A new scheme of radar target recognition based on parameterized high resolution range proles (PHRRP) is presented in this paper. A novel criterion called generalized-weighted-normalized correlation (GWNC) is proposed for measuring the similarity between PHRRP’s. By properly choosing the parameter of the mainlobe width in GWNC, aspect sensitivity of PHRRP’s can be reduced without sacricing their discrim-inative power. Performance of the scheme is evaluated using a dataset of three scaled aircraft models. The experimental results show that by using GWNC, only a small num-ber of most dominant scatterers can achieve the same recognition rates as HRRP’s, thus leading to a signicant data reduction for the recognition system
Abstract—To reduce the complexity of classifier design in radar automatic target recognition (RATR),...
Aircraft identification is essential in any air-defence scenario. Without a robust classification ca...
This paper proposes a radar target recognition algorithm based on a feature set extracted from the t...
Due to the aspect sensitivity of High Resolution Range Profile (HRRP), traditional radar target reco...
With the increased availability of coherent wideband radars there has been a renewed interest in rad...
In order to solve the problem of the decline of accuracy when using the nonparametric method—Stochas...
High resolution range profile (HRRP) is being known as one of the most powerful tools for radar targ...
High resolution range profile (HRRP) plays an important role in wideband radar automatic target reco...
One-dimension range profile has recently been widely used as recognition feature in radar target rec...
Bibliography: leaves 287-294.xviii, 294 p. : ill. (some col.) ; 30 cm.This thesis addresses preproce...
For high-resolution range profile (HRRP) radar target recognition in a low signal-to-noise ratio (SN...
A novel target identification scheme that utilises high-resolution range profiles (HRRPs), which are...
This thesis is concerned with methods to facilitate automatic target recognition using images genera...
Abstract: Automatic target recognition from high range resolution radar profiles remains an importan...
The aspect sensitivity of high-resolution range profile (HRRP) leads to the anomalous change of the ...
Abstract—To reduce the complexity of classifier design in radar automatic target recognition (RATR),...
Aircraft identification is essential in any air-defence scenario. Without a robust classification ca...
This paper proposes a radar target recognition algorithm based on a feature set extracted from the t...
Due to the aspect sensitivity of High Resolution Range Profile (HRRP), traditional radar target reco...
With the increased availability of coherent wideband radars there has been a renewed interest in rad...
In order to solve the problem of the decline of accuracy when using the nonparametric method—Stochas...
High resolution range profile (HRRP) is being known as one of the most powerful tools for radar targ...
High resolution range profile (HRRP) plays an important role in wideband radar automatic target reco...
One-dimension range profile has recently been widely used as recognition feature in radar target rec...
Bibliography: leaves 287-294.xviii, 294 p. : ill. (some col.) ; 30 cm.This thesis addresses preproce...
For high-resolution range profile (HRRP) radar target recognition in a low signal-to-noise ratio (SN...
A novel target identification scheme that utilises high-resolution range profiles (HRRPs), which are...
This thesis is concerned with methods to facilitate automatic target recognition using images genera...
Abstract: Automatic target recognition from high range resolution radar profiles remains an importan...
The aspect sensitivity of high-resolution range profile (HRRP) leads to the anomalous change of the ...
Abstract—To reduce the complexity of classifier design in radar automatic target recognition (RATR),...
Aircraft identification is essential in any air-defence scenario. Without a robust classification ca...
This paper proposes a radar target recognition algorithm based on a feature set extracted from the t...