Statistical Properties of FMCW Radar Altimeter Signals Scattered From a Rough Cylindrical Surface

Monakov, A. A.; Nesterov, Mikhail

doi:10.1109/taes.2017.2650498

Cited by 8 publications

(3 citation statements)

References 25 publications

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“…In general, ground clutter is extremely unstable. For example, wind causes micro-motions of objects such as trees and grass, which can cause amplitude fluctuations and spectral broadening of ground clutter [7,8]. When examining the ground clutter mechanism, we should focus on the amplitude and frequency domain characteristics of ground clutter, which are affected by factors such as the wavelength of incident electromagnetic waves, surface area of radar radiation, incident angle of radar, polarization mode of incident electromagnetic waves, complex dielectric properties of the surface, and ground roughness [9][10][11].…”

Section: Analysis Of Ground Cluttermentioning

confidence: 99%

“…According to theory, the phase change of the incident field along the target length is more significant when the wavelength of the incident electromagnetic wave and the target size are of the same order of magnitude. Within the scattering region, each part of the weather scatterer affects the other parts [7,13,14]. The field strength at each point on the scatterer is the superposition of the scattered field strengths caused by the incident point and the remaining points in the scatterer, and the total effect of the interactions between the various parts of the scatterer determines the density distribution of the final current.…”

Section: Analysis Of Weather Cluttermentioning

confidence: 99%

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Research on a Simulation Method of the Millimeter Wave Radar Virtual Test Environment for Intelligent Driving

Tao

Zhu

et al. 2020

Sensors

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This study addresses the virtual testing of intelligent driving, examines the key problems in modeling and simulating millimeter wave radar environmental clutter, and proposes a modeling and simulation method for the environmental clutter of millimeter wave radar in intelligent driving. First, based on the attributes of intelligent vehicle millimeter wave radar, the classification characteristics of the traffic environment of an intelligent vehicle and the generation mechanism of radar environmental clutter are analyzed. Next, the statistical distribution characteristics of the clutter amplitude, the distribution characteristics of the power spectrum, and the electromagnetic dielectric characteristics are analyzed. The simulation method of radar clutter under environmental conditions such as road surface, rainfall, snowfall, and fog are deduced and designed. Finally, experimental comparison results are utilized to validate the model and simulation method.

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Section: Analysis Of Ground Cluttermentioning

confidence: 99%

Section: Analysis Of Weather Cluttermentioning

confidence: 99%

Research on a Simulation Method of the Millimeter Wave Radar Virtual Test Environment for Intelligent Driving

Tao

Zhu

et al. 2020

Sensors

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“…Однако, несмотря на большое количество методов решения задачи рассеяния радиоволн на шероховатых поверхностях и появление мощных компьютеров, создание математической модели рассеянного шероховатой поверхностью сигнала по-прежнему является сложной задачей. В настоящее время существует 4 категории математических моделей, каждая из которых соответствует определенной группе методов решения задачи рассеяния: модели, основанные на численном решении строгих электродинамических уравнений [11][12][13]; приближенные электродинамические модели [2,6,14]; модели, использующие метод статистических эквивалентов [15][16][17][18][19]; феноменологические модели [20][21][22][23][24]. Каждой из перечисленных категорий присущи свои достоинства и недостатки.…”

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Simulation of a Radio Signal Scattered from a Rough Surface by the Method of Stationary Points

Monakov

2023

Izv. vysš. učebn. zaved. Ross., Radioèlektron.

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Introduction. Many radar and radio navigation problems require adequate (i.e., corresponding to the physics of radio wave scattering under a certain set of conditions) simulation of a radio signal scattered from a rough surface. At present, four categories of mathematical models are used for these purposes, with each corresponding to a particular group of methods for solving the scattering problem. These methods include those based on a rigorous solution of the electrodynamic equations (methods of moments, finite elements, finite differences); approximate methods for solving electrodynamic problems (methods of small perturbations, tangent plane (Kirchhoff method), two-scale model); those of statistical equivalents; and phenomenological models. In the former two categories, the electromagnetic field is computed on a surface grid, whose step must be much smaller than the signal wavelength. This makes the simulation of a scattered radio signal effectively unrealizable for two-dimensional rough surfaces. The method of statistical equivalents is based on the calculation of the probabilistic characteristics of a scattered signal. Difficulties arising in this case narrow the possibilities of simulation, largely due to the impossibility of obtaining closed expressions for the required characteristics without significant simplifications. In addition, carrying out analytical calculations, the solution is restricted to the class of surfaces with the Gaussian distribution of roughness heights. Phenomenological models, although providing for a qualitative analysis of signal scattering from a rough surface, fail to take the physics of the scattering process into account.Aim. To create a simple and adequate model of a signal scattered from a two-dimensional rough surface using the tangent plane approximation of the boundary conditions (the Kirchhoff method), which can be realized on modern computers.Materials and methods. The proposed model of the scattered signal is based on its representation as a sum of signals reflected from stationary points on the surface, i.e., those points where the law of specular reflection of the incident electromagnetic wave is locally fulfilled.Results. The implementation of the model is reduced to determination of the positions of stationary points on a twodimensional rough surface. This problem is solved on modern computers quite simply without computations with complex numbers. It turns out that the number of stationary points, even with a large surface roughness, rarely exceeds two. This fact, along with the simplicity of finding the coordinates of stationary points, makes this model suitable for long series of statistical runs.Conclusion. The proposed model is easy to implement and can be used to study the accuracy of low-altitude target estimation, altimeters, Doppler and correlation speed and drift angle estimators.

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Fast detection and parameter estimation for polyphase-code radar signal

Tian

Zhou

Wang

2018

International Journal of Electronics

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Statistical Properties of FMCW Radar Altimeter Signals Scattered From a Rough Cylindrical Surface

Cited by 8 publications

References 25 publications

Research on a Simulation Method of the Millimeter Wave Radar Virtual Test Environment for Intelligent Driving

Research on a Simulation Method of the Millimeter Wave Radar Virtual Test Environment for Intelligent Driving

Simulation of a Radio Signal Scattered from a Rough Surface by the Method of Stationary Points

Fast detection and parameter estimation for polyphase-code radar signal

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