Data Association in an Ocean Environment
Abstract
A multisensor data association technique was developed utilizing an expected likelihood approach to link time discontinuous tracks or those simultaneously held by multiple sensors. Nonlinear propagation loss/detection performance, prior target speed/heading distributions, gaussian measurement errors and frequency spectrum comparison are included in the resulting algorithm. Single/multiple lookback techniques are used for link decisions. The technique is considered practical for the low data rates typical of ASW.
Document Details
- Document Type
- Technical Report
- Publication Date
- Sep 14, 1981
- Accession Number
- ADA108594
Entities
People
- Robert D. Berlin
- Vincent T. Gabriel
- Yaakov Bar-Shalom
Organizations
- General Electric