Multi-Sensor Detection Study.
Abstract
The methods of complex Gaussian multivariate analysis are applied to the problem of detecting signals in noise using data from multiple sensors whose relative locations are arbitrary. Theory is used to predict detection performance in terms of minimum detectable signal (MDS). A computer program implementing the multivariate detection approach is described, demonstrating that computational requirements are modest and verifying theory by simulation. Significant improvements over single-sensor processing (reduction in MDS by a factor equal to the number of sensors) is shown for certain cases. (Author)
Document Details
- Document Type
- Technical Report
- Publication Date
- Sep 30, 1980
- Accession Number
- ADA091954
Entities
People
- Leonard E. Miller