• Title/Summary/Keyword: Spatial performance

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Hybrid simulation tests of high-strength steel composite K-eccentrically braced frames with spatial substructure

  • Li, Tengfei;Su, Mingzhou;Guo, Jiangran
    • Steel and Composite Structures
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    • v.38 no.4
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    • pp.381-397
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    • 2021
  • Based on the spatial substructure hybrid simulation test (SHST) method, the seismic performance of a high-strength steel composite K-eccentrically braced frame (K-HSS-EBF) structure system is studied. First, on the basis of the existing pseudostatic experiments, a numerical model corresponding to the experimental model was established using OpenSees, which mainly simulated the shear effect of the shear links. A three-story and five-span spatial K-HSS-EBF was taken as the prototype, and SHST was performed with a half-scale SHST model. According to the test results, the validity of the SHST model was verified, and the main seismic performance indexes of the experimental substructure under different seismic waves were studied. The results show that the hybrid simulation results are basically consistent with the numerical simulation results of the global structure. The deformation of each story is mainly concentrated in the web of the shear link owing to shear deformation. The maximum interstory drifts of the model structure during Strength Level Earthquake (SLE) and Maximum Considered Earthquake (MCE) meet the demands of interstory limitations in the Chinese seismic design code of buildings. In conclusion, the seismic response characteristics of the K-HSS-EBFs are successfully simulated using the spatial SHST, which shows that the K-HSS-EBFs have good seismic performance.

The Development of a Spatial Middleware for Efficient Retrieval of Mass Spatial Data (대용량 공간 데이타의 효율적인 검색을 위한 공간 미들웨어의 개발)

  • Lee, Ki-Young;Kim, Dong-Oh;Shin, Jung-Su;Han, Ki-Joon
    • Journal of Korea Spatial Information System Society
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    • v.10 no.1
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    • pp.1-14
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    • 2008
  • Recently, because of the need to wide-area spatial data for spatlal analysis and military purpose, there are increasing demand for the efficient retrieval of mass spatial data in Geographic Information System(GIS) fields. Oracle Spatial and ESRI ArcSDE, that are GIS Software, are to manage mass spatial data stably and to support various services but they are inefficient to retrieve mass spatial data because of the complexity of their spatial data models and spatial operations. Therefore, in this paper, we developed a spatial middleware that can retrieve mass spatial data efficiently. The spatial middleware used Oracle which is a representative commercial DBMS as a repository for the stable management of spatial data and utilized OCCI(Oracle C++ Call Interface) for the efficient access of mass spatial data in Oracle. In addition, various spatial operating methods and the Array Fetch method were used in the spatial middleware to perform efficient spatial operations and retrieval of mass spatial data in Oracle, respectively. Finally, by comparing the spatial middleware with Oracle Spatial and ESRI ArcSDE through the performance evaluation, we proved its excellent retrieval and storage performance of mass spatial data.

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Efficient detectors for MIMO-OFDM systems under spatial correlation antenna arrays

  • Guerra, David William Marques;Fukuda, Rafael Masashi;Kobayashi, Ricardo Tadashi;Abrao, Taufik
    • ETRI Journal
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    • v.40 no.5
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    • pp.570-581
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    • 2018
  • This work analyzes the performance of implementable detectors for the multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) technique under specific and realistic operation system conditions, including antenna correlation and array configuration. A time-domain channel model was used to evaluate the system performance under realistic communication channel and system scenarios, including different channel correlation, modulation order, and antenna array configurations. Several MIMO-OFDM detectors were analyzed for the purpose of achieving high performance combined with high capacity systems and manageable computational complexity. Numerical Monte Carlo simulations demonstrate the channel selectivity effect, while the impact of the number of antennas, adoption of linear against heuristic-based detection schemes, and the spatial correlation effect under linear and planar antenna arrays are analyzed in the MIMO-OFDM context.

ANALYSIS OF SPATIAL AND TEMPORAL ADAPTIVE PROCESSING FOR GNSS INTERFERENCE MITIGATION

  • Chang, Chung-Liang;Juang, Jyh-Ching
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • v.2
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    • pp.143-148
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    • 2006
  • The goal of this paper is to analyze, through simulations and experiments, GNSS interference mitigation performance under various types of antenna structures against wideband and narrowband interferences using spatial-temporal adaptive signal processing (STAP) techniques. The STAP approach, which combines spatial and temporal processing, is a viable means of GNSS array signal processing that enhancing the desired signal quality and providing protection against interference. In this paper, we consider four types of 3D antenna array structure - Uniform Linear Array (ULA), Uniform Rectangular Array (URA), Uniform Circular Array (UCA), and the Single-Ring Cylindrical Array (SRCA) under an interference environment. Analytical evaluation and simulations are performed to investigate the system performance. This is followed by simulation GPS orbits in interfered environment are used to evaluate the STAP performance. Furthermore, experiments using a 2x2 URA hardware simulator data show that with the removal of wideband and narrowband interference through the STAP techniques, the signal tracking performance can be enhanced.

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Zero forcing based sphere decoder for generalized spatial modulation systems

  • Jafarpoor, Sara;Fouladian, Majid;Neinavaie, Mohammad
    • ETRI Journal
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    • v.41 no.2
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    • pp.145-159
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    • 2019
  • To reduce the number of radio frequency (RF) chains in multiple input multiple output (MIMO) systems, generalized spatial modulation (GSM) techniques have been proposed in the literature. In this paper, we propose a zero-forcing (ZF)-based detector, which performs an initial pruning of the search tree that will be considered as the initial condition in a sphere decoding (SD) algorithm. The proposed method significantly reduces the computational complexity of GSM systems while achieving a near maximum likelihood (ML) performance. We analyze the performance of the proposed method and provide an analytic performance difference between the proposed method and the ML detector. Simulation results show that the performance of the proposed method is very close to that of the ML detector, while achieving a significant computational complexity reduction in comparison with the conventional SD method, in terms of the number of visited nodes. We also present some simulations to assess the accuracy of our theoretical results.