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Suicide Bomber Detection Using Millimeter-Wave Radar, Richard Sullivan, Morgan Galaznik, Jose Ángel Martinez-Lorenzo, Carey M. Rappaport
Suicide Bomber Detection Using Millimeter-Wave Radar, Richard Sullivan, Morgan Galaznik, Jose Ángel Martinez-Lorenzo, Carey M. Rappaport
Jose Martinez-Lorenzo
Amidst the manifold threats currently afflicting public welfare, that of body-worn explosives is significant if not altogether paramount. Commonly referred to as ""suicide bombers,"" the bearers of body-worn, improvised explosive devices (IEDs) enter crowded public areas in order to detonate the IDE, inflicting lethal damage to themselves and surrounding individuals. Constructed of non-standard parts and veiled under layers of clothing, these body-worn IEDs go frequently undetected. The aim of this research is to examine the feasibility of using millimeter-wave (MMW) radar to detect body-worn IEDs at distances up to 50 meters. In order to achieve a beamwidth capable of illuminating …
Suicide Bomber Detection Using Millimeter-Wave Radar, Richard Sullivan, Morgan Galaznik, Jose Ángel Martinez-Lorenzo, Carey M. Rappaport
Suicide Bomber Detection Using Millimeter-Wave Radar, Richard Sullivan, Morgan Galaznik, Jose Ángel Martinez-Lorenzo, Carey M. Rappaport
Carey Rappaport
Amidst the manifold threats currently afflicting public welfare, that of body-worn explosives is significant if not altogether paramount. Commonly referred to as ""suicide bombers,"" the bearers of body-worn, improvised explosive devices (IEDs) enter crowded public areas in order to detonate the IDE, inflicting lethal damage to themselves and surrounding individuals. Constructed of non-standard parts and veiled under layers of clothing, these body-worn IEDs go frequently undetected. The aim of this research is to examine the feasibility of using millimeter-wave (MMW) radar to detect body-worn IEDs at distances up to 50 meters. In order to achieve a beamwidth capable of illuminating …
Automatic Parameter Selection For Feature-Enhanced Radar Image Restoration, Moeness G Amin, Cher Hau Seng, Son Lam Phung, Abdesselam Bouzerdoum
Automatic Parameter Selection For Feature-Enhanced Radar Image Restoration, Moeness G Amin, Cher Hau Seng, Son Lam Phung, Abdesselam Bouzerdoum
Cher Hau Seng
In this paper, we propose a new technique for optimum parameter selection in non-quadratic radar image restoration. Although both the regularization hyper-parameter and the norm value are influential factors in the characteristics of the formed restoration, most existing optimization methods either require memory intensive computation or prior knowledge of the noise. Here, we present a contrast measure-based method for automated hyper-parameter selection. The proposed method is then extended to optimize the norm value used in non-quadratic image formation and restoration. The proposed method is evaluated on the MSTAR public target database and compared to the GCV method. Experimental results show …