DocumentCode :
3188643
Title :
Elimination of direct waves in time-domain measurements of electromagnetic scattering by adaptive artificial neural network
Author :
Bin Song ; Gong Long ; Junma Fu
Author_Institution :
Dept. of Inf. & Control Eng., Xi´an Jiaotong Univ., Shaanxi, China
fYear :
1992
fDate :
18-25 June 1992
Firstpage :
2275
Abstract :
The use of an adaptive artificial neural network (ANN) for direct-wave elimination in time-domain measurements of electromagnetic scattering is considered. Many artificial experiments have been performed with the AST286 computer. The results obtained show that the adaptive ANN network, which ensures both real-time and high reliability and decreases the operational quantity considerably, is an effective technique for the elimination of direct waves in time-domain measurements of electromagnetic scattering.<>
Keywords :
adaptive filters; electromagnetic wave scattering; neural nets; signal processing; ANN; AST286 computer; adaptive artificial neural network; direct-wave elimination; electromagnetic scattering; time-domain measurements; Adaptive arrays; Adaptive systems; Antenna measurements; Artificial neural networks; Electromagnetic measurements; Electromagnetic scattering; Electromagnetic transients; Programmable control; Receiving antennas; Time domain analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Antennas and Propagation Society International Symposium, 1992. AP-S. 1992 Digest. Held in Conjuction with: URSI Radio Science Meeting and Nuclear EMP Meeting., IEEE
Conference_Location :
Chicago, IL, USA
Print_ISBN :
0-7803-0730-5
Type :
conf
DOI :
10.1109/APS.1992.221398
Filename :
221398
Link To Document :
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