Pub Date : 2016-03-21DOI: 10.1109/SSD.2016.7473658
Alain Tcheukam Siwe, H. Tembine
In this paper we study the performance of hub-based airline networks. We design, model and analyze the interactions using mean-field-type game theory. We identify three types of interactions between within the game: interaction between passengers, passengers-airlines, and interaction between airlines. The key mean-field terms are the traffic flow (or frequency of flights), number of people at the same slot per flight/airline. In absence of congestion, there is a dominating strategy for a designer to adopt the Hub network leading a negation of Braess Paradox. However, when the frequency of flights increases due to demand, the Hub network is no longer superior and all the links will be used, leading to an Enhanced Hub Network. At an Enhanced Hub network, higher prices (could be congestion-dependent) are charged to passengers taking the longer direct flights compared to the ones who transit via the Hub. We show that the resulting Stackelberg mean-field-type game with multiple leaders and multiple followers has an equilibrium and the equilibrium payoffs are compared in both type of networks. An analogy with communication networks is established with hybrid small base stations (femto, pico) and macro base stations. The small cell base stations help to work with low-power regime and save some energy. However, the femto cell network alone does not cover the entire area and does not dominate the market. It is shared with the enhanced macro cell.
{"title":"Mean-field-type games on airline networks and airport queues: Braess paradox, its negation, and crowd effect","authors":"Alain Tcheukam Siwe, H. Tembine","doi":"10.1109/SSD.2016.7473658","DOIUrl":"https://doi.org/10.1109/SSD.2016.7473658","url":null,"abstract":"In this paper we study the performance of hub-based airline networks. We design, model and analyze the interactions using mean-field-type game theory. We identify three types of interactions between within the game: interaction between passengers, passengers-airlines, and interaction between airlines. The key mean-field terms are the traffic flow (or frequency of flights), number of people at the same slot per flight/airline. In absence of congestion, there is a dominating strategy for a designer to adopt the Hub network leading a negation of Braess Paradox. However, when the frequency of flights increases due to demand, the Hub network is no longer superior and all the links will be used, leading to an Enhanced Hub Network. At an Enhanced Hub network, higher prices (could be congestion-dependent) are charged to passengers taking the longer direct flights compared to the ones who transit via the Hub. We show that the resulting Stackelberg mean-field-type game with multiple leaders and multiple followers has an equilibrium and the equilibrium payoffs are compared in both type of networks. An analogy with communication networks is established with hybrid small base stations (femto, pico) and macro base stations. The small cell base stations help to work with low-power regime and save some energy. However, the femto cell network alone does not cover the entire area and does not dominate the market. It is shared with the enhanced macro cell.","PeriodicalId":149580,"journal":{"name":"2016 13th International Multi-Conference on Systems, Signals & Devices (SSD)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114351792","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 : 2016-03-21DOI: 10.1109/SSD.2016.7473673
A. Agha, A. Alfaoury
The economic benefit from the electric power system is obtained when all generations, transmissions, distributions and the end users are operating at their high efficiency. The higher efficiency tends to lower electrical energy losses. This paper concentrates on the electrical energy losses (ΔE) of the electrical system (ES), both the technical losses (ΔET) and the commercial losses (ΔEC), their types, values, and their impacts on the overall performance of the (ES), with a special focusing on (ΔEC and black losses "thefts" (ΔEBl). In this paper, the analysis of the (ΔE) in Jordanian (ES) for the period (2008-2014) including the (ΔEC) and (AEBl) is investigated and evaluated in details, the achieved results are compared to the works previously done in [1], where the losses analyses for the period (1998-2007) has been conducted and presented. This paper tries to furnish answers to the questions: where; how and up to which value we can minimize the commercial losses (ΔEC)? What is the economic influence of (ΔEC) in money (JD)? Finally, conclusions and recommendations on the achieved results is introduced and discussed.
