Electromagnetic attenuation through various types of buildings

Giri, Dave V.; Tesche, F. M.

doi:10.1109/apemc.2013.7360663

Cited by 7 publications

(2 citation statements)

References 4 publications

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“…At lower frequencies the key asymptotic approximation becomes less valid but still acceptable at UHF frequencies. Radio waves can penetrate into buildings, particularly at lower frequencies of the order of 100 MHz [ Giri and Tesche , ]. The transmission loss can be significant for receiver locations that are in deep shadow region of buildings close to the base station [ De Jong et al , ] if there are no other propagation mechanisms available.…”

Section: Introductionmentioning

confidence: 99%

An efficient ray tracing method for propagation prediction along a mobile route in urban environments

Hussain

Brennan

2017

Radio Science

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This paper presents an efficient ray tracing algorithm for propagation prediction in urban environments. The work presented in this paper builds upon previous work in which the maximum coverage area where rays can propagate after interaction with a wall or vertical edge is described by a lit polygon. The shadow regions formed by buildings within the lit polygon are described by shadow polygons. In this paper, the lit polygons of images are mapped to a coarse grid superimposed over the coverage area. This mapping reduces the active image tree significantly for a given receiver point to accelerate the ray finding process. The algorithm also presents an efficient method of quickly determining the valid ray segments for a mobile receiver moving along a linear trajectory. The validation results show considerable computation time reduction with good agreement between the simulated and measured data for propagation prediction in large urban environments.

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Section: Introductionmentioning

confidence: 99%

An efficient ray tracing method for propagation prediction along a mobile route in urban environments

Hussain

Brennan

2017

Radio Science

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“…To maintain the penetration capacity, electromagnetic waves in the L or S band should be selected. Note that the attenuation of electromagnetic waves increases with the thickness and dielectric constant of the wall [33][34][35]. As shown in Figure 6, the trajectory is designed as a straight line, which is similar to the one in conventional SAR imaging algorithms.…”

Section: Simulation Resultsmentioning

confidence: 99%

Trajectory Deviation Estimation Method for UAV-Borne Through-Wall Radar

Chen,

Zeng,

Zhong

et al. 2024

Remote Sensing

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Mini–unmanned aerial vehicles (mini-UAVs) are emerging as a promising platform for through-wall radar to sense the enclosed space in cities, especially high-rise buildings, due to their excellent maneuverability. However, due to unavoidable environmental interference such as airflow, mini-UAVs are prone to trajectory deviation thus degrading their sensing accuracy. Most of the existing approaches model the impact of trajectory deviation into a polynomial phase error on the received signal, which cannot fit the space-variant motion error well. Moreover, the large trajectory deviations of UAVs introduce the unavoidable envelope error. This article proposes an autofocusing algorithm based on the back projection (BP) image, which directly estimates the trajectory deviations between the actual and measured track. Thus, the problem of the 2D space variability of the motion error can be circumvented. The proposed method mainly consists of two steps. First, we estimate the trajectory deviation in the line-of-sight (LOS) direction by exploring the underlying linear property of the wall embedded in the BP imaging result. Then, the estimated trajectory deviation in the LOS direction is compensated for to obtain an updated BP image, followed by a Particle Swarm Optimization (PSO) approach to estimate the trajectory deviation along the track through focusing targets behind the wall. Simulations and practical experiments show that the proposed algorithm can accurately estimate the serious trajectory deviations larger than the range resolution, improving the sensing robustness of UAV-borne through-wall radar greatly.

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