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Philippe Forster

4 accepted papers

2023

False Alarm Regulation for Off-Grid Target Detection With The Matched Filter

ICASSP 2023accepted

In the state-of-the-art, the Probability of False Alarm (P<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">FA</inf>)- threshold relationship for the popular Matched Filter (MF) is often derived assuming that unknown non-linear parameters lie on a grid. H…

Cited by 0SourceScholar
2022

On the False Alarm Probability of the Normalized Matched Filter for Off-Grid Target Detection

ICASSP 2022accepted

Off-grid targets are known to induce a mismatch that dramatically impacts the detection probability of the popular Normalized Matched Filter. To overcome this problem, the unknown target parameter is usually estimated through a Maximum Likelihood strategy resulting in a GLRT detection scheme. While…

Cited by 4SourceScholar
2019

An Improved Low Rank Detector in the High Dimensional Regime

ICASSP 2019accepted

This paper introduces an improved Low Rank Adaptive Normalized Matched Filter (LR-ANMF) detector in a high dimensional (HD) context where the observation dimension is large and of the same order of magnitude than the sample size. To that end, the statistical analysis of the LR-ANMF, in a context whe…

Cited by 0SourceScholar
2018

Efficient Estimation of Scatter Matrix with Convex Structure Under $T$ -Distribution

ICASSP 2018accepted

This paper addresses structured covariance matrix estimation under t -distribution. Covariance matrices frequently reveal a particular structure due to the considered application and taking into account this structure usually improves estimation accuracy. In the framework of robust estimation, the t…

Cited by 0SourceScholar