{"title":"Commercial losses in Jordanian electrical system (Case study)","authors":"A. Agha, A. Alfaoury","doi":"10.1109/SSD.2016.7473673","DOIUrl":"https://doi.org/10.1109/SSD.2016.7473673","url":null,"abstract":"The economic benefit from the electric power system is obtained when all generations, transmissions, distributions and the end users are operating at their high efficiency. The higher efficiency tends to lower electrical energy losses. This paper concentrates on the electrical energy losses (ΔE) of the electrical system (ES), both the technical losses (ΔE<sub>T</sub>) and the commercial losses (ΔE<sub>C</sub>), their types, values, and their impacts on the overall performance of the (ES), with a special focusing on (ΔE<sub>C</sub> and black losses \"thefts\" (ΔE<sub>Bl</sub>). In this paper, the analysis of the (ΔE) in Jordanian (ES) for the period (2008-2014) including the (ΔE<sub>C</sub>) and (AE<sub>Bl</sub>) is investigated and evaluated in details, the achieved results are compared to the works previously done in [1], where the losses analyses for the period (1998-2007) has been conducted and presented. This paper tries to furnish answers to the questions: where; how and up to which value we can minimize the commercial losses (ΔE<sub>C</sub>)? What is the economic influence of (ΔE<sub>C</sub>) in money (JD)? Finally, conclusions and recommendations on the achieved results is introduced and discussed.","PeriodicalId":149580,"journal":{"name":"2016 13th International Multi-Conference on Systems, Signals & Devices (SSD)","volume":"208 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114577256","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 : 2016-03-21DOI: 10.1109/SSD.2016.7473676
Marwa Ayadi, F. B. Salem, N. Derbel
This paper aims to develop a novel pitch angle control for large variable speed wind turbine considering actuator dynamics. In fact, two Sliding Mode Controllers have been designed to achieve required performances. The first one is used below rated wind speed to maximize the extracted power. However, the second one is applied above rated wind speed to keep the power at the designed limits. Simulation results show good performances of the proposed control law.
{"title":"SMC for pitch angle of a variable speed PMSG-wind turbine considering actuator dynamics","authors":"Marwa Ayadi, F. B. Salem, N. Derbel","doi":"10.1109/SSD.2016.7473676","DOIUrl":"https://doi.org/10.1109/SSD.2016.7473676","url":null,"abstract":"This paper aims to develop a novel pitch angle control for large variable speed wind turbine considering actuator dynamics. In fact, two Sliding Mode Controllers have been designed to achieve required performances. The first one is used below rated wind speed to maximize the extracted power. However, the second one is applied above rated wind speed to keep the power at the designed limits. Simulation results show good performances of the proposed control law.","PeriodicalId":149580,"journal":{"name":"2016 13th International Multi-Conference on Systems, Signals & Devices (SSD)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115230720","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 : 2016-03-21DOI: 10.1109/SSD.2016.7473703
Imen Laamiri, H. Messaoud
In this paper we extend the Alternating RGLS (Recursive Generalized Least Square) algorithm proposed for the identification of the reduced complexity Volterra model describing stochastic nonlinear systems corrupted by AR (AutoRegressive) noise to case of systems corrupted by ARMA (AutoRegressive Moving Average) noise. The reduced Volterra model used is the 3rd order PARAFC-Volterra model provided using the PARAFAC (PARAllel FACtor) tensor decomposition of the Volterra kernels of order higher than two of the classical Volterra model. The recursive stochastic algorithm ARGLS (Alternating RGLS) consists of the execution in an alternating way of the classical RGLS algorithm developed to identify the linear stochastic input-output models. The efficiency of the proposed identification approach is proved using Monte Carlo simulation on a nonlinear satellite channel.
{"title":"Identification of nonlinear stochastic systems described by PARAFAC-Volterra","authors":"Imen Laamiri, H. Messaoud","doi":"10.1109/SSD.2016.7473703","DOIUrl":"https://doi.org/10.1109/SSD.2016.7473703","url":null,"abstract":"In this paper we extend the Alternating RGLS (Recursive Generalized Least Square) algorithm proposed for the identification of the reduced complexity Volterra model describing stochastic nonlinear systems corrupted by AR (AutoRegressive) noise to case of systems corrupted by ARMA (AutoRegressive Moving Average) noise. The reduced Volterra model used is the 3rd order PARAFC-Volterra model provided using the PARAFAC (PARAllel FACtor) tensor decomposition of the Volterra kernels of order higher than two of the classical Volterra model. The recursive stochastic algorithm ARGLS (Alternating RGLS) consists of the execution in an alternating way of the classical RGLS algorithm developed to identify the linear stochastic input-output models. The efficiency of the proposed identification approach is proved using Monte Carlo simulation on a nonlinear satellite channel.","PeriodicalId":149580,"journal":{"name":"2016 13th International Multi-Conference on Systems, Signals & Devices (SSD)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125343477","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 : 2016-03-21DOI: 10.1109/SSD.2016.7473662
K. Keitsch, T. Bruckner
In the face of a changing European power market, accurate electric load forecasts are of significant importance for power traders, power utility and grid operators to reduce costs for ancillary services. The following case study, based on publicly available load data, focuses on a novel approach to combine different forecasting methodologies and techniques from the area of computational intelligence. The proposed hybrid model blends input forecasts from artificial neuronal networks, multi variable linear regression and support vector regression machine models with fuzzy sets to intraday and day ahead forecasts. The forecasts are evaluated with commonly used metrics (mean average percentage error - MAPE & normalized rooted mean square error - NRMSE) to allow a comparison to other case studies. The results from the input forecasting models range from a yearly MAPE of 3.1% for the artificial neuronal network to 2.51% for the support vector machine. The blended forecast from the proposed hybrid model results in a MAPE of 1.2% for one hour and a MAPE of 2.03% for 24 hours ahead forecasts.
