175 research outputs found
Power and timing parameter estimation of multiple cyclostationary signals from sensor array data
No full textInterference suppression in SS systems: a comparison between PTV P/S-type and W-type filters
No full textPublication in the conference proceedings of EUSIPCO, Rhodes, Greece, 199
"Tecniche di ricezione spazio-temporali e di localizzazione per reti wireless mesh" nell'ambito del progetto PRIN 2005 "Reti Mesh Multi-Antenna basate su 802.16" (coordinatore nazionale Prof. E. Baccarelli)
No full textAttività T2.1: Codici spazio-tempo multiportante per canali a banda larga affetti da fading Attività T2.2: Architetture efficienti per ricevitori ad antenne multiple Attività T2.3: Tecniche con antenne intelligenti Attività T3.6: Strato di connessione mes
Tecniche di egualizzazione e soppressione di interferenza per sistemi digitali ad elevata capacità
No full textTwo-stage interference-resistant adaptive PTV-CMA blind equalization
No full textWe consider the problem of blindly equalizing a digital communication signal distorted by a linear time-invariant channel and contaminated by severe co-channel or adjacent-channel digital interference under the assumption that the latter exhibits a different symbol rate from the desired signal. The proposed equalizer is composed of two stages that are both periodically time-varying (PTV) in order to better match the periodical statistics of the received signal. The first stage employs linear PTV filtering to mitigate interference, thus allowing the second stage, based on the constant modulus algorithm (CMA), to reliably recover the transmitted information symbols. Computer simulations confirm the effectiveness of the new approach, and comparisons with existing blind methods show that a significant performance gain can be attained
Blind signal extraction based on higher-order cyclostationarity properties
No full textThe paper deals with signal extraction performed by processing data received by an array of sensors. The proposed method is blind, i.e., it does not require any a priori knowledge of directional information associated with the signals of interest (SOI's). Such information is obtained directly from the received data by exploiting the higher-order cyclostationarity (HOCS) properties exhibited by most communication signals. The proposed method is inherently tolerant to both possibly non-stationary Gaussian disturbances as well as non-Gaussian interferences not exhibiting the same HOCS properties presented by the SOI's. Simulation results confirm the effectiveness of the method when it operates in severely degraded disturbance environments
Cyclostationarity-based coherent methods for wideband-signal source location
No full textWe propose a new approach for source localization of wideband signals impinging on an array of sensors. The proposed approach is signal-selective, i.e., it exploits the cyclostationarity property, exhibited by most communication signals, to discriminate signals of interest from noise and interfering ones. A coherent combination of the spatial contributions at different temporal frequencies is performed, and signal-subspace properties of the resulting focused matrix are exploited to obtain high-resolution source localization. Numerical results show that practical focusing techniques based on the new approach are superior to existing cyclic algorithms, also assuring good performances when the latter fail as, for example, when the signals of interest are fully correlated
Parameter estimation of multiple signals by exploitation of cyclic correlation properties
No full text- …
