Francesco Verde was born in Santa Maria Capua Vetere, Italy, in 1974. He received the Ph.D. (summa cum laude) degree in electronic engineering from the Second University of Napoli, Italy, in 1998, and the Ph.D. degree in information engineering from the University of Napoli Federico II, in 2002. Since 2002, he has been with the University of Napoli Federico II. He served as an Assistant Professor of Signal Theory and Mobile Communications and has been an Associate Professor of Telecommunications with the Department of Electrical Engineering and Information Technology since 2011. His research activities include cyclostationarity-based techniques for blind identification, equalization and interference suppression for narrowband modulation systems, code-division multiple-access systems, multicarrier modulation systems, space-time processing for co-operative and cognitive communications systems, and software-defined networks. He has served as an Associate Editor of the IEEE SIGNAL PROCESSINGLETTERS since 2014. He was an Associate Editor of the IEEE TRANSACTIONS ON SIGNAL PROCESSING from 2010 to 2014 and a Guest Editor of the EURASIP Journal on Advances in Signal Processing in 2010. Address: Via Claudio 21, Napoli
2006 IEEE International Conference on Acoustics Speed and Signal Processing Proceedings, 2000
ABSTRACT Constrained optimization techniques, based on the maximum signal-to-noise-plus-interfere... more ABSTRACT Constrained optimization techniques, based on the maximum signal-to-noise-plus-interference (SINR) criterion,, are considered for joint equalization and narrowband interference (NBI) suppression in orthogonal frequency-division multiplexing (OFDM) systems. Specifically, we show that a recently proposed linear receiver (D. Darsena et al., 2005), which mitigates, in the minimum mean-output-energy sense, the NBI contribution at the receiver output, can be regarded as the solution of a constrained maximum-SINR optimization criterion and, moreover, admits an interesting three-stage decomposition. This decomposition improves the receiver robustness against errors in the estimated statistics of the received data and, most important, allows one to greatly simplify the channel estimation problem. Computer simulations are earned out to illustrate the performance improvements achievable by adopting the constrained maximum-SINR equalizer, in comparison with its unconstrained counterpart
Conference Record of the Thirty-Sixth Asilomar Conference on Signals, Systems and Computers, 2002., 2000
ABSTRACT This paper deals with blind multiuser detection for asynchronous multicarrier code-divis... more ABSTRACT This paper deals with blind multiuser detection for asynchronous multicarrier code-division multiple-access (MC-CDMA) systems. A two-stage linear multiuser detector is proposed, where the first stage performs preliminary disturbance mitigation, allowing thus the second stage, based on the constant modulus algorithm (CMA), to operate with nearly disturbance-free data. The proposed receiver is totally blind, since it needs only a coarse synchronization to the desired user's transmission and knowledge of its spreading code. The effectiveness of the proposed approach is corroborated by computer simulation results, which show that, even with small sample size values, the proposed detector achieves performances close to (and often superior than) those of the non-blind minimum-mean-square error (MMSE) receiver.
2015 IEEE Metrology for Aerospace (MetroAeroSpace), 2015
ABSTRACT This paper deals with the synthesis of a blind channel shortening algorithm for orthogon... more ABSTRACT This paper deals with the synthesis of a blind channel shortening algorithm for orthogonal frequency-division multiplexing (OFDM) systems operating over doubly selective wireless channels, a challenging scenario that is likely to happen in modern unmanned aircraft systems (UASs) data links. When the length of the OFDM cyclic prefix (CP) is smaller than the channel order, we propose to employ a blind linear time-varying (LTV) time-domain equalizer, which shortens the channel impulse response of the channel in the minimum mean-output energy (MMOE) sense, requiring only estimation of the second-order statistics of the received data. The equalizer design leverages on the complex-exponential (CE) basis expansion model (BEM) for the doubly selective channel, which naturally leads to a frequency-shift (FRESH) filter implementation. Monte Carlo computer simulations are carried out to assess the effectiveness of the proposed FRESH-MMOE channel shortener.
