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 humans and flying UAVs. ewline Signatures were gathered using a network of sensors consisting of a CW monostatic radar operating at 10 GHz (X-band) and an ultrasound radar with a monostatic and a bistatic channel operating at 45 kHz and 35 kHz, respectively. A preliminary analysis of automatic target classification performance and a comparison with the radar monostatic case is also presented
In this letter, we investigate the use of micro-Doppler signatures experimentally recorded by a mult...
This paper illustrates the results of a series of measurements of multistatic radar signatures of sm...
This paper analyses the use of human micro-Doppler signatures collected using a multistatic radar sy...
Target motions, other than the main bulk translation of the target, induce Doppler modulations aroun...
Target motions, other than the main bulk translation of the target, induce Doppler modulations aroun...
Target motions, other than the main bulk translation of the target, induce Doppler modulations aroun...
This paper investigates the selection of different combinations of features at different multistati...
This study discusses the analysis of multistatic micro-Doppler signatures and related features to di...
This study discusses the analysis of multistatic micro-Doppler signatures and related features to di...
Automatic target recognition based on features obtained from micro-Doppler signatures has a great po...
A set of experimental trials was conducted with a 10 GHz continuous wave radar to collect micro-Dopp...
The use of micro-Doppler signatures experimentally collected by a multistatic radar system to recogn...
This thesis studies non-cooperative automatic radar target classification. Recent developments in si...
The use of drones for recreational, commercial and military purposes has seen a rapid increase in re...
Classification of different human activities using multistatic micro-Doppler data and features is co...
In this letter, we investigate the use of micro-Doppler signatures experimentally recorded by a mult...
This paper illustrates the results of a series of measurements of multistatic radar signatures of sm...
This paper analyses the use of human micro-Doppler signatures collected using a multistatic radar sy...
Target motions, other than the main bulk translation of the target, induce Doppler modulations aroun...
Target motions, other than the main bulk translation of the target, induce Doppler modulations aroun...
Target motions, other than the main bulk translation of the target, induce Doppler modulations aroun...
This paper investigates the selection of different combinations of features at different multistati...
This study discusses the analysis of multistatic micro-Doppler signatures and related features to di...
This study discusses the analysis of multistatic micro-Doppler signatures and related features to di...
Automatic target recognition based on features obtained from micro-Doppler signatures has a great po...
A set of experimental trials was conducted with a 10 GHz continuous wave radar to collect micro-Dopp...
The use of micro-Doppler signatures experimentally collected by a multistatic radar system to recogn...
This thesis studies non-cooperative automatic radar target classification. Recent developments in si...
The use of drones for recreational, commercial and military purposes has seen a rapid increase in re...
Classification of different human activities using multistatic micro-Doppler data and features is co...
In this letter, we investigate the use of micro-Doppler signatures experimentally recorded by a mult...
This paper illustrates the results of a series of measurements of multistatic radar signatures of sm...
This paper analyses the use of human micro-Doppler signatures collected using a multistatic radar sy...