Design and Analysis of Multi-Sensor Sequential Detection System
Abstract
A multiple sensor system is considered under binary hypothesis environments. All sensors are assumed independent, and the observed data is also independent. Received data is quantized and then send to the fusion center to determine whether a target is present. The Sequential Probability Ratio Test is employed in the fusion center. The objective to find an optimal system by minimizing the expected number of observations. Both two-level and four-level quantizer are used in the process of finding the optimal system. Numerical evaluations are made to find the quantizer which minimize the expected number of observations that are required to decide the presence of the target. System simulations are also performed to confirm the results.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jul 01, 1991
- Accession Number
- ADA238012
Entities
People
- Demetrios Kazakos
- Quan-ming Chang
Organizations
- University of Virginia