Experimental Evaluation of Radar Waveforms for Spectral Coexistence Using the PARSAX Radar & Power-Aperture Resource Allocation for a MPAR with Communications Capabilities
The “SICE Forum” hosted by the School of Information and Communication Engineering has invited Prof. Antonio De Maio of University of Naples Federico II to conduct academic exchanges. Interested Students and faculty members are welcome to attend.
Topic 1：Experimental Evaluation of Radar Waveforms for Spectral Coexistence Using the PARSAX Radar
Time: 14:30-15:00 (Thursday), July 6, 2023
Venue: Research Building Block B, 302 (KB302), Qingshuihe Campus
Speaker: Prof. Antonio De Maio (IEEE Fellow, University of Naples Federico II)
Host: Prof. Guolong Cui, School of Information and Communication Engineering
Introduction:This paper investigates the possibility of transmitting waveforms designed to enable spectral coexistence between radar and other Radio Frequency (RF) wireless systems via a Software Defined Radar (SDR). The design technique tested in this study nominally enables the placement of notches in the spectrum of the synthesized probing radar signal. Their widths and depths are set during the design stage so as to accounting for the interference into each shared frequency interval, allowing for spectral coexistence. At the assessment stage, the synthesized signal is used with the PARSAX radar system, an SDR capable of operating in the S frequency band. The analysis first focuses on studying the compliance of the signal generated by the PARSAX radar with its theoretical counterpart. Subsequently, open-air experiments are conducted in the presence of stationary and moving targets. The results show that the spectral characteristics of the probing radar signal adhere well to the theoretical spectral mask, and prove the system ability to detect both stationary and moving targets.
Topic 2：Power-Aperture Resource Allocation for a MPAR with Communications Capabilities
Time: July 6, 2023 (Thursday) 15:00~16:30
Venue: Research Building Block B, 302 (KB302), Qingshuihe Campus
Speaker:Prof. Antonio De Maio(IEEE Fellow,University of Naples Federico II)
Host: Prof. Guolong Cui, School of Information and Communication Engineering
Introduction：
Multifunction phased array radars (MPARs) exploit the intrinsic flexibility of their active electronically steered array (ESA) to perform, at the same time, a multitude of operations, such as search, tracking, fire control, classification, and communications. This paper aims at addressing the MPAR resource allocation so as to satisfy the quality of service (QoS) demanded by both line of sight (LOS) and non line of sight (NLOS) search operations along with communications tasks. To this end, the ranges at which the cumulative detection probability and the channel capacity per bandwidth reach a desired value are introduced as task quality metrics for the search and communication functions, respectively. Then, to quantify the satisfaction level of each task, for each of them a bespoke utility function is defined to map the associated quality metric into the corresponding perceived utility. Hence, assigning different priority weights to each task, the resource allocation problem, in terms of radar power aperture (PAP) specification, is formulated as a constrained optimization problem whose solution optimizes the global radar QoS. Several simulations are conducted in scenarios of practical interest to prove the effectiveness of the approach.
Speaker’s Profile：
Antonio De Maio (S'01-A'02-M'03-SM'07-F'13) was born in Sorrento, Italy, on June 20, 1974. He received the Dr.Eng. degree (with honors) and the Ph.D. degree in information engineering, both from the University of Naples Federico II, Naples, Italy, in 1998 and 2002, respectively. From October to December 2004, he was a Visiting Researcher with the U.S. Air Force Research Laboratory, Rome, NY. From November to December 2007, he was a Visiting Researcher with the Chinese University of Hong Kong, Hong Kong. Currently, he is a Professor with the University of Naples Federico II. His research interest lies in the field of statistical signal processing, with emphasis on radar detection and optimization theory applied to radar signal processing. Dr. De Maio is a Fellow member of IEEE and the recipient of the 2010 IEEE Fred Nathanson Memorial Award as the young (less than 40 years of age) AESS Radar Engineer 2010 whose performance is particularly noteworthy as evidenced by contributions to the radar art over a period of several years, with the following citation for "robust CFAR detection, knowledge-based radar signal processing, and waveform design and diversity".
Organizer：School of Information and Communication Engineering
