A new model for the Doppler spectrum of windblown radar ground clutter

Abstract-Ground-based synthetic aperture radar (GB-SAR) sensors represent a cost-effective solution for change detection and ground displacement assessment of small-scale areas in real-time early warning applications. GB-SAR systems based on stepped linear frequency modulated continuous wave signals have led to several improvements such as a significant reduction of the acquisition time. Nevertheless, the acquisition time is still long enough to force a degradation of the quality of the reconstructed images because of possible short-term variable reflectivity of the scenario. This reduction of the quality may degrade the differential interferometric detection process. In scenarios where interesting targets are surrounded by vegetation, this is normally related to atmospheric conditions, in particular, the wind. The present paper characterizes the effect of the short-term variable reflectivity in the GB-SAR image reconstruction and evaluates its equivalent blurring effect, the decorrelation introduced in the SAR images, and the degradation of the extracted parameters. In order to validate the results, the study assesses different GB-SAR images obtained with the RISKSAR-X sensor, which has been developed by the Universitat Politècnica de Catalunya.Index Terms-Blurring, coherence, differential synthetic aperture radar (SAR) interferometry (DInSAR), ground-based synthetic aperture radar (GB-SAR), temporal decorrelation.

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“…In Fig. 8, the PSD of these cells is compared with the model for the Doppler spectrum of a windblown radar ground clutter called K-PSD [14].…”

Section: B Effect Of Windblown In the Retrieved Imagesmentioning

confidence: 99%

“…As it has been pointed out in different experiments and studies [11]- [13], the changes in the scenario might be related to the wind, which may modify its reflectivity in short periods of time if the observed area contains or is surrounded by vegetation [14]. As a result, the quality of the focused images and the extracted parameters is degraded.…”

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confidence: 99%

Impact of Wind-Induced Scatterers Motion on GB-SAR Imaging

Lort

Aguasca

López-Martínez

et al. 2018

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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“…In order to detect these targets optimally, it is necessary to know the clutter strength and power spectrum characteristics a priori. Many experts and researchers focus their attention to the development of the clutter experiment and the analysis of clutter statistic characteristics [1][2][3][4][5][6][7][8][9][10][11][12][13][14].…”

Section: Introductionmentioning

confidence: 99%

Physical modeling and spectrum spread analysis of surface clutter in forward scattering radar

Zeng

et al. 2010

Sci. China Inf. Sci.

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In this paper, based on the processing results of measured clutter data in forward scattering radar, a special phenomenon that the clutter spectrum spread is insensitive to the wind speed and carrier frequency is observed. The pendulum model is first time introduced into the physical modeling and formation mechanism analysis of surface clutter, and the quantitative expression of clutter spectrum spread is analytically obtained. Under the assumption of pendulum model, the processing results of measured clutter data agree well with the results of theoretical analysis, which fully verifies the correctness of pendulum model and reveals the formation mechanism of surface clutter spectrum in forward scattering radar. Furthermore, according to the stability of clutter spectrum spread with respect to carrier frequencies and wind speed, the optimal cutoff frequencies of clutter filter can be obtained, which establishes the basis for moving target detection and accurate parameters estimation. CitationLong T, Hu C, Zeng T, et al. Physical modeling and spectrum spread analysis of surface clutter in forward scattering radar.

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“…By contrast, many models and spectral functions for the clutter distribution and spectral shape fit are discussed [15][16][17][18][19][20][21][22][23][24] through monostatic clutter statistic characteristic analysis. For example, the power-law spectral model has been widely used for a number of years to represent Doppler spectra due to intrinsic motion in radar ground clutter [21]. The model was shown to provide a good fit to experimentally measured clutter echoes in monostatic radar under a number of different conditions [21,24].…”

Section: Introductionmentioning

confidence: 99%

Statistic characteristic analysis of forward scattering surface clutter in bistatic radar

Zeng

2010

Sci. China Inf. Sci.

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In this paper, based on the processing results of measured forward scattering clutter data in bistatic radar, using the Gaussian distribution model, Exponential distribution model, Power-Law distribution model, high order Auto-Regressive model and so on, the probability density distribution and power spectrum mathematical model are obtained, and the impact of clutter statistic models on target detection performance is analytically derived from statistic theory. According to the estimated clutter probability distribution, power spectrum model and generalized matching filter theory, the forward scattering clutter in bistatic radar is effectively suppressed and the target motion parameters are accurately estimated from the measured clutter data.

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A new model for the Doppler spectrum of windblown radar ground clutter

Cited by 29 publications

References 6 publications

Impact of Wind-Induced Scatterers Motion on GB-SAR Imaging

Impact of Wind-Induced Scatterers Motion on GB-SAR Imaging

Physical modeling and spectrum spread analysis of surface clutter in forward scattering radar

Statistic characteristic analysis of forward scattering surface clutter in bistatic radar

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