Proceedings of the 9th International Conference on Telecommunications and Remote Sensing最新文献

MIMO Channel Diversity Analysis Using Angles Between Complex Baseband Channel Impulse Responses 基于复杂基带信道脉冲响应夹角的MIMO信道分集分析

Proceedings of the 9th International Conference on Telecommunications and Remote Sensing Pub Date : 2020-10-05 DOI: 10.1145/3430116.3430119

Alexander G. B. Colpitts, B. Petersen, G. Messier, R. Behin

引用次数: 0

Improving Resilience Using Drones for Effective Monitoring after Disruptive Events 使用无人机在破坏性事件后进行有效监测，提高弹性

Proceedings of the 9th International Conference on Telecommunications and Remote Sensing Pub Date : 2020-10-05 DOI: 10.1145/3430116.3430123

B. Shishkov, S. Hristozov, A. Verbraeck

{"title":"Improving Resilience Using Drones for Effective Monitoring after Disruptive Events","authors":"B. Shishkov, S. Hristozov, A. Verbraeck","doi":"10.1145/3430116.3430123","DOIUrl":"https://doi.org/10.1145/3430116.3430123","url":null,"abstract":"We observe a world of increasing anxiety due to natural and man-made disasters, pandemics, and military conflicts. Such disruptive events lead to decreased infrastructure and personnel availability; still, infrastructure and personnel are essential for keeping society running, and for addressing the effects of disruptions. We argue that drone technology could provide monitoring/logistics services that can help in addressing such needs. This paper focuses on the monitoring function which can provide situational awareness to decision makers after such a crisis. Drones are less dependent on nearby area infrastructure and can observe affected regions from above. Those are key advantages compared to other solutions. Still, drones are dependent on communication services and ground operators. Therefore, we need drone solutions that are less dependent on the availability of local infrastructure and people. Several conceptual solutions to reach this independence, based on recent developments in drone technology, are explicitly discussed in the current paper and confronted with the requirements and boundary conditions posed by disruptive events. Validating such solutions in real emergency situations is left for future work.","PeriodicalId":285534,"journal":{"name":"Proceedings of the 9th International Conference on Telecommunications and Remote Sensing","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131798589","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 6

PV System Monitoring by IoT in Smart University 基于物联网的智慧大学光伏系统监控

Proceedings of the 9th International Conference on Telecommunications and Remote Sensing Pub Date : 2020-10-05 DOI: 10.1145/3430116.3430124

Eldar Zaerov, Silviya A. Letskovska, K. Seymenliyski, Radoslav Simionov

引用次数: 1

Diffraction Models from Opaque Objects Simulated by Fourier Transform 傅立叶变换模拟不透明物体衍射模型

Proceedings of the 9th International Conference on Telecommunications and Remote Sensing Pub Date : 2020-10-05 DOI: 10.1145/3430116.3430121

I. Garvanov, C. Kabakchiev, Magdalena Garvanova, D. Borissova, G. Dimitrov

引用次数: 3

Iterative MMSE Algorithm of ISAR Image Reconstruction ISAR图像重建的迭代MMSE算法

Proceedings of the 9th International Conference on Telecommunications and Remote Sensing Pub Date : 2020-10-05 DOI: 10.1145/3430116.3430118

A. Lazarov, I. Garvanov

{"title":"Iterative MMSE Algorithm of ISAR Image Reconstruction","authors":"A. Lazarov, I. Garvanov","doi":"10.1145/3430116.3430118","DOIUrl":"https://doi.org/10.1145/3430116.3430118","url":null,"abstract":"The focus of the present work is on the Inverse Synthetic Aperture Radar (ISAR) image reconstruction procedure based on iterative minimization of mean square errors (MMSE) in the estimation of the object's invariant geometric parameters. The ISAR geometry and kinematics are analytically described in two-dimensional (2-D) coordinates. The vector equation for estimation of the invariant geometric parameters and the matrix equation for calculation of errors in the estimates are presented. A linear frequency modulation (LFM) ISAR signal from scattering points located at the nodes of a uniform grid during inverse aperture synthesis is used as an approximation matrix function. In contrast to Fourier transform image reconstruction, the azimuth resolution properties of the proposed method do not depend on the number of measurements, i.e. the synthetic aperture length. The number of the measurements is defined by the number of the evaluated geometric parameters, the object's scattering points, which is the main advantage of the proposed MMSE method, and the main contribution of the present study. To prove the validity and correctness of the developed iterative MMSE algorithm, numerical experiments are performed. The computational results demonstrate high-resolution images, unambiguous and convergent estimates of the scattering point intensities of the object from limited simulated ISAR data.","PeriodicalId":285534,"journal":{"name":"Proceedings of the 9th International Conference on Telecommunications and Remote Sensing","volume":"161 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132519489","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Role of Space Weather in Determining the State of the Ionosphere 空间天气在确定电离层状态中的作用

Proceedings of the 9th International Conference on Telecommunications and Remote Sensing Pub Date : 2020-10-05 DOI: 10.1145/3430116.3430117

O. Maltseva

{"title":"Role of Space Weather in Determining the State of the Ionosphere","authors":"O. Maltseva","doi":"10.1145/3430116.3430117","DOIUrl":"https://doi.org/10.1145/3430116.3430117","url":null,"abstract":"The influence of space weather on the state of the ionosphere is most pronounced during disturbances. In the present paper, this effect is estimated from changes of the total electron content TEC and the critical frequency foF2. For the study, March 2012 was selected, which includes two periods: March 7-17 and March 21-31. The first period includes four strong magnetic storms and is well documented in the literature in terms of the behavior of solar and geomagnetic parameters. The second period is characterized by an increase in TEC over almost the entire period. Latitudinal variations of TEC in the range 30° - 80° N near the meridian of 15° E and their correlation coefficients with solar and geomagnetic parameters are obtained. Using vertical sounding data (foF2) for four European stations near the selected meridian, the latitudinal dependence of the equivalent slab thickness of the ionosphere was constructed over the entire range. This dependence made it possible to obtain the latitudinal response of the frequency foF2 on disturbances and to reveal features such as the transition from the zone of negative disturbances at high latitudes to positive disturbances at low latitudes in the first period, daily excess over the median in the second period. This response was compared with frequency behavior for the International Reference Ionosphere model IRI. It was shown that the IRI model does not adequately reflect the variation of foF2 during disturbances, however, an assessment of the latitudinal dependence of the accuracy of the model, when compared with the median, showed that the model provides results for the high-latitude region at level of the middle-latitude values with a decrease in accuracy with decreasing latitude.","PeriodicalId":285534,"journal":{"name":"Proceedings of the 9th International Conference on Telecommunications and Remote Sensing","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133840999","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Unmanned Traffic Management - Motivation and Future Perspectives 无人驾驶交通管理-动机和未来展望

Proceedings of the 9th International Conference on Telecommunications and Remote Sensing Pub Date : 2020-10-05 DOI: 10.1145/3430116.3430122

S. Hristozov, B. Shishkov

引用次数: 0