Design features of microwave photonic radars

Rostokin, I. N.; Fedoseeva, E. V.; RostokinÐ, Elena A.; Kariaev, Vadim V.; Morozov, Oleg G.; Sakhabutdinov, A. Zh.; Nureev, Ilnur I.; Morozov, Gennady A.

doi:10.1117/12.2566327

Cited by 2 publications

(2 citation statements)

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“…The article of the members of the research team [3] presents the results of the study of the possibility of modernization of modern remote sensing systems through the use of methods and elements of radio-photonics in devices forming heterodyne signals. Application of active phased antenna arrays (APA) with multichannel spatial processing of received signals, based on the use of radio-photonics technologies, will significantly improve the main tactical and technical characteristics of remote sensing systems: fluctuation sensitivity; information efficiency; detection range; noise immunity and power consumption.…”

Section: Analysis Of Options For the Use Of Radio Photonics Devices A...mentioning

confidence: 99%

Application of radiophotonics methods and devices in multifrequency microwave remote sensing radiometric systems

Rostokin

Fedoseeva

Rostokina

et al. 2022

J. Phys.: Conf. Ser.

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The article considers the possibility of using methods and devices of radio-photonics in the composition of microwave radiometric systems for remote sensing of the atmosphere in order to significantly improve the basic tactical and technical characteristics of microwave radio-measuring equipment. The analysis of possible options for the use of radio photonics devices as part of multi-frequency microwave radiometric systems is carried out. The results of the structural study of a promising microwave radiometric system for remote sensing of the atmosphere are presented.

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Section: Analysis Of Options For the Use Of Radio Photonics Devices A...mentioning

confidence: 99%

Application of radiophotonics methods and devices in multifrequency microwave remote sensing radiometric systems

Rostokin

Fedoseeva

Rostokina

et al. 2022

J. Phys.: Conf. Ser.

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“…Microwave photonic techniques can significantly increase transmission capacity and range, reduce signal loss and interference, improve accuracy and significantly reduce the cost of both transmission and measurement systems [1][2][3]. Microwave photonic techniques have applications in various fields including telecommunications [4], radar systems [5,6], wireless communications, measurement technology [7,8] and fiber-optic sensing [9][10][11]. The use of microwave photonic methods in fiber-optic sensing allows not only to significantly reduce the cost of interrogation equipment but at the same time to increase both the speed and accuracy of measurements [10][11][12][13].…”

Section: Introductionmentioning

confidence: 99%

Enhancing Microwave Photonic Interrogation Accuracy for Fiber-Optic Temperature Sensors via Artificial Neural Network Integration

Makarov,

Qaid,

Al Hussein

et al. 2024

Optics

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In this paper, an application of an artificial neural network algorithm is proposed to enhance the accuracy of temperature measurement using a fiber-optic sensor based on a Fabry–Perot interferometer (FPI). It is assumed that the interrogation of the FPI is carried out using an optical comb generator realizing a microwave photonic approach. Firstly, modelling of the reflection spectrum of a Fabry–Perot interferometer is implemented. Secondly, probing of the obtained spectrum using a comb-generator model is performed. The resulting electrical signal of the photodetector is processed and is used to create a sample for artificial neural network training aimed at temperature detection. It is demonstrated that the artificial neural network implementation can predict temperature variations with an accuracy equal to 0.018 °C in the range from −10 to +10 °C and 0.147 in the range from −15 to +15 °C.

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Design features of microwave photonic radars

Cited by 2 publications

References 0 publications

Application of radiophotonics methods and devices in multifrequency microwave remote sensing radiometric systems

Application of radiophotonics methods and devices in multifrequency microwave remote sensing radiometric systems

Enhancing Microwave Photonic Interrogation Accuracy for Fiber-Optic Temperature Sensors via Artificial Neural Network Integration

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