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).


DOI
Type:
Conférence
City:
Shanghai
Date:
2016-03-20
Department:
Systèmes de Communication
Eurecom Ref:
4789
Copyright:
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