Pub Date : 2012-04-18DOI: 10.1109/SIU.2012.6204767
Orhan Firat, O. Tursun, F. Yarman-Vural
In literature, many target-specific methods are available for target detection on satellite images. Yet for many targets, intra-class variance is high. This situation results in decreased detection performance after generalization. Airfield is one of the targets with high intra-class variance in satellite images. This variance is caused by different compositions observed in airfields. Hence, approaches which aim at detecting airfields in specific regions and compositions are either unsuccessful or inapplicable to images taken from different regions. Context invariants make it possible to generalize target detection algorithms for varying target compositions and regions. In this study, context invariants are proposed for airfield region-of-interest detection and it is observed that context invariance plays an important role in developing robust and reliable algorithm for varying region, climate and compositions.
{"title":"Application of context invariants in airport region of interest detection for multi-spectral satellite imagery","authors":"Orhan Firat, O. Tursun, F. Yarman-Vural","doi":"10.1109/SIU.2012.6204767","DOIUrl":"https://doi.org/10.1109/SIU.2012.6204767","url":null,"abstract":"In literature, many target-specific methods are available for target detection on satellite images. Yet for many targets, intra-class variance is high. This situation results in decreased detection performance after generalization. Airfield is one of the targets with high intra-class variance in satellite images. This variance is caused by different compositions observed in airfields. Hence, approaches which aim at detecting airfields in specific regions and compositions are either unsuccessful or inapplicable to images taken from different regions. Context invariants make it possible to generalize target detection algorithms for varying target compositions and regions. In this study, context invariants are proposed for airfield region-of-interest detection and it is observed that context invariance plays an important role in developing robust and reliable algorithm for varying region, climate and compositions.","PeriodicalId":256154,"journal":{"name":"2012 20th Signal Processing and Communications Applications Conference (SIU)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115012469","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}
Pub Date : 2012-04-18DOI: 10.1109/SIU.2012.6204598
C. P. Uzunoğlu, M. Uğur
Chaotic ferroresonance is one of the disturbances of a power system, which may cause chaotic oscillations with over voltages and over currents. In order to protect system and keep it stable the frequency estimation should be fulfilled accurately. In this study first chaotic oscillations of ferroresonance are modeled with forced Duffing oscillator's dynamical equations. MUSIC (Multiple Signal Classification) and ESPRIT (Estimation of Parameters by Rotationally Invariant Technique) methods are proposed for frequency estimation of chaotically distorted power system signals. Frequency is estimated efficiently by using the MUSIC and ESPRIT methods. Finally, computer simulations have been carried out for the performance analysis of the proposed methods and the comparison results of the proposed methods based on the SNR (Signal to noise ratio) values are given.
混沌铁磁共振是电力系统的扰动之一，它会引起过电压和过电流的混沌振荡。为了保护系统，保持系统稳定，需要准确地完成频率估计。本文首先用强迫Duffing振子的动力学方程来模拟铁共振的混沌振荡。针对电力系统混沌失真信号的频率估计问题，提出了MUSIC (Multiple Signal Classification)和ESPRIT (Estimation of Parameters by rotrotinvariant Technique)方法。利用MUSIC和ESPRIT方法对频率进行了有效估计。最后，通过计算机仿真对所提方法进行了性能分析，并给出了基于信噪比(SNR)值的比较结果。
{"title":"Frequency estimation of power system signals with chaotic oscillations using music and esprit algorithms","authors":"C. P. Uzunoğlu, M. Uğur","doi":"10.1109/SIU.2012.6204598","DOIUrl":"https://doi.org/10.1109/SIU.2012.6204598","url":null,"abstract":"Chaotic ferroresonance is one of the disturbances of a power system, which may cause chaotic oscillations with over voltages and over currents. In order to protect system and keep it stable the frequency estimation should be fulfilled accurately. In this study first chaotic oscillations of ferroresonance are modeled with forced Duffing oscillator's dynamical equations. MUSIC (Multiple Signal Classification) and ESPRIT (Estimation of Parameters by Rotationally Invariant Technique) methods are proposed for frequency estimation of chaotically distorted power system signals. Frequency is estimated efficiently by using the MUSIC and ESPRIT methods. Finally, computer simulations have been carried out for the performance analysis of the proposed methods and the comparison results of the proposed methods based on the SNR (Signal to noise ratio) values are given.","PeriodicalId":256154,"journal":{"name":"2012 20th Signal Processing and Communications Applications Conference (SIU)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115125450","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}
Pub Date : 2012-04-18DOI: 10.1109/SIU.2012.6204714
Hakan Kaya, E. Öztürk
In this work, the error performance of the distributed Turbo coded cooperative systems in a multi-relay environment is investigated based on the number of relays and relay selection. First, one of two selected relays having best paths among M relays uses Amplify and Forward (AF) protocol, and the other one uses Decode and Forward (DF) protocol. Then, the component codes of the distributed parallel concatenated (Turbo) code are sent to receiver by these two relays. This type of a system is called Distributed Turbo Coded Cooperative Systems (DTCS). In addition, this system is compared with another system having a similar structure but only uses convolutional codes. Numerical results show that the DTSC outperforms the system including only convolutional code, with the increment of the total number of relays. On the other hand, the use of DF protocol rather than AF for the better relay among the two best relays gives a better performance in the DTSC system.