{"title":"Modular electrical demand forecasting framework — A novel hybrid model approach","authors":"K. Keitsch, T. Bruckner","doi":"10.1109/SSD.2016.7473662","DOIUrl":"https://doi.org/10.1109/SSD.2016.7473662","url":null,"abstract":"In the face of a changing European power market, accurate electric load forecasts are of significant importance for power traders, power utility and grid operators to reduce costs for ancillary services. The following case study, based on publicly available load data, focuses on a novel approach to combine different forecasting methodologies and techniques from the area of computational intelligence. The proposed hybrid model blends input forecasts from artificial neuronal networks, multi variable linear regression and support vector regression machine models with fuzzy sets to intraday and day ahead forecasts. The forecasts are evaluated with commonly used metrics (mean average percentage error - MAPE & normalized rooted mean square error - NRMSE) to allow a comparison to other case studies. The results from the input forecasting models range from a yearly MAPE of 3.1% for the artificial neuronal network to 2.51% for the support vector machine. The blended forecast from the proposed hybrid model results in a MAPE of 1.2% for one hour and a MAPE of 2.03% for 24 hours ahead forecasts.","PeriodicalId":149580,"journal":{"name":"2016 13th International Multi-Conference on Systems, Signals & Devices (SSD)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126079157","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 : 2016-03-21DOI: 10.1109/SSD.2016.7473768
Sana Ben Jemaâ-Boujelben, M. Feki
In this paper, a new way of chaotifying a permanent magnet direct current motor is proposed. The idea consists in applying a discrete time nonlinear control to the motor to set up the chaotic behavior. Two control methods are presented. The first one is achieved by imposing a nonlinear discrete controller based on the square of the motor speed and in this case simulation results show flip bifurcations routes to chaos with the switching period or the desired speed being the bifurcation parameters. The second method is based on a switching control, in this case a series of boundary collision bifurcations lead to chaotic behavior if we increase the gain of the controller.
{"title":"Chaotification of permanent magnet DC motor using discrete nonlinear control","authors":"Sana Ben Jemaâ-Boujelben, M. Feki","doi":"10.1109/SSD.2016.7473768","DOIUrl":"https://doi.org/10.1109/SSD.2016.7473768","url":null,"abstract":"In this paper, a new way of chaotifying a permanent magnet direct current motor is proposed. The idea consists in applying a discrete time nonlinear control to the motor to set up the chaotic behavior. Two control methods are presented. The first one is achieved by imposing a nonlinear discrete controller based on the square of the motor speed and in this case simulation results show flip bifurcations routes to chaos with the switching period or the desired speed being the bifurcation parameters. The second method is based on a switching control, in this case a series of boundary collision bifurcations lead to chaotic behavior if we increase the gain of the controller.","PeriodicalId":149580,"journal":{"name":"2016 13th International Multi-Conference on Systems, Signals & Devices (SSD)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124385557","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 : 2016-03-21DOI: 10.1109/SSD.2016.7473680
Mohammad M. Ali, Tariq Younis Ali
This paper presents an algorithm which is designed based on the adaptation of Straight-Line Equation parameters in order to detect and avoid both static and dynamic obstacles. A real-time measurement is collected making use of the already built-in nine infrared sensors along with the added ultrasonic sensor to increase the obstacle recognition range. The related control actions coming from the executing of the control algorithm are used to force the mobile robot movement through its three drive units to reach destination safely. This has been achieved by updating the required distance and orientation angle. The experimental results showed the effectiveness of the proposed algorithm in the sense of avoiding obstacles without collision and reaching the goal with minimum position error.
