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

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

ICASSP 2016accepted0 citations

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

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

Abstract

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).

BibTeX

@inproceedings{icassp2016_detectionofthenu,
  title = {Detection of the number of superimposed signals using modified MDL criterion: A random matrix approach},
  author = {Ahmad Bazzi and Dirk T. M. Slock and Lisa Meilhac},
  booktitle = {ICASSP 2016},
  year = {2016}
}