Accession Number : ADA325434

Title :   Wavelet-Based Fault-Tolerant Integration and Target Recognition in Multidimensional Sensor Signal Processing.

Descriptive Note : Progress rept. Sep 95-Sep 96,

Corporate Author : LOUISIANA STATE UNIV BATON ROUGE DEPT OF COMPUTER SCIENCE

Personal Author(s) : Iyengar, S. S. ; Jones, B. J.

PDF Url : ADA325434

Report Date : SEP 1996

Pagination or Media Count : 15

Abstract : Sensor fusion research has been motivated by the difficulty of implementing automated systems which interface with the real word. For a system to react properly to a changing environment, the system requires sensor input to model its environment. Unfortunately, sensors are electromechanical devices in most cases and subject to physical limitations. There physical limitations manifest themselves as constraints on the accuracy, precision, and dependability of the data returned by the sensors. It is computationally challenging for an autonomous system to robustly evaluate sensor data of questionable accuracy and dependability. Sensor fusion seeks to solve this problem by taking inputs from several physical sensors and merging the individual physical sensor readings into a logical sensor reading. This has several advantages, some of which are particularly salient to this research effort. The use of heterogenous physical sensor allows a logical sensor to be developed which is less sensitive to the limitations of any single sensor technology.

Descriptors :   *SIGNAL PROCESSING, *ARTIFICIAL INTELLIGENCE, *MULTISENSORS, ALGORITHMS, COMPUTERIZED SIMULATION, INTEGRATED SYSTEMS, NEURAL NETS, TARGET RECOGNITION, GAUSSIAN NOISE, ELECTROMECHANICAL DEVICES, VISIBLE SPECTRA, PATTERN RECOGNITION, DATA FUSION, OPTICAL DETECTORS, RECONNAISSANCE SATELLITES.

Subject Categories : Cybernetics

Distribution Statement : APPROVED FOR PUBLIC RELEASE