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 TM; 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 from N 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 Doi Bibtex

Title:Detection of the number of superimposed signals using modified mdl Criterion: a random matrix approach
Keywords:Detection, Number of Signals, MDL, Gestimation, Random Matrix Theory
Type:Conference
Language:English
City:Shanghai
Country:CHINA
Date:
Department:Communication systems
Eurecom ref:4789
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Bibtex: @inproceedings{EURECOM+4789, doi = {http://dx.doi.org/10.1109/ICASSP.2016.7472547}, year = {2016}, title = {{D}etection of the number of superimposed signals using modified mdl {C}riterion: a random matrix approach}, author = {{B}azzi, {A}hmad and {S}lock, {D}irk {TM} and {M}eilhac, {L}isa}, booktitle = {{ICASSP} 2016, 41st {IEEE} {I}nternational {C}onference on {A}coustics, {S}peech and {S}ignal {P}rocessing, 20-25 {M}arch 2016, {S}hangai, {C}hina}, address = {{S}hanghai, {CHINA}}, month = {03}, url = {http://www.eurecom.fr/publication/4789} }
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