{"title":"Effects of opportunistic relay selection on the performance of distributed Turbo coded cooperative systems","authors":"Hakan Kaya, E. Öztürk","doi":"10.1109/SIU.2012.6204714","DOIUrl":"https://doi.org/10.1109/SIU.2012.6204714","url":null,"abstract":"In this work, the error performance of the distributed Turbo coded cooperative systems in a multi-relay environment is investigated based on the number of relays and relay selection. First, one of two selected relays having best paths among M relays uses Amplify and Forward (AF) protocol, and the other one uses Decode and Forward (DF) protocol. Then, the component codes of the distributed parallel concatenated (Turbo) code are sent to receiver by these two relays. This type of a system is called Distributed Turbo Coded Cooperative Systems (DTCS). In addition, this system is compared with another system having a similar structure but only uses convolutional codes. Numerical results show that the DTSC outperforms the system including only convolutional code, with the increment of the total number of relays. On the other hand, the use of DF protocol rather than AF for the better relay among the two best relays gives a better performance in the DTSC system.","PeriodicalId":256154,"journal":{"name":"2012 20th Signal Processing and Communications Applications Conference (SIU)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115247149","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}
Pub Date : 2012-04-18DOI: 10.1109/SIU.2012.6204750
G. M. Güvensen, Y. Tanik, A. O. Yılmaz
In this paper, a receiver architecture with reduced complexity is proposed for spread spectrum type communication with M-ary quasi orthogonal signaling. The proposed structure comprises of the channel and code matched filtering (MF) concatenated with a reduced state maximum likelihood sequence estimation (MLSE) type processing at symbol rate. MLSE, which takes the interference caused by nonideal cross- and autocorrelations of the spreading codes and multi-path channel into account, is directly applied to the unwhitenedmatched filter outputs. The hypothetical matched filter bound (MFB) is achieved by the proposed structure with the use of a reasonable number of states. By using the proposed reduced state Ungerboeck type MLSE based receiver, it is seen that M-ary quasi orthogonal signaling is an effective spread spectrum type modulation technique for multi-path channels with large delay spread at low power.
