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Dive into the research topics where Mohammad Aneesh is active.

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Featured researches published by Mohammad Aneesh.


Progress in Electromagnetics Research B | 2014

Analysis of Microstrip Line Feed Slot Loaded Patch Antenna Using Artificial Neural Network

Mohammad Aneesh; J. A. Ansari; Ashish Singh; Kamakshi; Saiyed Salim Sayeed

In this article, the parametric analysis of the slot-loaded microstrip line feed patch antenna is investigated using artiflcial neural network model. The bandwidths of the proposed antenna obtained at TM01, TM02, and TM03 frequency modes are 10.2GHz, 13.6GHz, and 17.2GHz, respectively. The performance of the proposed antenna is analyzed using artiflcial neural network model. The changes obtained in bandwidth due to the position of slot length and slot width are reported. The antenna parameters such as return loss, VSWR, gain and e-ciency are also calculated. The simulated results obtained with the help of IE3D simulation software are trained and tested using ANN. Theoretical results are compared with simulated and experimental ones, and they are in close agreement. Microstrip antennas have sparked interest among researchers because of their attractive features like low proflle, light weight, and conformal to mounting structures, but they have two most serious limitations, narrow bandwidth and low gain (1). Available methods for the analysis of MSA have high level of complexity. Generally, there are two methods for analysis of microstrip antenna such as numerical method and analytical method. The numerical methods is complicated compared to analytical methods and require much more time, whereas, analytical methods are easy and specifled to only some deflnite shapes of microstrip antenna. An artiflcial neural network (ANN) is used here for reducing some of these problems. ANNs are computational tools that learn from experience (training), which provide fast and accurate models for microwave modeling, simulation, and optimization. Using artiflcial neural network microstrip patch antenna was reported by Vegni and Toscano (2) in which they proposed the analysis of MSA using artiflcial neural network. Further, Mishra and Patnaik (3,4) proposed a CAD model for the design of square patch antenna and artiflcial model for efiective dielectric constant of microstrip line. Later, CAD model using spectral domain formulation (5) was also reported for the designing of rectangular patch antenna. Therefore, Guney and Sarikaya (6) proposed a comparative study of MAMDANI and Sugeno fuzzy interface system models for the resonant frequency calculation of rectangular microstrip patch antenna. Several other papers have also used ANN model to analyze and synthesize the microwave circuits (7{15). Thakare and Singhal (16) proposed the analysis of broadband slot-loaded inset feed microstrip patch antenna using ANN model. Most of these papers are based on ANN model presented only simulated and experimental results. In this paper, we provide a theoretical investigation and compare its results with simulated and experimental ones. In this paper, the microstrip line feed slot-loaded patch antenna is proposed. Its theoretical, simulated and ANN results have also been verifled experimentally. The proposed antenna is investigated for triple frequency-band operation, so that single antenna can be utilized for more than one frequency bands. The theoretical analysis of the proposed antenna is discussed using circuit theory concept based on modal expansion cavity model whereas ANN used RBFNN model.


international conference on computer and communication technology | 2012

RBF Neural Network Modeling of Rectangular Microstrip Patch Antenna

Mohammad Aneesh; J. A. Ansari; Ashish Singh; Kamakshi; Sk Verma

In this paper, a design procedure has been proposed for rectangular micro strip patch antenna using artificial neural network, which has been demonstrated using radial basis function neural network. The Neural model was analyzed for 20 sets of input output parameters. The radial basis function outputs are optimized by variation of spread constant and number of neurons. By applying this model we can reduce output error as well as time delay of system. The testing of output of neural model is found in good agreement with theoretical values.


Progress in Electromagnetics Research C | 2014

INVESTIGATIONS FOR PERFORMANCE IMPROVEMENT OF X-SHAPED RMSA USING ARTIFICIAL NEURAL NETWORK BY PREDICTING SLOT SIZE

Mohammad Aneesh; Ashish Singh; J. A. Ansari; Kamakshi; Saiyed Salim Sayeed

In this paper, an application of artiflcial neural network based on multilayer perceptron (MLP) model is presented for predicting the slot size on the radiating patch for improvement of the performance of patch antenna. Several performance afiecting parameters like resonance frequencies, gain, directivity, antenna e-ciency, and radiation e-ciency for dual band frequency are observed with the variation of slot size. For validation of this work, a prototype X-shaped patch antenna is fabricated using glass epoxy substrate and its performance parameters are measured experimentally and have been found in good agreement with ANN and simulated values.