2014 European Conference on Networks and Communications (EuCNC), 2014
ABSTRACT We consider a wireless cooperative network, where communication between a source-destina... more ABSTRACT We consider a wireless cooperative network, where communication between a source-destination pair is assisted by multiple relaying nodes. To cope with the wideband nature of the wireless channel, all network nodes are equipped with multiple antennas and employ orthogonal frequency-division multiplexing (OFDM) modulation. Leveraging on an approximate yet accurate performance analysis of the network, carried out in terms of symbol error probability (SEP), a closed-form minimum-SEP optimal design of precoding and relaying matrices is proposed, which allows one to fully exploit the distributed diversity inherent to the cooperative approach, but requires accurate channel state information at the source and the relays. Monte Carlo numerical results are provided to assess the performance advantages that can be achieved by the proposed design.
2006 IEEE International Conference on Acoustics Speed and Signal Processing Proceedings, 2000
ABSTRACT Constrained optimization techniques, based on the maximum signal-to-noise-plus-interfere... more ABSTRACT Constrained optimization techniques, based on the maximum signal-to-noise-plus-interference (SINR) criterion,, are considered for joint equalization and narrowband interference (NBI) suppression in orthogonal frequency-division multiplexing (OFDM) systems. Specifically, we show that a recently proposed linear receiver (D. Darsena et al., 2005), which mitigates, in the minimum mean-output-energy sense, the NBI contribution at the receiver output, can be regarded as the solution of a constrained maximum-SINR optimization criterion and, moreover, admits an interesting three-stage decomposition. This decomposition improves the receiver robustness against errors in the estimated statistics of the received data and, most important, allows one to greatly simplify the channel estimation problem. Computer simulations are earned out to illustrate the performance improvements achievable by adopting the constrained maximum-SINR equalizer, in comparison with its unconstrained counterpart
Conference Record of the Thirty-Sixth Asilomar Conference on Signals, Systems and Computers, 2002., 2000
ABSTRACT This paper deals with blind multiuser detection for asynchronous multicarrier code-divis... more ABSTRACT This paper deals with blind multiuser detection for asynchronous multicarrier code-division multiple-access (MC-CDMA) systems. A two-stage linear multiuser detector is proposed, where the first stage performs preliminary disturbance mitigation, allowing thus the second stage, based on the constant modulus algorithm (CMA), to operate with nearly disturbance-free data. The proposed receiver is totally blind, since it needs only a coarse synchronization to the desired user's transmission and knowledge of its spreading code. The effectiveness of the proposed approach is corroborated by computer simulation results, which show that, even with small sample size values, the proposed detector achieves performances close to (and often superior than) those of the non-blind minimum-mean-square error (MMSE) receiver.
2015 IEEE Metrology for Aerospace (MetroAeroSpace), 2015
ABSTRACT This paper deals with the synthesis of a blind channel shortening algorithm for orthogon... more ABSTRACT This paper deals with the synthesis of a blind channel shortening algorithm for orthogonal frequency-division multiplexing (OFDM) systems operating over doubly selective wireless channels, a challenging scenario that is likely to happen in modern unmanned aircraft systems (UASs) data links. When the length of the OFDM cyclic prefix (CP) is smaller than the channel order, we propose to employ a blind linear time-varying (LTV) time-domain equalizer, which shortens the channel impulse response of the channel in the minimum mean-output energy (MMOE) sense, requiring only estimation of the second-order statistics of the received data. The equalizer design leverages on the complex-exponential (CE) basis expansion model (BEM) for the doubly selective channel, which naturally leads to a frequency-shift (FRESH) filter implementation. Monte Carlo computer simulations are carried out to assess the effectiveness of the proposed FRESH-MMOE channel shortener.
2014 European Conference on Networks and Communications (EuCNC), 2014
ABSTRACT We consider a wireless cooperative network, where communication between a source-destina... more ABSTRACT We consider a wireless cooperative network, where communication between a source-destination pair is assisted by multiple relaying nodes. To cope with the wideband nature of the wireless channel, all network nodes are equipped with multiple antennas and employ orthogonal frequency-division multiplexing (OFDM) modulation. Leveraging on an approximate yet accurate performance analysis of the network, carried out in terms of symbol error probability (SEP), a closed-form minimum-SEP optimal design of precoding and relaying matrices is proposed, which allows one to fully exploit the distributed diversity inherent to the cooperative approach, but requires accurate channel state information at the source and the relays. Monte Carlo numerical results are provided to assess the performance advantages that can be achieved by the proposed design.
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Papers by Francesco Verde