This paper proposes a target classification method using radar frontal imaging measured by millimeter-wave multiple-input multiple-output (MW-MIMO) through deep convolutional neural networks. Autonomous vehicles must classify targets in front of the vehicle to attain better situational awareness. We use 2D sparse array capture images objects on road, such as sedans, vans, trucks, humans, poles,...

This paper considers a number of aspects related to the achievement of non-cooperative target recognition capabilities in current and near-future radar systems. The scope of the paper is restricted to consideration of the use of high range-resolution profiles. Three particular aspects are discussed. Firstly, the problem of achieving a high range-resolution capability on radars which typically h...

This paper explores the fusion of moving High Range Resolution (HRR) and stationary Synthetic Aperture Radar (SAR) for automatic target recognition and classification. The tradeoffs of resolution and time-to-classify are investigated through simulation. By using a fusion approach, targets are effectively classified in a multitargetmultisensor scenario; however the Bayesian analysis does not acc...

We investigate passive radar imaging of aircraft using reflected TV signals. We apply a Smoothed Pseudo WignerVille Distribution (SPWVD)-based SAR imaging algorithm to two different scenarios. In the first simulation, multistatic VHF-band dataset generated by Fast Illinois Solver Code (FISC) is used. In the second simulation, a more realistic simulated passive radar dataset is used. A set of in...

a fast and accurate synthetic aperture radar raw data generator of moving targets has high importance, especially in the applications of ground moving target indication. in this paper, in the hybrid time-frequency domain, a fast algorithm for strip mode sar raw data generation of moving targets has been proposed. using this simulator, in different conditions in terms of target motion speed, acc...

The role of waveform design is central to effective radar resource management for state-of-the art radar systems. The waveform shape employed by any radar system has always been a key factor in determining the performance and application. The design of radar waveform to minimize mean square error (MSE) in estimating the target impulse response is based on power allocation using waterfilling. ...

high resolution range profile (hrrp) is being known as one of the most powerful tools for radar target recognition. the main problem with range profile for radar target recognition is its sensitivity to aspect angle. to overcome this problem, consecutive samples of hrrp (or feature vectors extracted from them)were assumed to be identically independently distributed (iid) in small frames of aspe...