Graduate School and Research Center in Digital Sciences

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

Title:Detection of the number of superimposed signals using modified MDL criterion: A random matrix approach
Type:Poster / Demo
Language:English
City:Shangai
Country:CHINA
Date:
Department:Communication systems
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, {CHINA}}, url = {http://www.eurecom.fr/publication/4865} }
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