Tracking Performance Evaluation
Abstract
This final report documents the research conducted at Advanced Decision Systems, sponsored by Lincoln Laboratory, Massachusetts Institute of Technology, under a project entitled, 'Discrimination Architecture Engineering Support,' from 1 December 1987 to 31 August 1988. In this research, simple analytic models were developed for predicting performance of tracking systems in terms of track purity under given tracking environments, in particular, multilayer ballistic missile defense environments concerning tracking-surveillance and object-discrimination. The main result is a simple analytic model which relates single-scan track-to-measurement association (correlation) performance to two key parameters, object density on sensors' focal planes, and average measurement prediction accuracy by tracks. Predicted track purity is then calculated, through this model, based on given object trajectories and sensor deployment patterns. Extended models were developed to account for false alarms and merged measurements (CSOs) due to limited sensor resolution. Small-scaled but fairly extensive Monte Carlo simulations support the analytic models for predicting track purity developed through this project. Keywords: Multitarget multisensor tracking; Ballistic missile defense systems; Track measurement association; (correlation); SDI tracking; Track purity; Track accuracy; Object density; Midcourse tracking; Performance evaluation; Performance prediction; Closely spaced objects.
Document Details
- Document Type
- Technical Report
- Publication Date
- Dec 07, 1988
- Accession Number
- ADA210499
Entities
People
- Chee-yee Chong
- Kuo-chu Chang
- Shozo Mori
- Steve Spain
Organizations
- Massachusetts Institute of Technology