A Narrowband Mobile Satellite Maritime Propagation Channel Model at <i>L</i>-Band

Pérez-Fontán, F.; Santos, Vicente Pastoriza; Machado, Fernando; Witternigg, Norbert; Lesjak, Roman

doi:10.1109/tap.2020.3048549

Cited by 2 publications

(16 citation statements)

References 13 publications

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“…As the elevation increases, the sea contributions are less significant than those from the ship itself. That could be the explanation for the differences between the models in [4] and [5], and our measurements [1] (Fig. 16).…”

Section: Model Assumptionsmentioning

confidence: 63%

“…We run the above physical model and obtained, especially for the lower elevations, a fairly good match with our measured parameters reported in [1]. Thus, we used this model for characterizing the time dispersion introduced by sea surface scattering.…”

Section: Introductionmentioning

confidence: 59%

“…More details on this model can be found in [5], [7], and [18]. This simple model developed by Karasawa and Shiokawa [5], diverges from our extracted parameters [1], shown later in Fig. 16, as the elevation angle increases.…”

Section: Model Assumptionsmentioning

confidence: 68%

“…In [1], we presented examples of narrowband time-series for different elevation angles and sea surface roughness conditions. In the same way as many other workers in the field [9]- [17], it can be concluded that the channel is mostly conditioned by the presence of a reflection from the sea surface.…”

Section: Model Assumptionsmentioning

confidence: 99%

“…I N THIS article, we present a time-series synthesizer reproducing the channel impulse response (CIR) of the satellite maritime channel at L-Band. In an earlier paper [1], we discussed a measurement campaign using GPS L1 C/N 0 time-series in different sea state conditions. In that paper, the various modeling assumptions made before going on to analyze the measurements were presented.…”

Section: Introductionmentioning

confidence: 99%

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A Wideband Satellite Maritime Channel Model Simulator

Pérez-Fontán

Santos

Machado

et al. 2022

IEEE Trans. Antennas Propagat.

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In this article, we present implementation details of a generative satellite maritime propagation channel model at L-band. In an earlier paper, we presented the parameterization of the channel model for the narrowband case based on recordings of GPS L1 C/N 0 time-series in different sea state conditions. Additionally, we performed wider band measurements using GPS E5a (≈ 10 Mcps-chips per second-> 20 MHz bandwidth) and obtained estimations of power delay profiles. Due to lack of dynamic range and delay resolution, in these measurements, no conclusive information was gathered on the time spreading caused by the channel. What was clear is that the time spreading was not significant outside the first signal chip, i.e., ≈ 0.1 µs. Still wideband modeling is required within this spreading range. Now, we want to extend the model to the wideband case. To achieve this goal, we have used a rough surface scattering model applicable to sea surfaces and employed it to characterize the time dispersion to be expected. Additionally, we also used this scattering model to help verify the validity of the existing Doppler spread model. Furthermore, ship movements in the waves play a role. We try and analyze this issue. Finally, we present a detailed discussion on various implementation issues we came across when coding the simulator.

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Section: Model Assumptionsmentioning

confidence: 63%

Section: Introductionmentioning

confidence: 59%

Section: Model Assumptionsmentioning

confidence: 68%

Section: Model Assumptionsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

A Wideband Satellite Maritime Channel Model Simulator

Pérez-Fontán

Santos

Machado

et al. 2022

IEEE Trans. Antennas Propagat.

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Evaluation of 5G Coexistence and Interference Signals in the C-Band Satellite Earth Station

Al-Jumaily

Sali

Jiménez

et al. 2022

IEEE Trans. Veh. Technol.

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Satellite Services (FSS) used to be alone at the C-Band spectrum in most countries. Since the deployment of 5G in many countries (i.e., 3.3 -3.6GHz), FSS is not the exclusive system in the C-Band anymore. In order to minimize the detrimental interference for the FSS to allowable levels, regional exclusion zones of maximum radiated power in 5G base stations (BS) are proposed and evaluated.ixed Satellite Services (FSS) used to be alone at the C-Band spectrum in most countries. Since the deployment of 5G in many countries (i.e., 3.3 -3.6GHz), FSS is not the exclusive system in the C-Band anymore. In order to minimize the detrimental interference for the FSS to allowable levels, regional exclusion zones of maximum radiated power in 5G base stations (BS) are proposed and evaluated.F In this paper, a measurement campaign has been carried out, and an analysis of the interference has been studied. A filtering model, namely Filter to Remove Broadband Interference 5G (FIREBRING), is proposed and analyzed concerning the carrier-to-noise ratio (C/N). Moreover, this paper focuses on the evaluation of the 5G interference into the FSS. The proposed solution deployed an Low-Noise Block (LNB) with a band frequency of 3.7 to 4.2GHz to test the satellite down-conversion signal at the receiver. The paper offered a complete analysis of the 5G signal, taking into account the implications of out-of-band emissions, potentially LNB saturation into FSS receiver, and the repercussions of the deployment of the 5G BS active antenna systems. With the LNB and down-converter in place, it can be found that the signal interference between 1.450GHz and 1.550GHz, is nearly 18dB.

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A Narrowband Mobile Satellite Maritime Propagation Channel Model at L-Band

Cited by 2 publications

References 13 publications

A Wideband Satellite Maritime Channel Model Simulator

A Wideband Satellite Maritime Channel Model Simulator

Evaluation of 5G Coexistence and Interference Signals in the C-Band Satellite Earth Station

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