Please wait, while we are loading the content...
Please wait, while we are loading the content...
| Content Provider | IET Digital Library |
|---|---|
| Author | Decurninge, Alexis Barbaresco, Frédéric |
| Abstract | The authors address the estimation of the scatter matrix of a scale mixture of Gaussian stationary autoregressive (AR) vectors. This is equivalent to consider the estimation of a structured scatter matrix of a spherically invariant random vector whose structure comes from an AR modelisation. The Toeplitz structure representative of stationary models is a particular case for the class of structures they consider. For Gaussian AR processes, Burg method is often used in case of stationarity for its efficiency when few samples are available. Unfortunately, if they directly apply these methods to estimate the common scatter matrix of N vectors coming from a non-Gaussian distribution, their efficiency will strongly decrease. They propose then to adapt these methods to scale mixtures of AR vectors by changing the energy functional minimised in the Burg algorithm. Moreover, they study several approaches of robust modification of the introduced Burg algorithms, based on Fréchet medians defined for the Euclidean or the Poincaré metric, in presence of outliers or contaminating distributions. The considered structured modelisation is motivated by radar applications, the performances of their methods will then be compared with the very popular fixed point (FP) estimator and OS-CFAR detector through radar simulated scenarios. |
| Starting Page | 78 |
| Ending Page | 89 |
| Page Count | 12 |
| ISSN | 17518784 |
| Volume Number | 11 |
| e-ISSN | 17518792 |
| Issue Number | Issue 1, Jan (2017) |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/iet-rsn/11/1 |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/iet-rsn.2016.0042 |
| Journal | IET Radar, Sonar & Navigation |
| Publisher Date | 2016-05-24 |
| Access Restriction | Open |
| Rights Holder | © The Institution of Engineering and Technology |
| Subject Keyword | Autoregressive Processes Autoregressive Structured SIRV Fréchet Medians Gaussian AR Processes Gaussian Stationary Autoregressive Vector Radar Application Radar Clutter Radar Equipment Radar Scatter Matrix Robust Burg Estimation Statistics System And Application |
| Content Type | Text |
| Resource Type | Article |
| Subject | Electrical and Electronic Engineering |
National Digital Library of India (NDLI) is a virtual repository of learning resources which is not just a repository with search/browse facilities but provides a host of services for the learner community. It is sponsored and mentored by Ministry of Education, Government of India, through its National Mission on Education through Information and Communication Technology (NMEICT). Filtered and federated searching is employed to facilitate focused searching so that learners can find the right resource with least effort and in minimum time. NDLI provides user group-specific services such as Examination Preparatory for School and College students and job aspirants. Services for Researchers and general learners are also provided. NDLI is designed to hold content of any language and provides interface support for 10 most widely used Indian languages. It is built to provide support for all academic levels including researchers and life-long learners, all disciplines, all popular forms of access devices and differently-abled learners. It is designed to enable people to learn and prepare from best practices from all over the world and to facilitate researchers to perform inter-linked exploration from multiple sources. It is developed, operated and maintained from Indian Institute of Technology Kharagpur.
Learn more about this project from here.
NDLI is a conglomeration of freely available or institutionally contributed or donated or publisher managed contents. Almost all these contents are hosted and accessed from respective sources. The responsibility for authenticity, relevance, completeness, accuracy, reliability and suitability of these contents rests with the respective organization and NDLI has no responsibility or liability for these. Every effort is made to keep the NDLI portal up and running smoothly unless there are some unavoidable technical issues.
Ministry of Education, through its National Mission on Education through Information and Communication Technology (NMEICT), has sponsored and funded the National Digital Library of India (NDLI) project.
| Sl. | Authority | Responsibilities | Communication Details |
|---|---|---|---|
| 1 | Ministry of Education (GoI), Department of Higher Education |
Sanctioning Authority | https://www.education.gov.in/ict-initiatives |
| 2 | Indian Institute of Technology Kharagpur | Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project | https://www.iitkgp.ac.in |
| 3 | National Digital Library of India Office, Indian Institute of Technology Kharagpur | The administrative and infrastructural headquarters of the project | Dr. B. Sutradhar bsutra@ndl.gov.in |
| 4 | Project PI / Joint PI | Principal Investigator and Joint Principal Investigators of the project |
Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon |
| 5 | Website/Portal (Helpdesk) | Queries regarding NDLI and its services | support@ndl.gov.in |
| 6 | Contents and Copyright Issues | Queries related to content curation and copyright issues | content@ndl.gov.in |
| 7 | National Digital Library of India Club (NDLI Club) | Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach | clubsupport@ndl.gov.in |
| 8 | Digital Preservation Centre (DPC) | Assistance with digitizing and archiving copyright-free printed books | dpc@ndl.gov.in |
| 9 | IDR Setup or Support | Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops | idr@ndl.gov.in |
|
Loading...
|