{"title":"Robust spread spectrum type communication with M-ary quasi orthogonal signaling for wireless fading channels","authors":"G. M. Güvensen, Y. Tanik, A. O. Yılmaz","doi":"10.1109/SIU.2012.6204750","DOIUrl":"https://doi.org/10.1109/SIU.2012.6204750","url":null,"abstract":"In this paper, a receiver architecture with reduced complexity is proposed for spread spectrum type communication with M-ary quasi orthogonal signaling. The proposed structure comprises of the channel and code matched filtering (MF) concatenated with a reduced state maximum likelihood sequence estimation (MLSE) type processing at symbol rate. MLSE, which takes the interference caused by nonideal cross- and autocorrelations of the spreading codes and multi-path channel into account, is directly applied to the unwhitenedmatched filter outputs. The hypothetical matched filter bound (MFB) is achieved by the proposed structure with the use of a reasonable number of states. By using the proposed reduced state Ungerboeck type MLSE based receiver, it is seen that M-ary quasi orthogonal signaling is an effective spread spectrum type modulation technique for multi-path channels with large delay spread at low power.","PeriodicalId":256154,"journal":{"name":"2012 20th Signal Processing and Communications Applications Conference (SIU)","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123490705","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}
Pub Date : 2012-04-18DOI: 10.1109/SIU.2012.6204547
Mashar Tekin, A. Saracoglu, E. Esen, M. Soysal, K. B. Logoglu, H. Sevimli, Tugrul K. Ates, A. Sevinç, Banu Oskay Acar, Ünal Zubari, Ezgi C. Ozan, Ilkay Atil, Mehmet Ali Arabaci, Seda Tankiz, Savas Özkan, Talha Karadeniz, D. Önür, Sezin Selçuk, T. Çiloglu, Aydin Alatan
Concept detection stands as an important problem for many applications like efficient indexing and retrieval in large video archives. In this work, for detection of diverse and distinct concepts a concept detection system (KavTan) that combines a variety of information sources under a single structure is proposed. The proposed system consists of Generalized Audio Concept Detection and Audio Keyword Detection sub-modules that use audio data and Generalized Visual Concept Detection, Video Text Detection, Human Detection, Nudity Detection, Blood Detection, Flag Detection and Skin Detection sub-modules that use visual data. Each concept is detected by using one or more of the mentioned modules. Proposed concept detection system is tested against multiple concepts and system performance is reported. It is observed that for most of the concepts high performance can be achieved with this approach.
{"title":"Multimodal concept detection on multimedia data- RTUK SKAAS KavTan system","authors":"Mashar Tekin, A. Saracoglu, E. Esen, M. Soysal, K. B. Logoglu, H. Sevimli, Tugrul K. Ates, A. Sevinç, Banu Oskay Acar, Ünal Zubari, Ezgi C. Ozan, Ilkay Atil, Mehmet Ali Arabaci, Seda Tankiz, Savas Özkan, Talha Karadeniz, D. Önür, Sezin Selçuk, T. Çiloglu, Aydin Alatan","doi":"10.1109/SIU.2012.6204547","DOIUrl":"https://doi.org/10.1109/SIU.2012.6204547","url":null,"abstract":"Concept detection stands as an important problem for many applications like efficient indexing and retrieval in large video archives. In this work, for detection of diverse and distinct concepts a concept detection system (KavTan) that combines a variety of information sources under a single structure is proposed. The proposed system consists of Generalized Audio Concept Detection and Audio Keyword Detection sub-modules that use audio data and Generalized Visual Concept Detection, Video Text Detection, Human Detection, Nudity Detection, Blood Detection, Flag Detection and Skin Detection sub-modules that use visual data. Each concept is detected by using one or more of the mentioned modules. Proposed concept detection system is tested against multiple concepts and system performance is reported. It is observed that for most of the concepts high performance can be achieved with this approach.","PeriodicalId":256154,"journal":{"name":"2012 20th Signal Processing and Communications Applications Conference (SIU)","volume":"153 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122965592","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}
Pub Date : 2012-04-18DOI: 10.1109/SIU.2012.6204703
Orhan Sonmez, A. Cemgil
Most of the state-of-the-art reinforcement learning algorithms are based on Bellman equations and make use of fixed-point iteration methods to converge to suboptimal solutions. However, some of the recent approaches transform the reinforcement learning problem into an equivalent likelihood maximization problem with using appropriate graphical models. Hence, it allows the adoption of probabilistic inference methods. Here, we propose an expectation-maximization method that employs importance sampling in its E-step in order to estimate the likelihood and then to determine the optimal policy.
