Title :
Satellite interference location based on RBF neural network method
Author :
Xinhai, Tong ; Huali, Wang ; Zhongmin, Gan
Author_Institution :
Nanjing Inst. of Commun. Eng., China
Abstract :
Using on-board multiple beam antenna (MBA) to obtain the direction of arrival (DOA) is a new method for communication satellite interference location. After reviewing the interference location techniques for communication satellites, a new high accurate location method based on the radial basis function (RBF) neural network is presented. The neural network method is simple and computationally effective owing to its superior ability of parallel processing. Simulation results show the effectiveness of the proposed method
Keywords :
direction-of-arrival estimation; multibeam antennas; parallel architectures; radial basis function networks; radiofrequency interference; satellite antennas; satellite communication; telecommunication computing; DOA estimation; RBF neural network method; RFI; direction of arrival; on-board multiple beam antenna; parallel processing; radial basis function neural network; radio frequency interference; satellite interference location; simulation results; Artificial satellites; Computer networks; Concurrent computing; Directional antennas; Extraterrestrial measurements; Neural networks; Parallel processing; Radiofrequency interference; Satellite broadcasting; Satellite communication;
Conference_Titel :
Signal Processing Proceedings, 2000. WCCC-ICSP 2000. 5th International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-5747-7
DOI :
10.1109/ICOSP.2000.894528
