Presentation	1997/2/21 A Proposal on New Type of Adaptive Array Antenna with Learning Algorithm Takayasu SHIOKAWA,
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Abstract(in English)	This paper describes a new type of adaptive antenna with learning algorithm. The method installed in this antenna is a neural network algorithm based on the pattern recognization problem. First, this paper presents the simulation results by using the back propagation algorithm, comparing with those by the kalman filter algorithm. Secondly, this paper proposes a new type of adaptive technique applicable to the future mobile communication by applying the pattern recognization algorithm. Finally, by showing the simulation results, this paper discusses the advantages of this type of adaptive array antenna.
Keyword(in Japanese)	(See Japanese page)
Keyword(in English)	Adaptive antenna / Neural network / non-statistic problem / pattern recognization algorithm / Mobile communication
Paper #	A・P96-171,EMCJ96-106,RCS96-185,MW96-211
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Conference Information
Committee	RCS
Conference Date	1997/2/21(1days)
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Paper Information
Registration To	Radio Communication Systems (RCS)
Language	JPN
Title (in Japanese)	(See Japanese page)
Sub Title (in Japanese)	(See Japanese page)
Title (in English)	A Proposal on New Type of Adaptive Array Antenna with Learning Algorithm
Sub Title (in English)
Keyword(1)	Adaptive antenna
Keyword(2)	Neural network
Keyword(3)	non-statistic problem
Keyword(4)	pattern recognization algorithm
Keyword(5)	Mobile communication
1st Author's Name	Takayasu SHIOKAWA
1st Author's Affiliation	Department of Electronic Engineering Tohoku University()
Date	1997/2/21
Paper #	A・P96-171,EMCJ96-106,RCS96-185,MW96-211
Volume (vol)	vol.96
Number (no)	531
Page	pp.pp.-
#Pages	8
Date of Issue