Analysis of high resolution land clutter using an X-band radar

Melebari, Amer; Gaffar, Mohammed Yunus Abdul; Strydom, J.J.

doi:10.1109/radarconf.2015.7411869

Cited by 5 publications

(3 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Another example for country-specific analysis are Doppler spectrum-based clutter models for South African urban terrain which can be found in [25]. Amplitude-based clutter models specific for different Saudi Arabian rural terrain are presented in [26] for low grazing angles. Clutter statistics for cultivated land, wooded hills and forest also for different seasons are presented in [27].…”

Section: Introductionmentioning

confidence: 99%

Statistical Analysis of Bistatic Radar Ground Clutter for Different German Rural Environments

Köhler

O’Hagan

Weiß

et al. 2020

Sensors

View full text Add to dashboard Cite

This article presents the statistical analysis of bistatic radar rural ground clutter for different terrain types under low grazing angles. Compared to most state-of-the-art analysis, we present country-specific clutter analysis for subgroups of rural environments rather than for the rural environment as a whole. Therefore, the rural environment analysis is divided into four dominant subgroup terrain types, namely fields with low vegetation, fields with high vegetation, plantations of small trees and forest environments representing a typical rural German environment. We will present the results for both the summer and the winter vegetation. Therefore, bistatic measurement campaigns have been carried out during the summer 2019 and the winter of 2019/20 in the aforementioned four different rural terrain types. The measurements were performed in the radar relevant X-band at a center frequency of 8.85 GHz and over a bandwidth of 100 MHz according to available transmit permission. The distinction of the rural terrain into different subgroups enables a more precise and accurate clutter analysis and modeling of the statistical properties as will be shown in the presented results. The statistical properties are derived from the calculated clutter amplitudes probability density functions and corresponding cumulative distribution functions for each of the four terrain types and the corresponding season. The data basis for the clutter analysis are the processed range-Doppler maps from the bistatic radar measurements. According to the authors’ current knowledge, a similar investigation based on real bistatic radar measurement data with the division into terrain subgroups has not yet been carried out and published for a German rural environment.

show abstract

Section: Introductionmentioning

confidence: 99%

Statistical Analysis of Bistatic Radar Ground Clutter for Different German Rural Environments

Köhler

O’Hagan

Weiß

et al. 2020

Sensors

View full text Add to dashboard Cite

show abstract

“…The authors define bistatic clutter scenario and propose two land-clutter models. In [6], with the environment of Saudi Arabian urban, South African urban and Saudi Arabian date farms, the statistical analysis of three types of land clutter are presented. In [7], a new model is proposed, which is comprised by functions of radar frequency, polarization, sea state, and grazing angle.…”

Section: Introductionmentioning

confidence: 99%

Generation of Weibull distribution clutter based on correlated Gaussian sequence

Wang

Xin

2017

J. Phys.: Conf. Ser.

View full text Add to dashboard Cite

The Weibull functional form for SEP event spectra M Laurenza, G Consolini, M Storini et al. -The Weibull functional form for the energetic particle spectrum at interplanetary shock waves M Laurenza, G Consolini, M Storini et al. Abstract. With the continuous development of science and technology, the electromagnetic environment becomes more complex. Accurate clutter modeling is becoming increasingly difficult, which will have adverse effects in echo analysis. In this paper, in order to overcome electromagnetic interference, we use correlated Gaussian sequence to generate Weibull distribution clutter. Simulation results show that the estimated value of the proposed method is close to the theoretical value in the aspect of probability density and power spectral density. That demonstrates the validity of our method. Finally, the conclusions are given. IntroductionAs the increasing performance desire and new proposed system of radar, the demands for radar simulation system are increasing. Echo analysis is an important part in radar simulation, and the basis is clutter modeling. However, electromagnetic environment is more and more complex, and accurate clutter modeling is becoming increasingly difficult. So clutter modeling in complex environment is becoming hot issues of research. Clutter simulation is the key link in the design of radar echo simulator, and many researchers have conducted a lot of work in related field. Simon Haykin proposes the concept of cognitive radar. Using all available knowledge, it can interrogate a propagation channel adaptively [1]. In [2], the authors add different clutter distributions into the framework of trackability, and significant differences are obtained. In [3], it is shown that when looking up or down wind local spectrum intensity is strongly linked to mean Doppler shift. The spectra will be given a temporal and spatial variability by related characteristics when combined with random fluctuations of spectrum width. In [4], different from traditional signal-dependent stochastic models, the authors propose a new approach of stochastic transfer function. In [5], the authors research on bistatic radar. The authors define bistatic clutter scenario and propose two land-clutter models. In [6], with the environment of Saudi Arabian urban, South African urban and Saudi Arabian date farms, the statistical analysis of three types of land clutter are presented. In [7], a new model is proposed, which is comprised by functions of radar frequency, polarization, sea state, and grazing angle. In [8], the authors describe X-band radar-based measurements of urban ground clutter, which is made from the CSIR campus in Pretoria, South-Africa. In [9], artificial neural network is used to classify four common radar clutter models. After simulating clutter models and extracting the important features, the authors make neural network with two hidden layers. In [10], the optimization of an information theoretic criterion for radar waveform design is described.In this paper, after describing principles of...

show abstract

“…After the bistatic clutter scenario is defined two land-clutter models, based on a common general geometry are described. In [7], the paper presents the statistical analysis of three types of land clutter terrains: Saudi Arabian urban, South African urban and Saudi Arabian date farms, all measured at low grazing angle. In [8], the authors propose an improved empirical model for radar sea clutter reflectivity.…”

Section: Introductionmentioning

confidence: 99%

Generation of Rayleigh Distribution Clutter in CR

Wang¹,

Song²,

Xin³

2017

dtetr

View full text Add to dashboard Cite

Abstract. Research on clutter modeling and generation is very important in echo analysis, especially for CR (cognitive radar) working in complex environment. In this paper, we propose a novel generation method for Rayleigh distribution clutter in CR. This method adopts white Gaussian noise sequence and Bessel filter, and Rayleigh distribution clutter can be generated through nonlinear transformation. Simulation results demonstrate the validity of the method, and the estimated value and theoretical value are consistent with each other in both clutter amplitude and spectrum. Finally, the whole paper is summarized.

show abstract

Analysis of high resolution land clutter using an X-band radar

Cited by 5 publications

References 12 publications

Statistical Analysis of Bistatic Radar Ground Clutter for Different German Rural Environments

Statistical Analysis of Bistatic Radar Ground Clutter for Different German Rural Environments

Generation of Weibull distribution clutter based on correlated Gaussian sequence

Generation of Rayleigh Distribution Clutter in CR

Contact Info

Product

Resources

About