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In this paper, we analyze the performances of the Cell Averaging based on Lookup Tables (CA-LT) detector considering distributed targets embedded in Pareto distributed clutter. Assuming that the clutter parameters are not a priori known, the detector's structure is associated to an estimation approach that estimates the clutter parameters. The latter are used to select the suitable threshold factor...
In this paper, we propose to analyze the performances of the Multiple pulse Cell Averaging based on Lookup Tables detector (M-pulse CA-LT), considering range spread targets embedded in Non Gaussian clutter. Under the assumption of Weibull clutter samples with unknown parameters, we introduce the pulse-to-pulse Moments (MOM) estimation approach. The latter estimates the shape and the scale parameter...
The paper deals with detection of range spread targets embedded in K-distributed clutter with unknown parameters. A two-step detection algorithm based on multiple-pulse cell-averaging scheme and using lookup tables is proposed. First, the threshold factors that maintain a constant probability of false alarm for various clutter parameters are offline computed and stored. Then, at the detection stage,...
The paper deals with detection of distributed targets embedded in compound Gaussian clutter, with Inverse Gamma texture. The proposed detectors are based on Lookup Tables containing threshold factors that maintain a Constant Probability of False Alarm (Pfa). The clutter parameters are estimated online to select the suitable factor to be used in the binary hypothesis test. We model the target energy...
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