Open AccessImproved MDL method for estimation of source number at subarray level
Author(s) -
Yang Xiaopeng,
Li Shuai,
Hu Xiaona,
Zeng Tao
Publication year - 2016
Publication title -
electronics letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.375
H-Index - 146
ISSN - 1350-911X
DOI - 10.1049/el.2015.2804
Subject(s) - minimum description length , covariance matrix , noise (video) , computer science , algorithm , channel (broadcasting) , power (physics) , mathematics , statistics , noise power , pattern recognition (psychology) , artificial intelligence , telecommunications , physics , quantum mechanics , image (mathematics)
The eigenvalue‐based minimum description length (MDL) method for source number estimation is widely applied in practical scenarios. However, the performance of the MDL method degrades significantly when it is applied to an asymmetrical subarray situation due to the inequality of the noise power of each channel. Therefore, an improved MDL method for subarray level is proposed by normalising noise power to reconstruct the received signal covariance matrix. Simulation results show that the proposed method outperforms the conventional source number estimation methods for a subarray situation.