Guest Editorial: Selected papers from RADAR 2022—International Conference on Radar Systems (Edinburgh, UK)

Clemente, Carmine; Balleri, Alessio (IET - The Institution of Engineering and Technology, 2024-01-29)

It is our great pleasure to present you with this IET Radar, Sonar and Navigation special issue on the ‘Selected Papers from RADAR 2022—International Conference on Radar Systems (Edinburgh, UK)’. RADAR 2022 took place ...
Investigating jammer suppression with a 3-D staring array

Liu, J.; Balleri, Alessio; Jahangir, Mohammed; Baker, C. J. (IET, 2017-10)

A 3-D staring radar operates by using a wide beam transmitter to illuminate the entire surveillance region and generates multiple receive beams using a 2-D static array that can be digitised at element level. The sensor ...
Joint waveform and guidance control optimisation for target rendezvous

Benavoli, Alessio; Balleri, Alessio; Farina, Alfonso (IEEE, 2019-07-22)

The algorithm developed in this paper jointly selects the optimal transmitted waveform and the control input so that a radar sensor on a moving platform with linear dynamics can reach a target by minimising a predefined ...
Joint waveform and guidance control optimization by statistical linearisation for target rendezvous

Benavoli, Alessio; Balleri, Alessio; Farina, Alfonso (IEEE, 2021-06-18)

The algorithm proposed in this paper jointly selects the transmitted waveform and the control input so that a radar sensor on a moving platform can prosecute a target by minimising a predefined cost that accounts for the ...
Landmine internal structure detection from ground penetrating radar images

Lombardi, Federico; Griffiths, Hugh D.; Balleri, Alessio (IEEE, 2018-06-11)

Reliable landmine detection is still an unresolved problem. Demining operations are complex activities because of the large variety of existing landmine types, many different possible soil and terrain conditions, and ...
Measurements and analysis of multistatic and multimodal micro-Doppler signatures for automatic target classification

Perassoli, M.; Balleri, Alessio; Woodbridge, K. (2014-05-23)

The purpose of this paper is to present an experimental trial carried out at the Defence Academy of the United Kingdom to measure simultaneous multistatic and multimodal micro-Doppler signatures of various targets, including ...
Measurements of the radar cross section of a nano-drone at K-band

Balleri, Alessio (IEEE, 2021-08-19)

Nano-drones, are insect-like sized drones with a threat capability of intrusion to provide intelligence and potentially violate secure establishments and public privacy rights. They are an existing technology which is ...
Micro-doppler-based in-home aided and unaided walking recognition with multiple radar and sonar systems

Gurbuz, S. Z.; Clemente, C.; Balleri, Alessio; Sotaghan, J. J. (2016-08-23)

The potential for using micro-Doppler signatures as a basis for distinguishing between aided and unaided gaits is considered in this study for the purpose of characterising normal elderly gait and assessment of patient ...
Multibeam radar based on linear frequency modulated waveform diversity

Kocjancic, Leon; Balleri, Alessio; Merlet, Thomas (IET, 2018-08-09)

Multibeam radar (MBR) systems based on waveform diversity require a set of orthogonal waveforms in order to generate multiple channels in transmission and extract them efficiently at the receiver with digital signal ...
Multibeam radar system based on waveform diversity for RF seeker applications

Kocjancic, Leon (2019-10)

Existing radiofrequency (RF) seekers use mechanically steerable antennas. In order to improve the robustness and performance of the missile seeker, current research is investigating the replacement of mechanical 2D antennas ...
Multistatic dual-channel detection of drones: effects of PNT errors

Griffin, Benjamin; Balleri, Alessio; Catherall, Aled (IEEE, 2023-12-28)

A radar network solution to detect drones is presented that consists of low-cost low-size dual-channel moving receivers, which can be deployed on UASs and operate within the coverage of an existing cooperative or non-cooperative ...
Numerical characterisation of quasi-orthogonal piecewise linear frequency modulated waveforms

Kocjancic, Leon; Balleri, Alessio; Merlet, Thomas (IEEE, 2019-07-01)

This paper presents an analysis of the Doppler tolerance and isolation properties of five different sets of piecewise linear frequency modulated (PLFM) waveform triplets consisting of a combination of LFM subchirps. Different ...
Optimal receiver placement in staring cooperative radar networks for detection of drones

Griffin, Benjamin; Balleri, Alessio; Baker, Chris; Jahangir, Mohammed (IEEE, 2020-12-04)

Staring radars use a transmitting static wide-beam antenna and a directive digital array to form multiple simultaneous beams on receive. Because beams are static, the radar can employ long integration times that facilitate ...
Passive bistatic radar based on staring radar illuminators of opportunity.

Ghazalli, Nasyitah (2018-11)

Passive Bistatic Radar (PBR) systems use non-cooperative illuminators of opportunity to detect, localise and track targets. They have attracted considerable research interest in recent years because they can be operated ...

Browsing Cranfield Defence and Security by Author "Balleri, Alessio"

Browsing Cranfield Defence and Security by Author "Balleri, Alessio"

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