Two Strategies in Transient Change Detection

The paper addresses the transient change detection (TCD) problem, assuming that the duration of change is finite. The TCD criterion minimizes the worst-case probability of missed detection among all tests with a prescribed worst-case probability of false alarm. We study the fixed sample size (FSS) t...

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Detalles Bibliográficos
Autores: Egea-Roca, Daniel|||0000-0002-5586-2199, Guepie, Blaise Kevin, López-Salcedo, José A.|||0000-0002-5392-6005, Seco-Granados, Gonzalo|||0000-0003-2494-6872, Nikiforov, Igor V.
Tipo de recurso: artículo
Fecha de publicación:2022
País:España
Institución:Universitat Autònoma de Barcelona
Repositorio:Dipòsit Digital de Documents de la UAB
Idioma:inglés
OAI Identifier:oai:ddd.uab.cat:325047
Acceso en línea:https://ddd.uab.cat/record/325047
https://dx.doi.org/urn:doi:10.1109/tsp.2022.3158008
Access Level:acceso abierto
Palabra clave:Neyman-Pearson test
Transient change detection
Finite moving average
Fixed sample size test
Hypothesis testing
Descripción
Sumario:The paper addresses the transient change detection (TCD) problem, assuming that the duration of change is finite. The TCD criterion minimizes the worst-case probability of missed detection among all tests with a prescribed worst-case probability of false alarm. We study the fixed sample size (FSS) test as a solution to the TCD problem. First, the operating characteristics of the FSS test have been established for arbitrary pre- and post-change distributions. Next, a numerical method of the sample (block) size optimization has been considered for three particular log-likelihood ratio distributions, i.e., Gaussian, χ2 and exponential. Moreover, simple asymptotic equations for the optimal operating characteristics and block size have been proposed in the Gaussian case. Numerical results are provided to confirm the theoretical findings for the above-mentioned distributions. The accuracy and sharpness of the asymptotic analytical equation is analyzed in the Gaussian case. Finally, the FSS test is compared to the finite moving average (FMA) test obtained by optimizing the CUSUM-type test with respect to the TCD optimality criterion for the above-mentioned distributions. The application of the FSS and FMA tests to the radio-navigation integrity monitoring is also considered.