Architectures For Real-Time Sequential Detection

John S. Baras; Anthony LaVigna

doi:10.1117/12.942051

25 November 1987 Architectures For Real-Time Sequential Detection

John S. Baras, Anthony LaVigna

Proceedings Volume 0827, Real-Time Signal Processing X; (1987) https://doi.org/10.1117/12.942051
Event: 31st Annual Technical Symposium on Optical and Optoelectronic Applied Sciences and Engineering, 1987, San Diego, CA, United States

Abstract

We present the sequential detection for diffusion type signals both in the fixed probability of error formulation and in the Bayesian formulation. The optimal strategy in both cases is a threshold policy with explicitly computable thresholds. We provide numerical schemes for approximating the revelant likelihood ratio and provide an architecture for real time signal processing.

Citation Download Citation

John S. Baras and Anthony LaVigna "Architectures For Real-Time Sequential Detection", Proc. SPIE 0827, Real-Time Signal Processing X, (25 November 1987); https://doi.org/10.1117/12.942051

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