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In this paper, a channel modeling method based on random-propagation-graph is elaborated, validated, and applied to characterizing time-variant channels observed in typical environments for high-speed railway wireless communications. The advantage of the proposed method is that the frequency-tempo-spatial channel coefficients, as well as the multi-dimensional channel impulse responses in delay, Doppler...
Delay variation can be very difficult to localize in function failure analysis. In this paper we combine Delay Variation Mapping (DVM) and Soft Defect Localization (SDL) to develop a novel and low-cost method that can detect delay variation effectively. It just uses Static Thermal Laser Stimulation (S-TLS), Oscilloscope and Function Generator to compose a dynamic thermal laser stimulation (D-TLS)...
In order to extract the statistical characteristics of propagation channels, multiple impulse responses of the channels are measured and saved e.g. in terms of cycles or bursts. In the case where measurements are performed in time-variant environments, the received signals need to be divided into multiple segments. It is essential to perform the data segmentation reasonably in order to guarantee that...
In this contribution, a novel clustering algorithm is proposed which is applicable for generating accurate parameters for the Clustered-Delay-Line (CDL) channel models. In this algorithm, we first use a Kolmogorov-Smirnov testing method to split multiple channel impulse responses into individual segments, each containing the observations of a wide-sense stationary channel. Then, the path estimates...
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