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20192022
most citedImpact of covariance mismatched training samples on constant false alarm rate detectors

7 citations · 7 across the 4 of their papers we have counts for

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6 papers · 1 filter

eess.SP2022

Partially adaptive filtering using randomized projections

Olivier Besson

This short note addresses the design of a partially adaptive filter to retrieve a signal of interest in the presence of strong low-rank interference and thermal noise. We consider…

eess.SP2021

A short overview of adaptive multichannel filters SNR loss analysis

Olivier Besson

Many multichannel systems use a linear filter to retrieve a signal of interest corrupted by noise whose statistics are partly unknown. The optimal filter in Gaussian noise requires…

eess.SP2020

Analysis of the SNR loss distribution with covariance mismatched training samples

Olivier Besson

We analyze the distribution of the signal to noise ratio (SNR) loss at the output of an adaptive filter which is trained with samples that do not share the same covariance matrix a…

eess.SP2020

Sub-pixel detection in hyperspectral imaging with elliptically contoured -distributed background

Olivier Besson, François Vincent

Detection of a target with known spectral signature when this target may occupy only a fraction of the pixel is an important issue in hyperspectral imaging. We recently derived the…

eess.SP2019

Adaptive Detection of Coherent Radar Targets in the Presence of Noise Jamming

Pia Addabbo, Olivier Besson, Danilo Orlando +1

In this paper, we devise adaptive decision schemes to detect targets competing against clutter and smart noise-like jammers (NLJ) which illuminate the radar system from the sidelob…

eess.SP2019

Design of robust radar detectors through random perturbation of the target signature

Angelo Coluccia, Giuseppe Ricci, Olivier Besson

The paper addresses the problem of designing radar detectors more robust than Kelly's detector to possible mismatches of the assumed target signature, but with no performance degra…