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