Year: 2023
Type: conference-paper
Abstract: This article proposes a method for estimating the number of signals with high-dimensional low sample size. The inspiration for the method comes from testing whether the covariance matrix is spherical when the sample size is less than the dimension. The test statistic consists of the first four moments of sample eigenvalues and relaxes the assumption of Gaussian distribution. Based on the generalized BIC, the expression for determining the number of source signals is given. Simulation results demonstrate that the proposed method has a high probability of detection in both the Gaussian and the non-Gaussian noises and performs better than some existing methods.
Authors: Shoucheng Yuan, Bin Zhang, Junjie Wang
Institutions: Puer University, Guangxi Normal University
Language: English
Subfield: Signal Processing
Field: Computer Science
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W4380628792