{"title":"Importance sampling for model-based reinforcement learning","authors":"Orhan Sonmez, A. Cemgil","doi":"10.1109/SIU.2012.6204703","DOIUrl":"https://doi.org/10.1109/SIU.2012.6204703","url":null,"abstract":"Most of the state-of-the-art reinforcement learning algorithms are based on Bellman equations and make use of fixed-point iteration methods to converge to suboptimal solutions. However, some of the recent approaches transform the reinforcement learning problem into an equivalent likelihood maximization problem with using appropriate graphical models. Hence, it allows the adoption of probabilistic inference methods. Here, we propose an expectation-maximization method that employs importance sampling in its E-step in order to estimate the likelihood and then to determine the optimal policy.","PeriodicalId":256154,"journal":{"name":"2012 20th Signal Processing and Communications Applications Conference (SIU)","volume":"30 6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122178505","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}
Pub Date : 2012-04-18DOI: 10.1109/SIU.2012.6204757
M. Soysal, Aydin Alatan
A novel scene recognition method that utilizes local appearance descriptions together with geometrical invariants for multiview scene matching is presented in this paper. The rationale behind this effort is to complement the lowered discriminative capacity of local features, with invariant geometric descriptions. Presented method is evaluated by comparison with a prominent baseline method, which utilizes Random Sample Consensus (RANSAC) for robust 2D affine invariant transform estimation. Experimental results have revealed the superiority of the presented method which utilizes 3D geometric invariants over the baseline robust 2D transform estimation method, especially in typical scenes for which planarity assumption does not hold.
{"title":"Multiview scene matching using local features and invariant geometric constraints","authors":"M. Soysal, Aydin Alatan","doi":"10.1109/SIU.2012.6204757","DOIUrl":"https://doi.org/10.1109/SIU.2012.6204757","url":null,"abstract":"A novel scene recognition method that utilizes local appearance descriptions together with geometrical invariants for multiview scene matching is presented in this paper. The rationale behind this effort is to complement the lowered discriminative capacity of local features, with invariant geometric descriptions. Presented method is evaluated by comparison with a prominent baseline method, which utilizes Random Sample Consensus (RANSAC) for robust 2D affine invariant transform estimation. Experimental results have revealed the superiority of the presented method which utilizes 3D geometric invariants over the baseline robust 2D transform estimation method, especially in typical scenes for which planarity assumption does not hold.","PeriodicalId":256154,"journal":{"name":"2012 20th Signal Processing and Communications Applications Conference (SIU)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114065055","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}
Pub Date : 2012-04-18DOI: 10.1109/SIU.2012.6204687
H. Akan, U. Demirok, N. Kiliç
In this study, Bayesian and, Decision Trees classifiers are used for the automatic diagnosis of the diabetes disease. 17 attributes of the diabetics has been reduced to 4 attributes using principal component analysis and sequential forward selection algorithm. The performances of the classifiers obtained from the use of the dimension reduction techniques are compared. Thus, dimension reduction methods to examine the positive effects on both the results and is intended to reduce the workload of the machine learning. End of the study, it has been seen that Decision Trees Algorithm provides the highest performance criterion and Principle Component Analysis gives the best classifying results. The study produces the importance of the dimension reduction techniques to process the big demensional datas.
{"title":"The effect of feature reduction techniques on diagnosis of diabetes","authors":"H. Akan, U. Demirok, N. Kiliç","doi":"10.1109/SIU.2012.6204687","DOIUrl":"https://doi.org/10.1109/SIU.2012.6204687","url":null,"abstract":"In this study, Bayesian and, Decision Trees classifiers are used for the automatic diagnosis of the diabetes disease. 17 attributes of the diabetics has been reduced to 4 attributes using principal component analysis and sequential forward selection algorithm. The performances of the classifiers obtained from the use of the dimension reduction techniques are compared. Thus, dimension reduction methods to examine the positive effects on both the results and is intended to reduce the workload of the machine learning. End of the study, it has been seen that Decision Trees Algorithm provides the highest performance criterion and Principle Component Analysis gives the best classifying results. The study produces the importance of the dimension reduction techniques to process the big demensional datas.","PeriodicalId":256154,"journal":{"name":"2012 20th Signal Processing and Communications Applications Conference (SIU)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126385441","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}
Pub Date : 2012-04-18DOI: 10.1109/SIU.2012.6204492
M. Toycan, Ademola Kaka, V. Bashiry, S. Abbasoğlu
In this paper, the combination of concentric square loop and the Koch curve fractal geometries based microstrip antenna design for ultra wideband (UWB) applications is presented. This fractal structure is implemented on a empty square. Three progressively concentric square loop is applied inside the empty square and a full square is applied to the center for the first iteration. Then, a Koch curve fractal is applied to the lines of the first iteration. The proposed antenna is miniaturized (44 × 43 mm2) and has multi-band characteristics. Simulation results show that the presented antenna has a reflection coefficient characteristic <; -15dB, 80% radiation efficiency, 4-6dBi antenna gain and omni-directional radiation pattern properties over the full UWB bandwidth (3.1 - 10.6 GHz) while showing the band-rejection performance in the frequency band of 4.75-6.75 GHz.