International Journal of Microwave Science and Technology | 2014

Novel Design of Microstrip Antenna with Improved Bandwidth

Km. Kamakshi; Ashish Singh; Mohammad Aneesh; J. A. Ansari

A novel design of broadband patch antenna is presented in this paper. The broadband property of the proposed antenna is achieved by choosing a proper selection of dimensions and positions of slot and notch on the radiating patch. The bandwidth of the proposed antenna is found to be 30.5% with operating frequency band from 1.56 GHz to 2.12 GHz. Antenna characteristics are observed for different inclination angles “α” and its effect on bandwidths is also reported. The maximum gain of the antenna is found to be 9.86 dBi and it achieves broadside radiation pattern in the direction of maximum radiation over the operating band. The proposed antenna structure is simulated, fabricated, and tested for obtaining the desired performance. The simulated results are verified with experimental results which are in good agreement.


Journal of Electrical Engineering & Technology | 2015

Design and Analysis of Microstrip Line Feed Toppled T Shaped Microstrip Patch Antenna using Radial Basis Function Neural Network

Mohammad Aneesh; Anil Kumar; Ashish Kumar Singh; Kamakshi; J. A. Ansari

This paper deals with the design of a microstrip line feed toppled T shaped microstrip patch antenna that gives dualband characteristics at 4 GHz and 6.73 GHz respectively. The simulation of proposed antenna geometry has been performed using method of moment based IE3D simulation software. A radial basis function neural network (RBFNN) is used for the estimation of bandwidth for dualband at 4 GHz and 6.73 GHz respectively. In RBFNN model, antenna parameters such as dielectric constant, height of substrate, and width are used as input and bandwidth of first and second band is considered as output of the network. To validate the RBFNN output, an antenna has been physically fabricated on glass epoxy substrate. The fabricated antenna can be utilized in S and C bands applications. RBFNN results are found in close agreement with simulated and experimental results.


Radioelectronics and Communications Systems | 2018

Circuit Theory Analysis of Aperture Coupled Patch Antenna for Wireless Communication

Ashish Singh; Mohammad Aneesh; Kumari Kamakshi; J. A. Ansari

An analysis of dual band aperture coupled microstrip patch antenna is performed using modal expansion cavity model. The theoretical investigation of antenna characteristics such as return loss, VSWR and radiation pattern is represented. The influence of geometric parameters of the aperture coupled microstrip patch antenna, such as aperture length and width, height of the substrate, dielectric constant are also investigated. It is found that antenna resonates at two distinct modes i.e. 4.39 and 5.55 GHz for lower and upper resonance frequencies respectively. The bandwidth of the aperture coupled microstrip patch antenna at lower resonance frequency is 10.23% (theoretical) and 13.33% (simulated) whereas at upper resonance frequency, it is 5.69% (theoretical) and 3.59% (simulated). The frequency ratio obtained for upper to lower resonance frequencies for theoretical and simulated results are 1.5 and 1.37 respectively. The theoretical results are compared with IE3D simulation results along with reported experimental results and they are in close agreement.


Open Engineering | 2017

Analysis of Microstrip Line Fed Patch Antenna for Wireless Communications

Ashish Kumar Singh; Mohammad Aneesh; Kamakshi; J. A. Ansari

Abstract In this paper, theoretical analysis of microstrip line fed rectangular patch antenna loaded with parasitic element and split-ring resonator is presented. The proposed antenna shows that the dualband operation depends on gap between parasitic element, split-ring resonator, length and width of microstrip line. It is found that antenna resonates at two distinct resonating modes i.e., 0.9 GHz and 1.8 GHz for lower and upper resonance frequencies respectively. The antenna shows dual frequency nature with frequency ratio 2.0. The characteristics of microstrip line fed rectangular patch antenna loaded with parasitic element and split-ring resonator antenna is compared with other prototype microstrip line fed antennas. Further, the theoretical results are compared with simulated and reported experimental results, they are in close agreement.


international conference on power, control and embedded systems | 2012

Ultra-wideband shorted patch antenna for wireless communication

Kamakshi; J. A. Ansari; Ashish Singh; Anurag Mishra; Mohammad Aneesh

This paper presents the analysis of an ultra-wideband square patch antenna using circuit theory concept. It is noted that the antenna parameters have significant effects on the antenna performance. The impedance bandwidth and gain is found to be 67.97% and 70° with operational frequency band ranging from 3.37 GHz to 6.84 GHz. The theoretical results are in good agreement with simulated and experimental results.


Wireless Networks | 2014

Analysis of F-shape microstrip line fed dualband antenna for WLAN applications

Ashish Singh; Mohammad Aneesh; Kumari Kamakshi; Anurag Mishra; J. A. Ansari


Progress in Electromagnetics Research Letters | 2014

Desktop Shaped Broadband Microstrip Patch Antennas for Wireless Communications

Kamakshi; J. A. Ansari; Ashish Singh; Mohammad Aneesh

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Kamakshi

Allahabad University

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Ashish Kumar Singh

Institute of Genomics and Integrative Biology

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Anil Kumar

Institute of Genomics and Integrative Biology

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Aravind K. Jaiswal

Sam Higginbottom Institute of Agriculture

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