Extraction of Weak Scatterer Features Based on Multipath Exploitation in Radar Imagery

Abstract

We proposed an improved solution to two problems. The first problem is caused by the sidelobe of the dominant scatterer masking a weak scatterer. The proposed solution is to suppress the dominant scatterer by modeling its electromagnetic effects as a secondary source or “extra dependent transmitter” in the measurement domain. The suppression of the domain scatterer reveals the presence of the weak scatterer based on exploitation of multipath effects. The second problem is linearizing the mathematical forward model in the measurement domain. Improving the quantity of the prediction, including multipath scattering effects (neglected under the Born approximation), allows us to solve the inverse problem. The multiple bounce (multipath) scattering effect is the interaction of more than one target in the scene. Modeling reflections from one target towards another as a transmitting dipole will add the multiple scattering effects to the scattering field and permit us to solve a linear inverse problem without sophisticated solutions of a nonlinear matrix in the forward model. Simulation results are presented to validate the concept.

Internet of radar things for cognitive robotics

“…Linking multiple radars is knowing as bistatic/multistatic radar mode where the transmitter and the receiver in separate locations (Almutiry et al, 2017;Griffiths and Baker, 2006;Monte et al, 2010b;Wicks, 2007). By multistatic radar mode, the radar application exceeded some of its physical limitations.…”