{"title":"Multi-band and miniaturized antenna design for ultra wide band applications with band rejection characteristic","authors":"M. Toycan, Ademola Kaka, V. Bashiry, S. Abbasoğlu","doi":"10.1109/SIU.2012.6204492","DOIUrl":"https://doi.org/10.1109/SIU.2012.6204492","url":null,"abstract":"In this paper, the combination of concentric square loop and the Koch curve fractal geometries based microstrip antenna design for ultra wideband (UWB) applications is presented. This fractal structure is implemented on a empty square. Three progressively concentric square loop is applied inside the empty square and a full square is applied to the center for the first iteration. Then, a Koch curve fractal is applied to the lines of the first iteration. The proposed antenna is miniaturized (44 × 43 mm2) and has multi-band characteristics. Simulation results show that the presented antenna has a reflection coefficient characteristic <; -15dB, 80% radiation efficiency, 4-6dBi antenna gain and omni-directional radiation pattern properties over the full UWB bandwidth (3.1 - 10.6 GHz) while showing the band-rejection performance in the frequency band of 4.75-6.75 GHz.","PeriodicalId":256154,"journal":{"name":"2012 20th Signal Processing and Communications Applications Conference (SIU)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129766306","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}
Pub Date : 2012-04-18DOI: 10.1109/SIU.2012.6204766
M. S. Sapaz, F. Arıkan, T. Gulyaeva
In this study, the effects of height of the ionospheric thin shell, neighboring stations and satellite positions on the ionospheric pierce points are investigated by using the data obtained from TNPGN-Active GPS TRIMBLE receivers in Turkey and North Cyprus. For this purpose, Total Electron Content (TEC) value along the path between receiver and satellite, Slant Ray Total Electron Content (STEC) are examined for each satellite and receiver pair. Hence, the data obtained from GPS stations is processed and ionospheric pierce points along the way between receiver and satellite are calculated by considering geographical coordinates of GPS stations. In order to determine the appropriate sampling intervals in the STEC model specific to Turkey, the distance between pierce points are investigated. At the ionospheric heights between 200 km and 450 km, the arc lengths between pierce points are reasonable and proportional to the distance between neighborhoods. Depending on these results, the distance between pierce points represents appropriate sampling intervals for the stations in Turkey.
{"title":"Investigation of ionospheric pierce points for TNPGN-active network","authors":"M. S. Sapaz, F. Arıkan, T. Gulyaeva","doi":"10.1109/SIU.2012.6204766","DOIUrl":"https://doi.org/10.1109/SIU.2012.6204766","url":null,"abstract":"In this study, the effects of height of the ionospheric thin shell, neighboring stations and satellite positions on the ionospheric pierce points are investigated by using the data obtained from TNPGN-Active GPS TRIMBLE receivers in Turkey and North Cyprus. For this purpose, Total Electron Content (TEC) value along the path between receiver and satellite, Slant Ray Total Electron Content (STEC) are examined for each satellite and receiver pair. Hence, the data obtained from GPS stations is processed and ionospheric pierce points along the way between receiver and satellite are calculated by considering geographical coordinates of GPS stations. In order to determine the appropriate sampling intervals in the STEC model specific to Turkey, the distance between pierce points are investigated. At the ionospheric heights between 200 km and 450 km, the arc lengths between pierce points are reasonable and proportional to the distance between neighborhoods. Depending on these results, the distance between pierce points represents appropriate sampling intervals for the stations in Turkey.","PeriodicalId":256154,"journal":{"name":"2012 20th Signal Processing and Communications Applications Conference (SIU)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129416400","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}
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