NDLI: Synthesis method for broadband beamformer based on FIR filters designed by neural networks

Content Provider	IEEE Xplore Digital Library
Author	Shao Jie Ye Ning Tang Jin-Hua
Copyright Year	2011
Description	Author affiliation: School of Electronic Information and Engineering, Nanjing University of Aeronautics and Astronautics, 210016, China (Shao Jie; Tang Jin-Hua) \|\| Department of Information Science, Nanjing College for Population Programme Management, 210042, China (Ye Ning)
Abstract	A approach to design a novel constant beamwidth beamformer used in underwater sonar system was proposed. In the proposed algorithm, the FIR digital filters based on a batch back-propagation neural network with a variable learning rate mode and combined with digital-delay-lines were used to weight the received signals. Simulation of the proposed algorithm was done on an array of 16-sensors equally spaced line array. The results show that the broadband beamformer based on FIR filter designed by BP neural networks had better performance. Meanwhile, the computation of designed broadband beamformer can be effectively reduced since the design of FIR filter were symmetrical structure.
Starting Page	2681
Ending Page	2686
File Size	429955
Page Count	6
File Format	PDF
ISBN	9781457706776
ISSN	21612927
e-ISBN	9789881725592
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-07-22
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Chinese Assoc of Automati
Subject Keyword	FIR filter Sonar system Neural networks Sonar Finite impulse response filter Broadband communication Electronic mail Neural network Arrays Least squares approximation Broadband beamformer
Content Type	Text
Resource Type	Article

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