Matrix Decomposition Methods for Efficient Hardware Implementation of DOA Estimation Algorithms: A Performance Comparison

2019 ◽  
Author(s):  
Ahmed A. Hussain ◽  
Nizar Tayem ◽  
Abdel-Hamid Soliman
Keyword(s):  
Hardware Implementation ◽  
Matrix Decomposition ◽  
Doa Estimation ◽  
Decomposition Methods ◽  
Performance Comparison ◽  
Estimation Algorithms ◽  
A Performance

scholarly journals FPGA-Based Hardware Implementation of Computationally Efficient Multi-Source DOA Estimation Algorithms

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 88845-88858 ◽  
Author(s):  
Ahmed A. Hussain ◽  
Nizar Tayem ◽  
Abdel-Hamid Soliman ◽  
Redha M. Radaydeh
Keyword(s):  
Hardware Implementation ◽  
Doa Estimation ◽  
Computationally Efficient ◽  
Estimation Algorithms

Direction of Arrival Estimation Under Near-Field Interference Using Matrix Filter

2015 ◽  
Vol 23 (04) ◽  
pp. 1540007 ◽  
Author(s):  
Guolong Liang ◽  
Wenbin Zhao ◽  
Zhan Fan
Keyword(s):  
Near Field ◽  
Direction Of Arrival ◽  
Doa Estimation ◽  
Direction Of Arrival Estimation ◽  
Far Field ◽  
Data Simulation ◽  
Estimation Algorithms ◽  
Simulation Results

Direction of arrival (DOA) estimation is of great interest due to its wide applications in sonar, radar and many other areas. However, the near-field interference is always presented in the received data, which may result in degradation of DOA estimation. An approach which can suppress the near-field interference and preserve the far-field signal desired by using a spatial matrix filter is proposed in this paper and some typical DOA estimation algorithms are adjusted to match the filtered data. Simulation results show that the approach can improve capability of DOA estimation under near-field inference efficiently.

scholarly journals Customized depolarization spatial patterns with dynamic retardance functions

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
David Marco ◽  
Guadalupe López-Morales ◽  
María del Mar Sánchez-López ◽  
Ángel Lizana ◽  
Ignacio Moreno ◽  
...  
Keyword(s):  
Spatial Patterns ◽  
Detection System ◽  
Temporal Integration ◽  
Matrix Decomposition ◽  
Decomposition Methods ◽  
Time Dependent ◽  
Light Modulator ◽  
Dynamical Time ◽  
Depolarization Effect ◽  
Spatially Variant

AbstractIn this work we demonstrate customized depolarization spatial patterns by imaging a dynamical time-dependent pixelated retarder. A proof-of-concept of the proposed method is presented, where a liquid–crystal spatial light modulator is used as a spatial retarder that emulates a controlled spatially variant depolarizing sample by addressing a time-dependent phase pattern. We apply an imaging Mueller polarimetric system based on a polarization camera to verify the effective depolarization effect. Experimental validation is provided by temporal integration on the detection system. The effective depolarizance results are fully described within a simple graphical approach which agrees with standard Mueller matrix decomposition methods. The potential of the method is discussed by means of three practical cases, which include non-reported depolarization spatial patterns, including exotic structures as a spirally shaped depolarization pattern.

A Performance Comparison of Three Topologies of Circular Loop Antennas Transmitting Systems

2021 ◽  
Author(s):  
Ferdaous Abderrazak ◽  
Eva Antonino-Daviu ◽  
Larbi Talbi ◽  
Miguel Ferrando-Bataller
Keyword(s):  
Performance Comparison ◽  
Circular Loop ◽  
Loop Antennas ◽  
A Performance
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