Dipartimento di Ingegneria dell'Informazione
Via G. Caruso 16, 56122 Pisa

Corso di Laurea in Ingegneria delle Telecomunicazioni

 
 

Research Activity

My research activities focus on problems of statistical signal processing with particular attention to radar applications.

The main past and present research themes can be grouped as follows:

 
Modeling and statistical analysis of recorded sea and ground radar clutter data
The performance of ground-based surveillance radars strongly depends on the presence of undesired objects, clutter in the radar jargon. For many years, in radars with low resolution capabilities, the clutter echoes were considered as having a Gaussian probability density function. In modern radar systems operating at low grazing angle or with high resolution, the statistics of the clutter have been observed to deviate from Gaussianity. The disturbance is spiky and the spikes are detected and processed by the tracking algorithms. The understanding of clutter behavior and the modeling of the non-Gaussian clutter, both in the spectrum and in the distribution, are problems of fundamental interest in the radar community for successful radar design and performance prediction. To design signal processing algorithms that exploit the amplitude and correlation knowledge of sea and ground clutter, a preliminary statistical analysis is necessary under different operational conditions.
Detection and estimation of radar signals in non-Gaussian clutter
Modern radar systems generally operate in non-homogeneous and non-stationary clutter environment. In this condition the clutter is non-Gaussian. While the radar detection against Gaussian disturbance has been largely investigated in the past, the coherent detection of target against a background of non-Gaussian distributed clutter is a problem that has gained importance in the radar community only in the last decade. Then, according to the adopted disturbance model, optimum and sub-optimum detectors have to be designed and their performance has to be analyzed against a non-Gaussian background.
Detection and estimation of multiple radar targets
In most of modern radar systems, the target direction of arrival (DOA) is estimated by the monopulse technique, which in principle can work with just a single pulse, but when multiple targets are present in the range-azimuth cell under test, the monopulse system provides an erroneous DOA measure, somewhere in the direction of the "power centroid" of all the targets. The research concerns the problem of detecting and estimating multiple radar targets present in the same range-azimuth resolution cell of a surveillance radar system with a mechanically rotating antenna.
Radar detection of deception jamming signals
Electronic countermeasure (ECM) techniques against tracking radar are often enhanced by using radio frequency digital memory (DRFM). The DRFM is a device in which high-speed sampling digital memory is used for storage and recreation of radio frequency signals in order to deceive hostile radar systems. In a DRFM system, the input RF signal is generally first down-shifted in frequency and then sampled with a high-speed analog-to-digital converter (ADC). The samples are stored in memory and they can be manipulated in ampli-tude, frequency and phase to generate a wide range of jam-ming signals. The stored samples are later recalled, processed by the digital-to-analog converter (DAC), up con-verted and transmitted back to the victim radar. The research concerns the problem of detecting and classifying a radar target against deception jamming signals in presence of colored Gaussian noise.
Modeling, estimation and classification of sounds generated by marine mammals
Dolphins have a rich vocal repertoire that has been categorized into three classes: 1) broadband, short-duration clicks, called sonar clicks, used in echolocation for orientation, perception, and navigation; 2) wideband pulsed sounds, called burst pulses, used in social contexts and 3) narrowband frequency-modulated whistles also used in social contexts. The carried out research has been devoted to the analysis and modeling of echolocation signals and whistles emitted by the Tursiops Truncatus (bottlenose dolphin) living in the Tuscany Archipelago Park in both audio and ultrasonic bands.
 

 

 
Scientific co-operations
Dr. Barry J. Billingsley Massachusetts Institute of Technology, Lincoln Laboratory, Lexington, Massachusetts, USA  
Prof. Alfonso Farina SELEX - Sistemi Integrati, Rome, Italy  
Prof. Georgios B. Giannakis Department of Electrical and Computer Engineering, University of Minnesota, Minneapolis, MN, USA Homepage
Dr. Peter H. Lee TRW, Space & Technology Division, Space & Electronics Group, Redondo Beach, CA, USA Homepage
Prof. Pierfrancesco Lombardo Department “INFOCOM”, Università di Roma “La Sapienza”, Roma, Italia  
Dr. Maurizio Murroni University of Cagliari, Cagliari, Italy Homepage
Dr. Muralidhar Rangaswamy Air Force Research Laboratory, Rome, USA  
Dr. Kevin J. Sangston Electromagnetics Application Lab, Georgia Tech Research Institute, Atlanta, GA, USA  
Prof. Tong G. Zhou School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA Homepage
Prof. Simon Haykin McMaster University, Hamilton, Ontario, Canada  
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