Detection, parametric imaging and classification of very small marine targets emerged in heavy sea clutter utilizing GPS-based Forward Scattering Radar

Deep CNNs as a method to classify rotating objects based on monostatic RCS

“…Another recent challenge for neural networks in radar is the identification of radar jamming signals [17, 18]. Traditional neural networks have been applied to synthetic aperture radar imagery for ground terrain classification [19] and crop classification [20]; microwave radar for classifying pedestrians and vehicles [21]; Doppler radar for identifying human breathing [22]; ground penetrating radar for the classification of geological structures [23]; and forward scattering radar for identifying very small marine targets [24].…”

Target moving trajectory estimation by multiple receivers based on GPS forward scattering radar

“…When the target passes through the i th receiver, the change of signal magnitude of GPS satellites with the number of N can be monitored. The azimuth and elevation angles of GPS satellites, Ele and Azi, can be expressed as: According to the method mentioned in [15], the starting and ending time instants, T_S and T_E , at which the target crosses the GPS transmitter–receiver baselines, can be calculated as: Assume that there are M receivers monitoring the target during its moving. The target's moving area can be expressed as:…”

DVB-T-Based Passive Forward Scatter Radar: Inherent Limitations and Enabling Solutions

“…The studies reported in the open literature addressing passive forward scatter radar (PFSR) have investigated the above aspects when parasitically exploiting different illuminators of opportunity operating from Very High Frequency (VHF) to K bands [11], there including Global Navigation Satellite System (GNSS) transmitters [9][10] [13][17] [18], Global System for Mobile Communications (GSM) and Long-Term Evolution (LTE) base stations [12] [20], radio and television broadcast transmitters [14][15] [22], and WiFi access points [16] [19] [21]. Many of these studies focused on the capability of a PFSR to detect and track ground-based or aerial targets, whereas some of them have investigated the potential for improved automatic target classification [18]- [21].…”