Research Article
A Novel Accurate Source Number Estimation Method Based on GBSA-MDL Algorithm
@INPROCEEDINGS{10.1007/978-3-319-78139-6_39, author={Taha Bouras and Di He and Fei Wen and Peilin Liu and Wenxian Yu}, title={A Novel Accurate Source Number Estimation Method Based on GBSA-MDL Algorithm}, proceedings={Communications and Networking. 12th International Conference, ChinaCom 2017, Xi’an, China, October 10-12, 2017, Proceedings, Part II}, proceedings_a={CHINACOM}, year={2018}, month={4}, keywords={Source number estimation methods Minimum Description Length (MDL) General asymptotic case Optimization Galaxy Based Search Algorithm (GBSA)}, doi={10.1007/978-3-319-78139-6_39} }- Taha Bouras
Di He
Fei Wen
Peilin Liu
Wenxian Yu
Year: 2018
A Novel Accurate Source Number Estimation Method Based on GBSA-MDL Algorithm
CHINACOM
Springer
DOI: 10.1007/978-3-319-78139-6_39
Abstract
Several classical source number estimation methods have been proposed in the past based on information theoretic criteria such as minimum description length (MDL). However, in most known real applications there is a scenario in which the number of sensors goes to infinity at the same speed as the number of snapshots (general asymptotic case) which yields to a blind performance for the classical MDL and results in an inaccurate source number estimation. Accordingly, in this work, the Galaxy Based Search Algorithm (GBSA) is modified and applied with the MDL criteria in order to optimize and correct the detection of source number under such sample-starving case. Simulation results show that the proposed GBSA-MDL based method gives reliable results compared to several used source number estimation methods.
