SOLVING MINIMUM VARIANCE DISTORTIONLESS RESPONSE (MVDR) BEM0RMINTG USING LAGRANGE NEURAL NETWORK

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" SOLVING MINIMUM VARIANCE DISTORTIONLESS RESPONSE (MVDR) BEM0RMINTG USING LAGRANGE NEURAL NETWORK "

Document Type	:	Latin Dissertation
Language of Document	:	English
Record Number	:	151097
Doc. No	:	ET22889
Main Entry	:	Chuong Dinh Nguyen
Title Proper	:	SOLVING MINIMUM VARIANCE DISTORTIONLESS RESPONSE (MVDR) BEM0RMINTG USING LAGRANGE NEURAL NETWORK
Note	:	This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract	:	This thesis describes the design and implementation of a novel software solutionfor the Minimum Variance Distortionless Response (MVDR) Bearnfonning problembasing on a Lagrange Neural Network. The Beamforming problem is first described inthe context of a Phased Array Antenna system. Then the classical solution of the MVDRis described and elaborated. After we have identified the type of Beamfonning problem,we look at the existing neural network that can solve the MVDR problem- the Hopfieldbased Canonical Nonlinear Programming Circuit, Next, the Lagrange Neural Network isintroduced, defined, and proved that..,....-...,..tested for theQ1 PC1 bus cardBoth these projects mere sofixare des elopment efforts tonards contributing to dlfferentaspects of Roboucs and lZ1echatronics projects m the Controls and Roboucs Group..
Subject	:	Electericl tess
	:	برق
electronic file name	:	TL46117.pdf
Title and statement of responsibility and	:	SOLVING MINIMUM VARIANCE DISTORTIONLESS RESPONSE (MVDR) BEM0RMINTG USING LAGRANGE NEURAL NETWORK [Thesis]