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Author

Rabindra K. Mishra

Bio: Rabindra K. Mishra is an academic researcher from Berhampur University. The author has contributed to research in topics: Microstrip antenna & Patch antenna. The author has an hindex of 19, co-authored 114 publications receiving 1273 citations. Previous affiliations of Rabindra K. Mishra include University of New Mexico & University of Birmingham.


Papers
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Journal ArticleDOI
TL;DR: An artificial neural network (ANN) has been developed and tested for square-patch antenna design that transforms the data containing the dielectric constant, thickness of the substrate, and antenna's dominant-mode resonant frequency to the patch length.
Abstract: An artificial neural network (ANN) has been developed and tested for square-patch antenna design. It transforms the data containing the dielectric constant (/spl epsiv//sub r/), thickness of the substrate (h), and antenna's dominant-mode resonant frequency (f/sub r/) to the patch length (l).

126 citations

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TL;DR: A very flexible approach of locating fault elements in antenna arrays is proposed using artificial neural networks (ANN), which takes samples of radiation pattern of the array with fault elements and maps it to the location of the faulty element in that array.
Abstract: A very flexible approach of locating fault elements in antenna arrays is proposed using artificial neural networks (ANN). The network takes samples of radiation pattern of the array with fault elements and maps it to the location of the faulty element in that array. The developed methodology is tested for a linear array and the same can easily be extended for planar arrays also. The developed network can be used at the base stations to find out the number and location of the fault elements in the array in space platforms

98 citations

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TL;DR: In this article, an ultrawideband (UWB) bandpass filter with a band notch is proposed, which is realized by cascading a distributed high pass filter and an elliptic low pass filter with an embedded stepped impedance resonator (SIR).
Abstract: In this letter, an ultrawideband (UWB) bandpass filter with a band notch is proposed. The UWB BPF (3.1-10.6 GHz) is realized by cascading a distributed high-pass filter and an elliptic low-pass filter with an embedded stepped impedance resonator (SIR) to achieve a band notch characteristic. The notch band is obtained at 5.22 GHz. It is shown that the notch frequency can be tuned by changing the impedance ratio of the embedded SIR. A fabricated prototype of the proposed UWB bandpass filter is developed. The inband and out-of-band performance obtained by measurement, EM simulation, and that with an equivalent circuit model are in good agreement.

95 citations

Journal ArticleDOI
TL;DR: In this article, a study of tuning the patch antenna on a ferrite substrate to exploit this feature is reported, along with the associated theoretical analysis and experimental findings, which leads to multiresonant behavior.
Abstract: The permeability variation of a ferrite substrate with an axial DC magnetic bias field along with the RF excitation of a microstrip antenna leads to multiresonant behavior. A study of tuning the patch antenna on a ferrite substrate to exploit this feature is reported, along with the associated theoretical analysis and experimental findings. >

86 citations

Journal ArticleDOI
TL;DR: The development of neural network techniques is reviewed, some basic concepts involved in it are introduced, and a comprehensive survey of Neural network application to different branches of microwave engineering is given.
Abstract: In the last two decades, artificial neural network (ANN) technology has leaped forward and is now being applied in different areas such as speech recognition, control, telecommunication, remote sensing, pattern recognition, etc. ANN application to the field of microwaves is very recent. This article reviews the development of neural network techniques, introduces some basic concepts involved in it, and gives a comprehensive survey of neural network application to different branches of microwave engineering.

85 citations


Cited by
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Journal ArticleDOI
TL;DR: In this paper, the data for all reported low-loss microwave dielectric ceramic materials are collected and tabulated and the table of these materials gives the relative permittivity, quality factor, temperature variation of the resonant frequency, crystal structure, sintering temperature, measurement
Abstract: In addition to the constant demand of low-loss dielectric materials for wireless telecommunication, the recent progress in the Internet of Things (IoT), the Tactile Internet (fifth generation wireless systems), the Industrial Internet, satellite broadcasting and intelligent transport systems (ITS) has put more pressure on their development with modern component fabrication techniques Oxide ceramics are critical for these applications, and a full understanding of their crystal chemistry is fundamental for future development Properties of microwave ceramics depend on several parameters including their composition, the purity of starting materials, processing conditions and their ultimate densification/porosity In this review the data for all reported low-loss microwave dielectric ceramic materials are collected and tabulated The table of these materials gives the relative permittivity, quality factor, temperature variation of the resonant frequency, crystal structure, sintering temperature, measurement

