Neural network aided Kalman filtering for multitarget tracking applications

Author

Vaidehi, V. ; Chitra, N. ; Krishnan, C.N. ; Chokkalingam, M.

Author_Institution

Sch. of Instr. & Electron., Madras Inst. of Technol., Chennai, India

fYear

1999

fDate

1999

Firstpage

160

Lastpage

165

Abstract

The adaptive capability of the Kalman filtering is known to increase by incorporating a neural network into the normal Kalman filter. Current work extends this fact and proposes the neural network aided Kalman filtering scheme for tracking multitargets that are highly manoeuvring. The improvement in the tracking accuracy due to the proposed scheme is presented for various tracking scenarios

Keywords

adaptive Kalman filters; adaptive signal processing; backpropagation; neural nets; radar signal processing; radar tracking; target tracking; tracking filters; adaptive the Kalman filtering; backpropagation neural network; multitarget tracking applications; neural network aided Kalman filtering; tracking accuracy; Acceleration; Adaptive filters; Filtering; Instruments; Kalman filters; Neural networks; Parameter estimation; Radar measurements; Radar tracking; Target tracking;

fLanguage

English

Publisher

ieee

Conference_Titel

Radar Conference, 1999. The Record of the 1999 IEEE

Conference_Location

Waltham, MA

Print_ISBN

0-7803-4977-6

Type

conf

DOI

10.1109/NRC.1999.767301

Filename

767301

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2830276