scholarly journals Detection of Defective Sensors in Phased Array Using Compressed Sensing and Hybrid Genetic Algorithm

2016 ◽  
Vol 2016 ◽  
pp. 1-8 ◽  
Author(s):  
Shafqat Ullah Khan ◽  
Ijaz Mansoor Qureshi ◽  
Aqdas Naveed ◽  
Bilal Shoaib ◽  
Abdul Basit
Keyword(s):  
Genetic Algorithm ◽  
Compressed Sensing ◽  
Antenna Arrays ◽  
Phased Array ◽  
Hybrid Genetic Algorithm ◽  
Field Pattern ◽  
Element Failure ◽  
The Difference ◽  
Far Field Pattern ◽  
Diagnosis Technique

A compressed sensing based array diagnosis technique has been presented. This technique starts from collecting the measurements of the far-field pattern. The system linking the difference between the field measured using the healthy reference array and the field radiated by the array under test is solved using a genetic algorithm (GA), parallel coordinate descent (PCD) algorithm, and then a hybridized GA with PCD algorithm. These algorithms are applied for fully and partially defective antenna arrays. The simulation results indicate that the proposed hybrid algorithm outperforms in terms of localization of element failure with a small number of measurements. In the proposed algorithm, the slow and early convergence of GA has been avoided by combining it with PCD algorithm. It has been shown that the hybrid GA-PCD algorithm provides an accurate diagnosis of fully and partially defective sensors as compared to GA or PCD alone. Different simulations have been provided to validate the performance of the designed algorithms in diversified scenarios.

scholarly journals Integrated circular optical phased array

2021 ◽  
Vol 255 ◽  
pp. 01004
Author(s):  
Qiankun Liu ◽  
Tom Smy ◽  
Ahmad Atieh ◽  
Pavel Cheben ◽  
Alejandro Sánchez-Postigo ◽  
...  
Keyword(s):  
Phased Array ◽  
Field Pattern ◽  
Antenna Element ◽  
Sidelobe Suppression ◽  
Integrated Optical ◽  
Optical Phased Arrays ◽  
Optical Phased Array ◽  
Element Array ◽  
The Individual ◽  
Far Field Pattern

Existing OPAs are typically based on 2D rectangular arrays or 1D linear arrays. Both approaches present a limited field-of-view (FOV) due to the presence of the grating lobes when the element spacing is larger than λ/2. To address the need for an increased steering range, we propose a new design strategy of an OPA system utilizing a 2D circular phased array, with a substantially increased FOV. We present a circular OPA using a demonstrated antenna element design, with an 820-element array. A steering range ΩSR calculated as a solid angle of 0.51π sr, and an angular beamwidth of 0.22°, was achieved. The array exhibits a sidelobe suppression larger than 10 dB, and a FOV of 2π sr. Although the performance is limited by the far field pattern of the individual antenna we chose, our circular OPA achieved, to the best of our knowledge, the largest steering range reported to date compared to the state-of-the-art integrated optical phased arrays reported in literature.

Single‐lobed far‐field pattern operation in a phased array with an integrated phase shifter

1987 ◽  
Vol 50 (22) ◽  
pp. 1541-1543 ◽  
Author(s):  
M. Matsumoto ◽  
M. Taneya ◽  
S. Matsui ◽  
S. Yano ◽  
T. Hijikata
Keyword(s):  
Phase Shifter ◽  
Phased Array ◽  
Field Pattern ◽  
Far Field ◽  
Far Field Pattern

Rapid Method for Finding Faulty Elements in Antenna Arrays Using Far Field Pattern Samples

2009 ◽  
Vol 57 (6) ◽  
pp. 1679-1683 ◽  
Author(s):  
Juan Antonio Rodriguez-Gonzalez ◽  
Francisco Ares-Pena ◽  
Manuel Fernandez-Delgado ◽  
Roberto Iglesias ◽  
SenÉn Barro
Keyword(s):  
Rapid Method ◽  
Antenna Arrays ◽  
Field Pattern ◽  
Far Field ◽  
Far Field Pattern

scholarly journals Diagnosis of Faulty Sensors in Antenna Array using Hybrid Differential Evolution based Compressed Sensing Technique

2017 ◽  
Vol 7 (2) ◽  
pp. 961 ◽  
Author(s):  
Shafqat Ullah Khan ◽  
M. K. A. Rahim ◽  
I. M. Qureshi ◽  
N. A. Murad
Keyword(s):  
Compressed Sensing ◽  
Differential Evolution ◽  
Field Pattern ◽  
Linear Measurements ◽  
Linear Arrays ◽  
Power Pattern ◽  
Simulation Results ◽  
The Difference ◽  
Precise Simulation ◽  
Faulty Sensors

<span lang="EN-US">In this work, differential evolution based compressive sensing technique for detection of faulty sensors in linear arrays has been presented. This algorithm starts from taking the linear measurements of the power pattern generated by the array under test. The difference between the collected compressive measurements and measured healthy array field pattern is minimized using a hybrid differential evolution (DE). In the proposed method, the slow convergence of DE based compressed sensing technique is accelerated with the help of parallel coordinate decent algorithm (PCD). The combination of DE with PCD makes the  minimization faster and precise. Simulation results validate the performance to detect faulty sensors from a small number of measurements.</span>

VA-2 Index guided phased array lasers that emit in an in-phase far field pattern

1986 ◽  
Vol 33 (11) ◽  
pp. 1856-1857
Author(s):  
D.F. Welch ◽  
P.S. Cross ◽  
D.R. Scifres ◽  
W. Streifer ◽  
R.D. Burnham
Keyword(s):  
Phased Array ◽  
Field Pattern ◽  
Far Field ◽  
Far Field Pattern

scholarly journals Geometrical Synthesis of Sparse Antenna Arrays Using Compressive Sensing for 5G IoT Applications

Sensors ◽  
2020 ◽  
Vol 20 (2) ◽  
pp. 350 ◽  
Author(s):  
Giulia Buttazzoni ◽  
Fulvio Babich ◽  
Francesca Vatta ◽  
Massimiliano Comisso
Keyword(s):  
Compressive Sensing ◽  
Antenna Arrays ◽  
Optimization Problem ◽  
Field Pattern ◽  
Sensors And Actuators ◽  
Iot Applications ◽  
Fifth Generation ◽  
Far Field Pattern ◽  
The Internet Of Things ◽  
Antenna Systems

One of the main targets of the forthcoming fifth-generation (5G) cellular network will be the support of the communications for billions of sensors and actuators, so as to finally realize the Internet of things (IoT) paradigm. This pervasive scenario unavoidably requires the design of cheap antenna systems with beamforming capabilities for compensating the strong attenuations that characterize the millimeter-wave (mmWave) channel. To address this issue, this paper proposes an iterative algorithm for sparse antenna arrays that enables to derive the number of elements, their amplitudes, phases, and positions in the presence of constraints on the far-field pattern. The algorithm, which relies on the compressive sensing approach, is formulated by transforming the original nonconvex optimization problem into a convex one. To prove the suitability of the conceived solution for 5G IoT mmWave applications, numerical examples and comparisons with other existing methods are provided, considering synthesis problems with different pattern and aperture specifications.

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