Prediction of Radio Wave Propagation Loss in Ultra-Rugged Terrain Areas

Li, Huafu; He, Wei; He, Xianguo

doi:10.1109/tap.2020.3045508

Cited by 6 publications

(3 citation statements)

References 39 publications

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“…I= 10lg P aT P aR (25) Here, I is the antenna isolation, P aT is the actual power of the transmitting antenna, and P aR is the actual power of the receiving antenna.…”

Section: Level 4 Evaluation: Antenna Isolationmentioning

confidence: 99%

“…In recent years, remote sensing technology has developed rapidly and is now widely used, e.g., LiDAR localization technology [21][22][23][24]. Since high-precision digital maps are easy to acquire, they are widely used in wireless communication [25][26][27][28]. The communication distance and quality of a vehicular communication system are easily affected by complex terrain and geomorphology factors, thus increasing radio wave propagation loss and seriously affecting communication performance.…”

Section: Introductionmentioning

confidence: 99%

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Construction and Analysis of the EMC Evaluation Model for Vehicular Communication Systems Based on Digital Maps

Zhang,

Lu,

Zhang

et al. 2023

Remote Sensing

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With the development of vehicular communication technology, the electromagnetic compatibility requirements of vehicular communication systems are becoming more demanding. The traditional four-level electromagnetic compatibility evaluation model is widely applied in many scenarios. However, this model neglects the mutual interference of electronic devices inside a vehicle, and it cannot evaluate whether reduced radio receiver sensitivity, antenna isolation, and communication distance satisfy the system requirements for vehicular communication, thus making it unsuitable for digital communication systems. With the development of remote sensing technology, high-precision digital maps are easy to acquire and thus widely used. In this work, a modified five-level evaluation model based on digital maps is proposed, where digital maps are employed to support receiver sensitivity, antenna isolation, and communication performance evaluation. Through remote sensing technology and digital maps, a terrain profile is obtained, and a more accurate vehicle communication propagation model is established. In the experiment, an actual armored vehicular communication system example is applied to verify the performance of the proposed five-level evaluation model. Compared with the free-space propagation model, the error of the actual power received by the receiver is reduced by 0.97%, and the error of the communication distance where the sensitivity of the receiver is reduced by more than the system EMC threshold is reduced by 16.78%. The calculated antenna isolation degree is basically consistent with the actual measurement data. The model is able to evaluate the electromagnetic compatibility of an armored vehicular communication system more quickly, accurately, and comprehensively compared to previous evaluation models.

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“…I= 10lg P aT P aR (25) Here, I is the antenna isolation, P aT is the actual power of the transmitting antenna, and P aR is the actual power of the receiving antenna.…”

Section: Level 4 Evaluation: Antenna Isolationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Construction and Analysis of the EMC Evaluation Model for Vehicular Communication Systems Based on Digital Maps

Zhang,

Lu,

Zhang

et al. 2023

Remote Sensing

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show abstract

“…Since the characteristics suffer from distortion caused by the changing wireless environment, it is important to predict irregular changes to compensate information loss in communication. Previously, many radio-wavepropagation prediction methods based on analytic physical models have been proposed [1]- [4]. These methods realize certain prediction precision in specific propagation environments, but they are mostly lacking robustness.…”

Section: Introductionmentioning

confidence: 99%

Polarization-Aware Prediction of Mobile Radio Wave Propagation Based on Complex-Valued and Quaternion Neural Networks

2022

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It is important to predict the characteristics of radio waves propagating in wireless environment for compensating information loss caused by fading effects. Though fading is often analyzed as the changes of intrinsic electric-field phasor describing a communication channel, it is also attributed greatly to its polarization state (PS). In this paper, we propose PS and phasor prediction methods based on quaternion neural networks (QNNs) and complex-valued neural networks (CVNNs). Quaternion is a hypercomplex number system for representing three dimensional (3-D) spatial rotation and orientation. It realizes adaptive prediction more stably and effectively than a real-valued rotation matrix. The time trajectories of PS are expressed as 3-D rotational motions on the Poincare sphere. We show that QNNs learn the spatiotemporal movements of the PS with high generalization ability and thus provide a superior prediction performance. In addition, CVNNs are efficient predictors for processing complex-valued signals such as the phasor of an incident wave. We evaluate the precision of the proposed QNN-CVNN prediction scheme in channel equalization in a time-division-duplex (TDD) orthogonal-frequency-division-multiplexing (OFDM) communication system. In physical wireless-environment experiments, we find that the proposed scheme provides 3.0 dB and 6.0 dB improvements of bit error rate (BER) at 10 −4 , showing almost the same BER performance as a system perfectly knowing the actual radio-wave characteristics in future TDD frames. Accordingly, this work also reveals that PS needs to be considered as one of the significant characteristics in various radio-wave systems in the near-future technology.

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A Combined ITM and LITU-R Model for Enhanced Radio Coverage Predictions of Mission-Critical Communications in Mountainous Vegetated Terrains

Leonor

Faria

Vala

et al. 2022

Antennas Wirel. Propag. Lett.

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Prediction of Radio Wave Propagation Loss in Ultra-Rugged Terrain Areas

Cited by 6 publications

References 39 publications

Construction and Analysis of the EMC Evaluation Model for Vehicular Communication Systems Based on Digital Maps

Construction and Analysis of the EMC Evaluation Model for Vehicular Communication Systems Based on Digital Maps

Polarization-Aware Prediction of Mobile Radio Wave Propagation Based on Complex-Valued and Quaternion Neural Networks

A Combined ITM and LITU-R Model for Enhanced Radio Coverage Predictions of Mission-Critical Communications in Mountainous Vegetated Terrains

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