Title :
Performance evaluation of neural network algorithms for multisensor data fusion in an airborne track while scan radar
Author :
Patnaik, L.M. ; Nair, Hema ; Abraham, Varghese ; Raghavendra, G. ; Singh, Shishir Kumar ; Srinivasan, Rajan ; Ramchand, K.
Author_Institution :
Microprocessor Applications Lab., Indian Inst. of Sci., Bangalore, India
Abstract :
This paper deals with the solution to the problem of multisensor data fusion for a single target scenario as detected by an airborne track-while-scan radar. The details of a neural network implementation, various training algorithms based on standard backpropagation, and the results of training and testing the neural network are presented. The promising capabilities of RPROP algorithm for multisensor data fusion for various parameters are shown in comparison to other adaptive techniques
Keywords :
aircraft instrumentation; backpropagation; neural nets; radar signal processing; radar tracking; sensor fusion; RPROP algorithm; airborne track-while-scan radar; multisensor data fusion; neural network algorithms; performance evaluation; single target scenario; standard backpropagation; Airborne radar; Aircraft; Azimuth; Backpropagation algorithms; Intelligent networks; Neural networks; Radar applications; Radar tracking; Sensor fusion; Target tracking;
Conference_Titel :
Neural Networks, 1996., IEEE International Conference on
Conference_Location :
Washington, DC
Print_ISBN :
0-7803-3210-5
DOI :
10.1109/ICNN.1996.548895
