Performance Lower Bounds for Compensated Tracking Sensors.
Abstract
The process of tracking and localization of a moving acoustic source in the ocean has a natural formulation as a problem in nonlinear filtering theory. In general, the optimal estimator for this signal processing problem cannot be explicitly constructed nor can optimal performance be computed. However, optimal performance can be approximated by using mathematical algorithms which provide lower bounds on attainable estimation accuracy. Lower bounds on tracking and localization errors are especially useful in that they indicate system performance limits and can be computed from basic measurement scenario parameters without reference to specific estimator structure. This report describes the mathematical structure and software required to compute non-linear filtering lower bounds to the tracking and localization performance attainable with a towed linear acoustic array and a hull-mounted sonar. The state-space model for the acoustic environment and sensor measurement processes used by the lower bound algorithms is also described. Range and bearing estimation performance as a function of signal-to-noise ratio, array distortion, and other important parameters, is studied for a generic measurement scenario. (Author)
Document Details
- Document Type
- Technical Report
- Publication Date
- Feb 28, 1980
- Accession Number
- ADA085671
Entities
People
- Jorge I. Galdos
- T. Sen Lee
Organizations
- TASC, Inc