Model comparison of bistatic radar clutter

Pola, Marek; Bezoušek, Pavel; Pidanič, Jan

doi:10.1109/comite.2013.6545066

Cited by 14 publications

(3 citation statements)

References 3 publications

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“…Reference. [5] investigates the performance of various clutter models under identical bistatic configurations and compares them to actual clutter. In reference [6] , the sea clutter data collected by S-band networked radar with different geometric shapes at single base and double base are introduced, and the clutter data is tested and verified.…”

Section: Introductionmentioning

confidence: 99%

Study on clutter freedom of airborne bistatic radar

Zhao,

2023

Fourth International Conference on Signal Processing and Computer Science (SPCS 2023)

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Section: Introductionmentioning

confidence: 99%

Study on clutter freedom of airborne bistatic radar

Zhao,

2023

Fourth International Conference on Signal Processing and Computer Science (SPCS 2023)

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“…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.…”

Section: Introductionmentioning

confidence: 99%

Generation of Weibull distribution clutter based on correlated Gaussian sequence

Wang

Xin

2017

J. Phys.: Conf. Ser.

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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...

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“…In [5], the authors show a sample of results from a statistical and spectral analysis of a set of sea spikes selected from the radar returns, focusing on their Doppler properties, the spike duration and the temporal interval between spikes. In [6], a research in the area of bistatic radar clutter modeling is presented. After the bistatic clutter scenario is defined two land-clutter models, based on a common general geometry are described.…”

Section: Introductionmentioning

confidence: 99%

Generation of Rayleigh Distribution Clutter in CR

Wang¹,

Song²,

Xin³

2017

dtetr

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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.

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Model comparison of bistatic radar clutter

Cited by 14 publications

References 3 publications

Study on clutter freedom of airborne bistatic radar

Study on clutter freedom of airborne bistatic radar

Generation of Weibull distribution clutter based on correlated Gaussian sequence

Generation of Rayleigh Distribution Clutter in CR

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