scholarly journals Evaluating the deformation monitoring capability of a ground based SAR system with MIMO antenna

2021 ◽  
Vol 9 (1) ◽  
pp. 21-40
Author(s):  
Benyamin Hosseiny ◽  
Jalal Amini ◽  
Safieddin Safavi-Naeini ◽  
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◽  
...  
Author(s):  
Subuh Pramono ◽  
Muhammad Hamka Ibrahim ◽  
Josaphat Tetuko Sri Sumantyo
Keyword(s):  

Author(s):  
Aloysius Adya Pramudita ◽  
Trasma Yunita ◽  
Diana Alia ◽  
Sholihin Sholihin

2019 ◽  
Vol 78 (15) ◽  
pp. 1377-1387 ◽  
Author(s):  
S. Sudhashree ◽  
S. Chitra

2020 ◽  
Author(s):  
G Roopa ◽  
Krishna Chandra ◽  
B Raghavulu ◽  
Md Ismail ◽  
M Kumar Aditya

2020 ◽  
Vol 1529 ◽  
pp. 042016
Author(s):  
Mohd Aminudin Jamlos ◽  
Wan Azani Mustafa ◽  
Syed Zulkarnain Syed Idrus ◽  
Hafizatul Husna
Keyword(s):  

2021 ◽  
Vol 73 (1) ◽  
Author(s):  
Keitaro Ohno ◽  
Yusaku Ohta ◽  
Satoshi Kawamoto ◽  
Satoshi Abe ◽  
Ryota Hino ◽  
...  

AbstractRapid estimation of the coseismic fault model for medium-to-large-sized earthquakes is key for disaster response. To estimate the coseismic fault model for large earthquakes, the Geospatial Information Authority of Japan and Tohoku University have jointly developed a real-time GEONET analysis system for rapid deformation monitoring (REGARD). REGARD can estimate the single rectangular fault model and slip distribution along the assumed plate interface. The single rectangular fault model is useful as a first-order approximation of a medium-to-large earthquake. However, in its estimation, it is difficult to obtain accurate results for model parameters due to the strong effect of initial values. To solve this problem, this study proposes a new method to estimate the coseismic fault model and model uncertainties in real time based on the Bayesian inversion approach using the Markov Chain Monte Carlo (MCMC) method. The MCMC approach is computationally expensive and hyperparameters should be defined in advance via trial and error. The sampling efficiency was improved using a parallel tempering method, and an automatic definition method for hyperparameters was developed for real-time use. The calculation time was within 30 s for 1 × 106 samples using a typical single LINUX server, which can implement real-time analysis, similar to REGARD. The reliability of the developed method was evaluated using data from recent earthquakes (2016 Kumamoto and 2019 Yamagata-Oki earthquakes). Simulations of the earthquakes in the Sea of Japan were also conducted exhaustively. The results showed an advantage over the maximum likelihood approach with a priori information, which has initial value dependence in nonlinear problems. In terms of application to data with a small signal-to-noise ratio, the results suggest the possibility of using several conjugate fault models. There is a tradeoff between the fault area and slip amount, especially for offshore earthquakes, which means that quantification of the uncertainty enables us to evaluate the reliability of the fault model estimation results in real time.


Author(s):  
Sumon Modak ◽  
Taimoor Khan

Abstract This study presents a novel configuration of a cuboidal quad-port ultra-wideband multiple-input and multiple-output antenna with WLAN rejection characteristics. The designed antenna consists of four F-shaped elements backed by a partial ground plane. A 50 Ω microstrip line is used to feed the proposed structure. The geometry of the suggested antenna exhibits an overall size of 23 × 23 × 19 mm3, and the antenna produces an operational bandwidth of 7.6 GHz (3.1–10.7 GHz). The notched band characteristic at 5.4 GHz is accomplished by loading a pair of spiral electromagnetic bandgap structures over the ground plane. Besides this, other diversity features such as envelope correlation coefficient, and diversity gain are also evaluated. Furthermore, the proposed antenna system provides an isolation of −15 dB without using any decoupling structure. Therefore, to validate the reported design, a prototype is fabricated and characterized. The overall simulated performance is observed in very close agreement with it's measured counterpart.


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