Land Mobile Propagation Satellite Model based on 360° images

Rougerie, Sébastien; Israel, Jonathan

doi:10.23919/eucap51087.2021.9410901

Cited by 1 publication

(3 citation statements)

References 11 publications

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“…After the reference data is determined, the L2-Norm method is used to perform model parameter fitting in order to obtain the value of parameter set f dev , α, k, f d max , P 0 , P 1 when the target function (22) is the smallest. In addition, in order to reflect the superiority of the method proposed in this paper, in this step, we also compare the results of parameter fitting of the mean L2-Norm in [26] and the mean weight minimum mean square error (WMMSE) method in [27], as shown in the Fig. 11.…”

Section: B Results Analysismentioning

confidence: 99%

“…8. According to the Doppler power spectrum expression, the parameter set to be fitted contains f dev , α, k, f d max , P 0 , P 1 , and the target function can be set using L2-Norm method [26].…”

Section: Model Parameter Fittingmentioning

confidence: 99%

“…Ha et al [25] adopted Lp-Norm algorithm to perform the steps of multi-scene measured data fitting of doppler power spectrum model parameters, and obtained the parameter sets of the model in each scene. Rougerie et al [26] adopted a fitting method of weighted minimum mean square error for land mobile satellite (LMS) channel transmission environment to provide the optimal trade-off between Doppler spectrum shape and coherence time. However, the above two parameter fitting methods both consider the average Doppler power spectrum of stationary channels under fixed scenes, and do not analyze the instantaneous Doppler power spectrum of non-stationary channels such as LEO satellites.…”

Section: Introductionmentioning

confidence: 99%

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Multi-Scene Doppler Power Spectrum Modeling of LEO Satellite Channel Based on Atlas Fingerprint Method

et al. 2021

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The modeling of low earth orbit (LEO) satellite channel depends on its Doppler power spectrum. Due to satellite during transit, diversity and dynamic channel scene, the modeling of Doppler power spectrum has two serious problems: one is that the shape of the Doppler power spectrum will vary with the change of scenes and time, but the use of the existing traditional Doppler power spectrum models is difficult to accurately describe them. The other one is that the amount of measured data used for modeling is too large to handle, and data aliasing is easy to occur between different scenes, which will make it difficult to ensure the accuracy of model parameter fitting. In this paper, a two-side truncated asymmetric Doppler power spectrum model is proposed to universally describe the Doppler power spectrum during satellite transit. In addition, the atlas fingerprint method clustering is adopted to realize the classification of the measured data samples of Doppler power spectrum in multiple scenes, and the data with the strongest representation ability in each scene is selected to fit the model parameters. The simulation results show that the proposed model is in good agreement with the measured data. Therefore, parameter fitting using the proposed method can improve the accuracy of the model, so as to better describe the characteristics of LEO satellite channel fading in the frequency domain.INDEX TERMS LEO satellite channel, Doppler power spectrum model, multiple scenes, atlas fingerprint, parameter fitting.

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Section: B Results Analysismentioning

confidence: 99%

Section: Model Parameter Fittingmentioning

confidence: 99%