Ecole d'ingénieur et centre de recherche en Sciences du numérique

Detection of the number of superimposed signals using modified MDL criterion: A random matrix approach

Bazzi, Ahmad; Slock, Dirk T.M; Meilhac, Lisa

ICASSP 2016, 41st IEEE International Conference on Acoustics, Speech and Signal Processing, 20-25 March 2016, Shangai, China

The problem of estimating the number of superimposed signals using noisy observations fromN antennas is addressed. In particular, we are interested in the case where a low number of snapshots L = O(N) is available. We focus on the Minimum Description Length (MDL) estimator, which is revised herein. Furthermore, we propose a modified MDL estimator, with the help of random matrix tools, which improves the estimation of the number of sources. Simulation results demonstrate the potential of the modified MDL estimator over the traditional one, in the case where L = O(N).

Document Bibtex

Titre:Detection of the number of superimposed signals using modified MDL criterion: A random matrix approach
Type:Poster / Demo
Langue:English
Ville:Shangai
Pays:CHINE
Date:
Département:Systèmes de Communication
Eurecom ref:4865
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Bibtex: @poster / demo{EURECOM+4865, year = {2016}, title = {{D}etection of the number of superimposed signals using modified {MDL} criterion: {A} random matrix approach}, author = {{B}azzi, {A}hmad and {S}lock, {D}irk {T}.{M} and {M}eilhac, {L}isa}, number = {EURECOM+4865}, month = {03}, institution = {Eurecom} address = {{S}hangai, {CHINE}}, url = {http://www.eurecom.fr/publication/4865} }
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