An interval estimation for the number of signals

Authors:
Pinyuen Chen
Affiliations:
Department of Mathematics, Syracuse University, Syracuse, NY
Venue:
Signal Processing
Year:
2005

Citing 3
Cited 1

On detection of the number of signals in presence of white noise

Journal of Multivariate Analysis
Screening among multivariate normal data

Journal of Multivariate Analysis
Development of a lower confidence limit for the number of signals

IEEE Transactions on Signal Processing

Multiple targets characterization of electromagnetic vulnerability

Signal Processing

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Abstract

We propose a multi-step procedure for constructing a confidence interval for the number of signals present. The proposed procedure uses the ratios of a sample eigen-value and the sum of different sample eigen-values sequentially to determine the upper and lower limits for the confidence interval. A preference zone in the parameter space of the population eigen-values is defined to separate the signals and the noise. We derive the probability of a correct estimation, P(CE), and the least favorable configuration (LFC) asymptotically under the preference zone. Some important procedure properties are shown. Under the asymptotic LFC, the P(CE) attains its minimum over the preference zone in the parameter space of all eigen-values. Therefore a minimum sample size can be determined in order to implement our procedure with a guaranteed probability requirement.