Now showing items 1-3 of 3

    • Adaptive filtering of imprecisely time-stamped measurements with application to AIS networks 

      Millefiori, Leonardo; Braca, Paolo; Bryan, Karna; Willett, Peter K. (CMRE, 2019/06)
      Driven by real-world issues in maritime surveillance, we consider the problem of estimating the target state from a sequence of observations that can be imprecisely time-stamped. That is, the time between two consecutive ...
    • Adaptive sub-band processing in active detection and tracking 

      Baldacci, Alberto; Haralabus, Georgios; Coraluppi, Stefano; Prior, Mark K. (NURC, 2007/11)
      Broadband active systems have the potential to increase detection performance in reverberation-limited areas through increased signal bandwidth, i.e. small resolution cell. However, large bandwidth could over-resolve the ...
    • Bayesian multi-class covariance matrix filtering for adaptive environment learning 

      Braca, Paolo; Aubry, Augusto; Millefiori, Leonardo; De Maio, Antonio; Marano, Stefano (CMRE, 2019/05)
      Covariance matrix estimation is a crucial task in adaptive signal processing applied to several surveillance systems, including radar and sonar. In this paper we propose a dynamic environment learning strategy to track ...