Catalog Journals

• Soft- and hard-decision multiple-model estimators for air traffic control

  Publication

  • Z. Kowalczuk
  • M. Sankowski

  - IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS - Year 2010

  Analizuje się problem śledzenia samolotów cywilnych manewrowania w zapewnianiu kontroli ruchu lotniczego (ATC) systemów za pomocą wielomodelowej (MM) estymacji stanu. Budując odpowiedni zestaw modeli manewrowania można opisać, jak różne manewry wpływają na proces oceny stanu wykonywany przez filtr Kalmana (KF) w oparciu o model ruchu bezmanerwowego. Metodologia ta prowadzi do podsystemu diagnostycznego, który wspiera estymator...

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• Fast clutter cancellation for noise radars via waveform design

  Publication

  • M. Meller

  - IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS - Year 2014

  Canceling clutter is an important, but very expensive part of signal processing in noise radars. It is shown that considerable improvements can be made to a simple least squares canceler if minor constraints are imposed onto noise waveform. Using a combination of FPGA and CPU, the proposed scheme is capable of canceling both stationary clutter and moving targets in real-time, even for high sampling rates.

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• Robustified estimators of radar elevation angle using a specular multipath model

  Publication

  • M. Meller
  • K. Stawiarski

  - IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS - Year 2019

  We consider the problem of estimating the elevation angle in the presence of multipath. The proposed method belongs to the class of maximum likelihood-like estimators and employs a modified specular reflection model that accounts for the uncertainty of the steering vector by assuming that they are subject to unknown deterministic perturbations with bounded norms. The analysis, performed using convex optimization methods, allows...

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• On Bayesian Tracking and Prediction of Radar Cross Section

  Publication

  • M. Meller

  - IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS - Year 2018

  We consider the problem of Bayesian tracking of radar cross section. The adopted observation model employs the gamma family, which covers all Swerling cases in a unified framework. State dynamics are modeled using a nonstationary autoregressive gamma process. The principal component of the proposed solution is a nontrivial gamma approximation, applied during the time update recursion. The superior performance of the proposed approach...

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