452 citations

Journal ArticleDOI
TL;DR: Recent progress in deep-learning-based photonic design is reviewed by providing the historical background, algorithm fundamentals and key applications, with the emphasis on various model architectures for specific photonic tasks.
Abstract: Innovative approaches and tools play an important role in shaping design, characterization and optimization for the field of photonics. As a subset of machine learning that learns multilevel abstraction of data using hierarchically structured layers, deep learning offers an efficient means to design photonic structures, spawning data-driven approaches complementary to conventional physics- and rule-based methods. Here, we review recent progress in deep-learning-based photonic design by providing the historical background, algorithm fundamentals and key applications, with the emphasis on various model architectures for specific photonic tasks. We also comment on the challenges and perspectives of this emerging research direction. The application of deep learning to the design of photonic structures and devices is reviewed, including algorithm fundamentals.

446 citations

Journal ArticleDOI
TL;DR: In this article, a single-fed resonant slot loaded with a series of PIN diode switches constitutes the fundamental structure of the antenna and the antenna tuning is realized by changing its effective electrical length, which is controlled by the bias voltages of the solid state shunt switches along the slot antenna.
Abstract: In this paper the design of a compact, efficient and electronically tunable antenna is presented. A single-fed resonant slot loaded with a series of PIN diode switches constitute the fundamental structure of the antenna. The antenna tuning is realized by changing its effective electrical length, which is controlled by the bias voltages of the solid state shunt switches along the slot antenna. Although the design is based on a resonant configuration, an effective bandwidth of 1.7:1 is obtained through this tuning without requiring a reconfigurable matching network. Four resonant frequencies from 540-890 MHz are selected in this bandwidth and very good matching is achieved for all resonant frequencies. Theoretical and experimental behavior of the antenna parameters is presented and it is demonstrated that the radiation pattern, efficiency and polarization state of the antenna remain essentially unaffected by the frequency tuning

397 citations

Journal ArticleDOI
Abstract: This paper reviews the current state-of-the-art in electromagnetic (EM)-based design and optimization of microwave circuits using artificial neural networks (ANNs). Measurement-based design of microwave circuits using ANNs is also reviewed. The conventional microwave neural optimization approach is surveyed, along with typical enhancing techniques, such as segmentation, decomposition, hierarchy, design of experiments, and clusterization. Innovative strategies for ANN-based design exploiting microwave knowledge are reviewed, including neural space-mapping methods. The problem of developing synthesis neural networks is treated. EM-based statistical analysis and yield optimization using neural networks is reviewed. The key issues in transient EM-based design using neural networks are summarized. The use of ANNs to speed up "global modeling" for EM-based design of monolithic microwave integrated circuits is briefly described. Future directions in ANN techniques to microwave design are suggested.

321 citations

Journal ArticleDOI
TL;DR: In this article, a novel antenna reconfiguration mechanism based on the displacement of liquid metal sections is presented, which helps avoid the main disadvantage of mechanically-actuated reconfigurable antennas which is the mechanical failure of their solid parts due to material fatigue, creep or wear.
Abstract: A novel antenna reconfiguration mechanism based on the displacement of liquid metal sections is presented. The liquid nature of the moving parts of the antenna helps avoid the main disadvantage of mechanically-actuated reconfigurable antennas which is the mechanical failure of their solid parts due to material fatigue, creep or wear. Furthermore, the displacement of liquid elements can be more effectively performed than in the case of solid materials by applying precise microfluidic techniques such as continuous-flow pumping or electrowetting. The reconfiguration mechanism is demonstrated through the design, fabrication and measurement of a radiation pattern reconfigurable antenna. This antenna operates at 1800 MHz with 4.0% bandwidth and is capable of performing beam-steering over a 360° range with fine tuning. The antenna is a novel circular Yagi-Uda array, where the movable parasitic director and reflector elements are implemented by liquid metal mercury (Hg). The parasitics are placed and rotated in a circular microfluidic channel around the driven element by means of a flow generated and controlled by a piezoelectric micropump. The measured results demonstrate good performance and the applicability of the microfluidic system.

200 citations