CentraleSupélec

About: CentraleSupélec is a based out in . It is known for research contribution in the topics: MIMO & Wireless network. The organization has 1330 authors who have published 2344 publications receiving 30533 citations. The organization is also known as: CentraleSupelec & CentraleSupelec of the Paris-Saclay University.

Change Detection in Multilook Polarimetric SAR Imagery With Determinant Ratio Test Statistic

Abstract: In this article, we propose a determinant ratio test (DRT) statistic to measure the similarity of two covariance matrices for unsupervised change detection in polarimetric radar images. The multilook complex covariance matrix is assumed to follow a scaled complex Wishart distribution. In doing so, we provide the distribution of the DRT statistic that is exactly Wilks's lambda of the second kind distribution, with density expressed in terms of Meijer G-functions. Due to this distribution, the constant false alarm rate (CFAR) algorithm is derived in order to achieve the required performance. More specifically, a threshold is provided by the CFAR to apply to the DRT statistic producing a binary change map. Finally, simulated and real multilook polarimetric SAR (PolSAR) data are employed to assess the performance of the method and is compared with the Hotelling-Lawley trace (HLT) statistic and the likelihood ratio test (LRT) statistic.

Tensor-Train Modeling for Mimo-OFDM Tensor Coding-and-Forwarding Relay Systems

Abstract: In this paper, we consider a new one-way two-hop amplify-and-forward (AF) relaying scheme with a tensor space-time coding under frequency-selective fading channels. The signals received at the destination of the multi-input multi-output (MIMO) system define a 6-order tensor which satisfies a tensor-train decomposition (TTD). We propose a new TTD based receiver for a joint channel and symbol estimation. The proposed receiver avoids the use of long training sequences and resort to very few pilots to provide unique estimates of the individual channel matrices and the symbol matrix. Numerical simulations show the performance of the new proposed TTD-based semi-blind receiver.

Experimental assessment of qualitative microwave imaging using a 3-D realistic breast phantom

Abstract: In this work we present an experimental study of qualitative microwave imaging algorithms for breast cancer detection All the experiments are carried out with a 3-D printed realistic breast phantom filled with designed tissue mimicking liquids In the following, the first experimental results using the Truncated Singular Value Decomposition (TSVD) scheme and the Linear Sampling Method (LSM) reconstructions are reported

Experiments on COTS Diversity as an Intrusion Detection and Tolerance Mechanism

Abstract: COTS (Components-Off-The-Shelf) diversity has been proposed by many recent projects to ensure intrusion detection and tolerance. However using COTS in a N-version architecture presents some drawbacks, especially in intrusion detection, which have consequences on intrusion tolerance. COTS Diversity is prone to raise many false positives (false alerts). In this article, we explain what a COTS Diversity architecture can detect and propose a masking mechanism to reduce the false positive rate. We apply this method to web servers and provide some experimental results that confirm the necessity of this mechanism.