Abstract—Identification of radar targets has often been based on information gathered from only a single relative aspect between the radar and target. However, identification performances can be significantly improved, provided that radar signals at multiple aspects are simultaneously used to identify radar targets. In this paper, we investigate performances of various approaches to iden-tification using multiaspect radar signals. In addition, some novel techniques based on the feature space trajectory concept are intro-duced to further enhance the identification performance of the con-ventional methods. All of these approaches are demonstrated using radar cross section (RCS) data of various aircraft models measured at compact range. Result...
This thesis focuses upon automatic target recognition (ATR) with radar sensors. Recent advancements...
The ability to recognise quickly and reliably non-cooperative targets is a primary issue in modern r...
The validation of Radar Cross Section (RCS) prediction techniques against real measurements is cruci...
Abstract—Identification of radar targets has often been based on information gathered from only a si...
This thesis is devoted to the analysis of flying target signatures at low frequencies, by means of a...
Aircraft identification is essential in any air-defence scenario. Without a robust classification ca...
Radar high resolution range profiles are widely used among the target recognition community for the ...
With the increased availability of coherent wideband radars there has been a renewed interest in rad...
Abstract: Many surveillance tasks rely on the generation of stable, continuous tracks of objects of ...
Passive radar is an emerging technology that o#ers a number of unique benefits, including covert ope...
The potential for identifying aircraft using one or more radar range profiles, in conjunction with a...
The technique of the comparative analysis of the identification algorithms, applied at a stage of th...
In this thesis, we propose, a Robust data extraction algorithm capable of extracting reliable target...
This study introduces a novel aspect and polarisation invariant radar target classification method b...
Abstract The radar cross section (RCS) is an important parameter that reflects the scattering charac...
This thesis focuses upon automatic target recognition (ATR) with radar sensors. Recent advancements...
The ability to recognise quickly and reliably non-cooperative targets is a primary issue in modern r...
The validation of Radar Cross Section (RCS) prediction techniques against real measurements is cruci...
Abstract—Identification of radar targets has often been based on information gathered from only a si...
This thesis is devoted to the analysis of flying target signatures at low frequencies, by means of a...
Aircraft identification is essential in any air-defence scenario. Without a robust classification ca...
Radar high resolution range profiles are widely used among the target recognition community for the ...
With the increased availability of coherent wideband radars there has been a renewed interest in rad...
Abstract: Many surveillance tasks rely on the generation of stable, continuous tracks of objects of ...
Passive radar is an emerging technology that o#ers a number of unique benefits, including covert ope...
The potential for identifying aircraft using one or more radar range profiles, in conjunction with a...
The technique of the comparative analysis of the identification algorithms, applied at a stage of th...
In this thesis, we propose, a Robust data extraction algorithm capable of extracting reliable target...
This study introduces a novel aspect and polarisation invariant radar target classification method b...
Abstract The radar cross section (RCS) is an important parameter that reflects the scattering charac...
This thesis focuses upon automatic target recognition (ATR) with radar sensors. Recent advancements...
The ability to recognise quickly and reliably non-cooperative targets is a primary issue in modern r...
The validation of Radar Cross Section (RCS) prediction techniques against real measurements is cruci...