Project – Sparsity Aware Adaptive Radar Sensing Imaging
Project Description: this project aims to study radar image formation methods and algorithms considering the sparseness in the data structures. This project is funded by the Department of Defense through the Army Research Office and the Office of Naval Research.
About Adaptive Radar Sensing Imaging
Radar sensors have been widely used for detecting, locating, and tracking targets. However, in a rich scattering environment, the electromagnetic scattering mechanism is very complex due to dispersive nature of the medium as well as the interaction between the propagating waves and the medium. As the desire for persistent and urban sensing has grown, for example, the Air Force Research Laboratory (AFRL)’s Layered Sensing technology, and the Defense Advanced Research Projects Agency (DARPA)’s Urban Multipath Exploitation Radar program, imaging of targets in urban and forested areas has gained increasing interests. However, conventional radar system is not designed for detecting and imaging targets in complex scattering environments. The channel dispersion and multipath scattering significantly reduces image resolution and estimation accuracy, thus limiting the capability of radar sensors to produce high resolution imagery for target identification and tracking in cities with high-rise buildings, in underground tunnels and bunkers, and in foliage penetration applications. In this project, we will investigate various topics that are related to electromagnetic tomographic imaging, adaptive waveform design, antenna placement, sparsity data structures, etc.
Selected Publications:
- Y. Jin, “Cognitive multi-channel radar imaging using Bayesian inference”, submitted to IEEE Sensor Array and Multi-Channel Workshop, 2012
- C. Dong and Y. Jin, “MIMO nonlinear ultrasonic tomographic imaging by propagation and backpropagation method”, submitted to IEEE Transactions on Image Processing. [Full-Text]
- C. Dong and Y. Jin, “Sparsity aware ultrasonic tomographic imaging”, submitted to IEEE Sensor Array and Multi-Channel Workshop, 2012 [ Full-Text]
- C. Dong and Y. Jin, “Time domain electromagnetic tomography using propagation and backpropagation method”, submitted to the IEEE International Conference on Image Processing (ICIP) 2012 [ Full-Text]
- D. Zhao, Y. Jin, B. Wang, R. Zhang, ” Time Reversal Based Broadband Synthesis Method for Arbitrarily Structured Beam-Steering Arrays”, IEEE Transactions on Antennas and Propagation, vol. 60, no. 1, pp. 164-173, January 2012. [Full-Text]
- C. Dong, Y. Jin, M. Farrarr, and K. Priddy, “ A study of multi-static ultrasonic tomography using propagation and backpropagation method“, Proceedings of the SPIE Defense, Security and Sensing, Orlando, FL, April 25-29, 2011, Proc. SPIE 8051, 805106 [ Full-Text]
- Y. Jin, C. Dong, and E. Lu, “Recursive ultrasonic tomographic imaging using propagation and backpropagation method”, Proceedings of the IEEE International Symposium on Biomedical Imaging (ISBI 2011), Chicago, IL, March 30- April 2, 2011, pp. 25-28, IEEE. [ Full-Text]
