It will be held in Naples, in May 16, 2014 the seminar edited by Dr. Amin Moeness, director of the Center for Advanced Communication at Villanova University. The seminar organised in the Conference Room of the Vesuvius Observatory (Via Diocleziano 328 – Naples) from 11 to 13 and in particular it will talk about two issues :
- Compressive Sensing for Urban Radars, or Compressive Urban Sensing (CUS), is an area of research and development which investigates the radar performance within the context of compressive sensing and with a focus on urban applications. In this respect, CUS is a hybrid between the two areas of compressive sensing and urban sensing. In essence, it enables reliable imaging of indoor targets using a very small percentage of the entire data volume. In this talk, compressive sensing will be put in context for radar, in general, and in particular for the urban environment. We will explain how CS can achieve various radar sensing goals and objectives, and how it compares with the use of full data volume. Different radar specifications and configurations will be used. In particular, we will address CS for urban radars towards achieving (a) Imaging through walls; (b) Detection of behind the wall targets; (c) Mitigation of wall clutter; and (d) Exploitation of multipath. All of the above issues will be examined using data generated at the Radar Imaging Lab, Villanova University.
Multi-frequency co-prime arrays for DOA estimations. Co-prime arrays have found broad applications in both areas of radar and sonar. Co-prime arrays are two sub-arrays with co-prime elements and co-prime inter-element spacing. The equivalent co-array includes a large number of virtual elements, thus increasing the number of degrees of freedom and enabling direction of arrival estimations of a number of sources much higher than the number of physical elements. In this talk, we discuss techniques based on dual and multiple frequencies which allow the co-prime receiver array to handle a higher number sources in the field of view compared to its single-frequency counterpart. In particular, we employ dual and multiple frequencies to fill holes in a co-array array, creating a much longer aperture with consecutive elements, thereby enhancing DOA estimation performance. We also present ways to use dual co-prime frequencies to create virtual co-prime array from a linear uniform array. Several simulation examples are provided for both cases.
Dr. Amin is a Fellow of the Institute of Electrical and Electronics Engineers (IEEE), 2001; Fellow of the International Society of Optical Engineering, 2007; and a Fellow of the Institute of Engineering and Technology (IET), 2010. He is a Recipient of the IEEE Third Millennium Medal, 2000: Recipient of the 2009 Individual Technical Achievement Award from the European Association of Signal Processing; Recipient of the 2010 NATO Scientific Achievement Award; Recipient of the Chief of Naval Research Challenge Award, 2010; Recipient of Villanova University Outstanding Faculty Research Award, 1997; and the Recipient of the IEEE Philadelphia Section Award, 1997. He is the Chair of the Electrical Cluster of the Franklin Institute Committee on Science and the Arts. He has given Plenary Talks at ISSPIT-03, ICASSP-10, ACES-13, IET-13, EUSIPCO-13, STATOS-13, and Dr. Amin has over 700 journal and conference publications in the areas of Wireless Communications, Time-Frequency Analysis, Sensor Array Processing, Waveform Design and Diversity, Interference Cancellation in Broadband Communication Platforms, Satellite Navigations, Target Localization and Tracking, Direction Finding, Channel Diversity and Equalization, Ultrasound Imaging and Radar Signal Processing. He co-authored 18 book chapters and is the Editor of two books on Radar Imaging. He is a recipient of eight paper award, and holds two US Patents on Smart Antennas.