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Join us for a co-hosted event with the IEEE Signal Processing Society, the IEEE Synthetic Aperture Standards Committee, and the IEEE Synthetic Aperture Technical Working Group at the NIST Boulder campus. Researchers and engineers will engage in cutting-edge research on computational imaging and sensing using synthetic apertures (SAs).
The term SA refers generically to a discrete measurement scheme together with an inverse problem solution that yields imaging or sensing performance better than the hardware system is inherently capable of, e.g., wider field-of-view, higher angular resolution. An SA may sample a propagating wavefield or environmental parameters in the signal domain via linear motion of an antenna or transducer, as in synthetic aperture radar (SAR), sonar (SAS), or channel sounding. Alternatively, an SA may sample in the k-space domain via different look angles around an object or scene, as in computed tomography, spotlight SAR or Fourier ptychography. Lastly, an SA may be constructed from a sparse array of sensors as in radiometry, seismology, or radio astronomy. The front end of an SA may be a conventional antenna, acoustic transducer, or a quantum sensor, such as a Rydberg probe, in advanced implementations. CISA will highlight advances in the theoretical development, engineering practice, and standardization of all aspects of SA imaging and sensing.
Suggested topics for CISA are listed below
Radar: Automotive SAR, mmWave and THz SAR, polarimetric SAR, ISAR, 3-D imaging, High-dimensional feature processing using tensors Sonar: Micronavigation and position uncertainty, Bathymetry, Wideband regimes Optics: Phase retrieval, Ptychography, Holography, Coded diffraction imaging, Coded aperture imaging, Wirtinger flow, Deep learning techniques 5G: Channel sounding, Over-the-air calibration, MIMO antenna testbeds, Intelligent reflecting surfaces, Near-field beam focusing Seismology: Wave migration and localization techniques Inverse problems: Deconvolution and hardware de-embedding, Neuromorphic computing methods Data-driven signal processing: Auto-focusing techniques | Magnetic resonance imaging: Image reconstruction from under-sampled measurements Ultrasound: Flow and velocity estimation Distributed sensors: Networked coherent radars, sonars Power beaming: Wireless power transfer to UAVs Radiometry and remote sensing: 5G signal interference Quantum receivers: Rydberg probes, Lithium-niobate piezoelectric sensors Integrated sensing and communications: Coherent UAV swarms Radio astronomy: Low-noise receivers, Satellite interference mitigation Point cloud processing: LiDAR, 4D mmWave radar in robotics, autonomous driving Model-based image reconstruction: Regularization |
Agenda Coming Soon!
For more information please visit https://2024.ieeecisa.org/
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