A5000885200- Advanced SAR Imaging Techniques
- Radar Systems and Signal Processing
- Microwave Imaging and Scattering Analysis
- Sparse and Compressive Sensing Techniques
- Radio Wave Propagation Studies
- Face and Expression Recognition
- Indoor and Outdoor Localization Technologies
- Synthetic Aperture Radar (SAR) Applications and Techniques
- Engineering Applied Research
- Advanced Image Processing Techniques
- Photoacoustic and Ultrasonic Imaging
- Infrared Target Detection Methodologies
- Millimeter-Wave Propagation and Modeling
- Technology and Data Analysis
Ben-Gurion University of the Negev
2024
University of Electronic Science and Technology of China
2022-2023
Proper prior knowledge of target scattering centers (SCs) can help to obtain better detection performance range-spread targets. However, SCs are sensitive the target's attitude relative radar and vary significantly among different The existing approaches that employ predetermined may suffer degradation when information does not match practical scenarios. A possible way circumvent this drawback is estimate targets adaptively check presence a utilizing range cells occupied by most likely SCs....
This paper deals with the detection of range and Doppler distributed targets imbedded in non-Gaussian clutter. The clutter is modeled as a spherically invariant random process unknown texture components covariance matrix structure. We also assume set secondary signal-free data available to estimate correlation properties Moreover, target signal at each cell assumed be sum returns from an number scattering centers (SCs) amplitudes frequencies. A generalized likelihood ratio test based on...
Unmanned aerial vehicle (UAV) swarm has shown great potential in civilian and military applications. Consequently, there is a high demand for accurate UAV detection information estimation. In this paper, extraction approach proposed. First of all, response to resolving the closely spaced UAVs, we use pulse compression technique range dimension super-resolution azimuth dimension, can get result. Subsequently, constant false alarm rate (CFAR) detection-clustering algorithm used result detect...
The swarm targets, such as unmanned aerial vehicle swarm, with a large number of individuals, high density, and time-varying movement pose severe challenges to radar detection. Meanwhile, the lack targets echoes model hinders research their detection algorithms. In this paper, we mainly study echo modeling validate effectiveness developed by experiments. More precisely, first develop preliminary based on that each entity reflects incident electromagnetic wave independently. Then simulated...
Automotive radars are the main sensor enabling autonomous driving and active safety, therefore, required to provide high resolution in dense urban environments characterized by multiple distributed close objects. Real targets usually over ranges, Doppler frequencies, angular bins. Super-resolution techniques allow distinguishing adjacent point targets, but they not able handle targets. This work proposes a computationally attractive approach for discrimination between closely objects...
Drone swarms are increasingly prevalent in military and civilian use scenarios, thus their effective detection resolution highly desirable. Traditional super-resolution imaging methods rarely utilize the prior information of swarm distribution, structural target is prone to loss. Also, they cannot simultaneously meet requirements high resolution, adaptation different signal-to-noise ratios (SNR), etc. In this paper, we propose a method based on clustering individual sparsity properties...