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Array processing and underwater communications Prof. Geert Leus 18 hours, 5 credits September 20 - September 22, 2011 Dipartimento di Ingegneria dell'Informazione: Elettronica, Informatica, Telecomunicazioni, via Caruso, meeting room, ground floor Contacts: Ing. Vincenzo Lottici
Abstract This series of lessons consists of two parts. In the first part, we will focus on array processing for wireless communications, whereas in the second part, we will introduce the field of underwater communications and we will give an overview of some of the latest trends in this field. In the first part, we discuss techniques for signal separation and parameter estimation, using an array of antennas, and applied to wireless communications. We start by deriving a signal processing model of the wireless channel. This gives us the required mathematical framework to look at some symbol estimation algorithms, such as the zero-forcing receiver and the minimum mean-squared error receiver (viewing the model either as a single-user or a multi-user model). We will further also look at adaptive space-time filters, and study the estimation of angles and delays using MUSIC and ESPRIT. Finally, we will discuss the constant modulus algorithm, which is able to exploit the constant modulus property of the data symbols. In the second part, we will focus on acoustic underwater communications. We will first describe the underwater propagation channel, which is characterized by severe delay and Doppler spreads, and significantly differs from the wireless propagation channel. We will then focus on some state-of-the-art coherent modulation and receiver techniques for this channel. More specifically, we will look at some recent advances in receiver design for single-carrier as well as multi-carrier modulation for underwater communications. Finally, we will give a multi-scale multi-lag view of the channel, which yields a good basis for novel transceiver designs. Syllabus
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