High robustness of an SR motor angle estimation algorithm using fuzzy predictive filters and heuristic knowledge-based rules

1999 ◽  
Vol 46 (5) ◽  
pp. 904-916 ◽  
Author(s):  
A.D. Cheok ◽  
N. Ertugrul
Keyword(s):  
Estimation Algorithm ◽  
Heuristic Knowledge ◽  
Angle Estimation ◽  
Knowledge Based

Fast Angle Estimation Algorithm of Coherently Distributed Targets for Bistatic MIMO Radar

2011 ◽  
Vol 33 (7) ◽  
pp. 1684-1688
Author(s):  
Yi-duo Guo ◽  
Yong-shun Zhang ◽  
Lin-rang Zhang ◽  
Ning-ning Tong
Keyword(s):  
Estimation Algorithm ◽  
Mimo Radar ◽  
Angle Estimation ◽  
Bistatic Mimo Radar

scholarly journals Knee Angle Estimation Algorithm for Myoelectric Control of Active Transfemoral Prostheses

2010 ◽  
pp. 124-135 ◽  
Author(s):  
Alberto López Delis ◽  
João Luiz Azevedo de Carvalho ◽  
Adson Ferreira da Rocha ◽  
Francisco Assis de Oliveira Nascimento ◽  
Geovany Araújo Borges
Keyword(s):  
Estimation Algorithm ◽  
Myoelectric Control ◽  
Knee Angle ◽  
Angle Estimation

Using Features to Support Finite Element Idealizations

1994 ◽  
Author(s):  
Padmanabh Dabke ◽  
Vallury Prabhakar ◽  
Sheri Sheppard
Keyword(s):  
Finite Element ◽  
Finite Element Model ◽  
Spatial Reasoning ◽  
Element Model ◽  
Heuristic Knowledge ◽  
Knowledge Based System ◽  
Spatial Properties ◽  
Knowledge Based ◽  
Feature Based ◽  
The Finite Element Model

Abstract This paper describes how feature-based techniques can be used in a knowledge-based system to support finite element idealizations. Any system of this kind must have two important features. First, it must capture the experiential and heuristic knowledge used by expert analysts in making idealization decisions. Second, the system must be able to perform spatial reasoning about the finite element model being analyzed. The first requirement led us to incorporate knowledge-based reasoning in the idealization systems. We chose the formalism of “features” to capture the spatial reasoning because expert analysts often describe the idealization process in terms of removing / modifying features (such as holes, slots, notches, etc.) and their spatial properties.

Improved Azimuth/Elevation Angle Estimation Algorithm for Three-Parallel Uniform Linear Arrays

2015 ◽  
Vol 14 ◽  
pp. 329-332 ◽  
Author(s):  
Hua Chen ◽  
Chunping Hou ◽  
Qing Wang ◽  
Ling Huang ◽  
Weiqing Yan ◽  
...  
Keyword(s):  
Elevation Angle ◽  
Estimation Algorithm ◽  
Angle Estimation ◽  
Linear Arrays

A New Central Angle Estimation Method of Bistatic MIMO Radar

2013 ◽  
Vol 846-847 ◽  
pp. 1197-1200
Author(s):  
Jian Gong ◽  
Yi Duo Guo ◽  
Hui Xie ◽  
Zhi Long Li
Keyword(s):  
Angular Distribution ◽  
Hadamard Product ◽  
Estimation Method ◽  
Estimation Algorithm ◽  
Mimo Radar ◽  
Distribution Functions ◽  
Central Angle ◽  
Angle Estimation ◽  
Bistatic Mimo Radar ◽  
Simulation Results

Based on the theory that the steering vectors of coherently distributed targets for bistatic MIMO radar possess a property called Hadamard product rotational invariance (HPRI), a novel central angle estimation algorithm is derived. The proposed algorithm has the advantage of no searching and easily pair the estimated angles. Furthermore, it can deal with different coherently distributed targets with different angular distribution functions or unknown angular distribution functions. Simulation results show the proposed method is effective.

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