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Speaker: Ali Hussein Muqaibel
Title: Improved Compressive Sensing with Antenna Directivity for Through Wall Imaging
Abstract:
Through-the-wall imaging is usually associated with the use of ultra wideband (UWB) signals to allow for wall penetration and high resolution. It is difficult to keep the antenna pattern fixed at all frequencies. Due to the large bandwidth and associated big data, compressive sensing (CS) is used for through-the-wall imaging. We propose to embed the directivity of the antenna in the designed sparsity dictionary. The results show improved image reconstruction.
Speaker Bio:
Ali Hussein Muqaibel (M’03–SM’12) received the B.Sc. and M.Sc. degrees from King Fahd University of Petroleum & Minerals (KFUPM), Dhahran, Saudi Arabia, in 1996 and 1999, respectively, and the Ph.D. degree from Virginia Polytechnic Institute and State University (Virginia Tech), Blacksburg, in 2003. During his study at Virginia Tech, he was with both the Time Domain and RF Measurements Laboratory and the Mobile and Portable Radio Research Group. He is currently an associate professor with the Electrical Engineering Department, KFUPM. His main area of interest includes localization, channel characterization and Ultra Wideband (UWB) signal processing. He was a visiting associate professor at Villanova University, Villanova, PA, USA with the Center of Advanced Communications (CAC). He is the author of two book chapters and more than 50 articles. Dr. Muqaibel received many awards in the Excellence in teaching, advising and instructional technology.
