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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…

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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…

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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…

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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…

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