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Radar detection algorithm for GARCH clutter model
(Elsevier Inc, 2013-07)
We propose a GARCH model to represent the clutter in radar applications. We fit this model to real sea clutter data and we show that it represents adequately the statistics of the data. Then, we develop a detection test ...
Design of a clutter modelling algorithm based on SRTM DEM Data and adaptive signal processing methods
(IAHS Publ., 2012-02)
This paper presents a robust algorithm for clutter modelling based on the radar equation, radar
characteristics and digital elevation data. Optimization methods from adaptive signal processing theory were
used to calculate ...
Non-linear Kalman filters comparison for generalised autoregressive conditional heteroscedastic clutter parameter estimation
(Institution of Engineering and Technology, 2019-08-01)
In this work, the authors analyse the estimation of the generalised autoregressive conditional heteroscedastic (GARCH) process conditional variance based on three non-linear filtering approaches: extended Kalman filter ...
Adaptive Radar Detection Algorithm Based on an Autoregressive GARCH-2D Clutter Model
(Institute of Electrical and Electronics Engineers, 2014-06)
We propose a model for radar clutter that combinesan autoregressive (AR) process with a two-dimensional generalizedautoregressive conditional heteroscedastic (GARCH-2D) process.Based on this model, we derive an adaptive ...