{"title":"Obstacles avoidance for omnidirectional mobile robot using line trajectory adaptation","authors":"Mohammad M. Ali, Tariq Younis Ali","doi":"10.1109/SSD.2016.7473680","DOIUrl":"https://doi.org/10.1109/SSD.2016.7473680","url":null,"abstract":"This paper presents an algorithm which is designed based on the adaptation of Straight-Line Equation parameters in order to detect and avoid both static and dynamic obstacles. A real-time measurement is collected making use of the already built-in nine infrared sensors along with the added ultrasonic sensor to increase the obstacle recognition range. The related control actions coming from the executing of the control algorithm are used to force the mobile robot movement through its three drive units to reach destination safely. This has been achieved by updating the required distance and orientation angle. The experimental results showed the effectiveness of the proposed algorithm in the sense of avoiding obstacles without collision and reaching the goal with minimum position error.","PeriodicalId":149580,"journal":{"name":"2016 13th International Multi-Conference on Systems, Signals & Devices (SSD)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126486300","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 : 2016-03-21DOI: 10.1109/SSD.2016.7473671
Ibtissem Belakhdar, W. Kaaniche, Ridha Djmel, B. Ouni
In the recent years, driver drowsiness has been considered one of the major causes of road accidents, which can lead to severe physical injuries, deaths and important economic losses. As a consequence, a reliable driver drowsiness-detection-system is necessary to alert the driver before an accident happens. For this reason, an Electroencephalogram (EEG) has recently drawn attention in the field of brain-computer interface and cognitive neuroscience to control and predict the human drowsiness state. Our objective in this work, is to proposed an automatic approach to detect the occurrence of driver drowsiness onset based on the Artificial Neuronal Network (ANN) and using only one EEG channel. In this study, an experiment has been conducted on ten human subjects using nine features computed from one EEG channel using the Fast Fourier Transform(FFT). After introducing these features in an ANN classifier, we have obtained a classification accuracy rate of 86.1% and 84.3% of drowsiness and alertness detection. All features used in this work are easy to calculate and can be determined in real time, which makes this approach adapted for embedded implementation.
{"title":"Detecting driver drowsiness based on single electroencephalography channel","authors":"Ibtissem Belakhdar, W. Kaaniche, Ridha Djmel, B. Ouni","doi":"10.1109/SSD.2016.7473671","DOIUrl":"https://doi.org/10.1109/SSD.2016.7473671","url":null,"abstract":"In the recent years, driver drowsiness has been considered one of the major causes of road accidents, which can lead to severe physical injuries, deaths and important economic losses. As a consequence, a reliable driver drowsiness-detection-system is necessary to alert the driver before an accident happens. For this reason, an Electroencephalogram (EEG) has recently drawn attention in the field of brain-computer interface and cognitive neuroscience to control and predict the human drowsiness state. Our objective in this work, is to proposed an automatic approach to detect the occurrence of driver drowsiness onset based on the Artificial Neuronal Network (ANN) and using only one EEG channel. In this study, an experiment has been conducted on ten human subjects using nine features computed from one EEG channel using the Fast Fourier Transform(FFT). After introducing these features in an ANN classifier, we have obtained a classification accuracy rate of 86.1% and 84.3% of drowsiness and alertness detection. All features used in this work are easy to calculate and can be determined in real time, which makes this approach adapted for embedded implementation.","PeriodicalId":149580,"journal":{"name":"2016 13th International Multi-Conference on Systems, Signals & Devices (SSD)","volume":"2013 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133824188","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 : 2016-03-21DOI: 10.1109/SSD.2016.7473656
Mohammed Rabeea Hashim Al-Dahhan, Mohammad M. Ali
Recently, the study and development of the mobile robot is considered as a very important issue for many researchers. This is because the wide range of mobile robot applications in real life. One of the most important mobile robot tasks is the control of its navigation in tracking its predefined path. This also need a good capability in avoiding any static or dynamic obstacles that the mobile robot face in its route until reaching its destination. The difficulty in finding a good mathematical model for tShe mobile robot used in this research "Robotino® from Festo company" made the decision to use fuzzy logic to design a controller capable to introduce a safe Robotino® navigation. Fuzzy logic controller needs information about Robotino® features and behavior in order to build its rule base which are inspired from human experience in such application. These rules can be easily programmed to bring out an efficient controller. Sugeno algorithm is implemented which the experiments results validated its efficiency. Fuzzy logic controller with 153-fuzzy rule is used for controlling the Robotino® path tracking issue, while another fuzzy logic controller with 27-fuzzy rule is applied for the Robotino® obstacle avoidance feature. Matlab is used as a tool to implement the two proposed fuzzy controllers. Many realtime experiments have been conducted in the Faculty of Engineering research laboratory at Philadelphia University. Results reflect the good abilities of the proposed controllers.
{"title":"Path tracking control of a mobile robot using fuzzy logic","authors":"Mohammed Rabeea Hashim Al-Dahhan, Mohammad M. Ali","doi":"10.1109/SSD.2016.7473656","DOIUrl":"https://doi.org/10.1109/SSD.2016.7473656","url":null,"abstract":"Recently, the study and development of the mobile robot is considered as a very important issue for many researchers. This is because the wide range of mobile robot applications in real life. One of the most important mobile robot tasks is the control of its navigation in tracking its predefined path. This also need a good capability in avoiding any static or dynamic obstacles that the mobile robot face in its route until reaching its destination. The difficulty in finding a good mathematical model for tShe mobile robot used in this research \"Robotino® from Festo company\" made the decision to use fuzzy logic to design a controller capable to introduce a safe Robotino® navigation. Fuzzy logic controller needs information about Robotino® features and behavior in order to build its rule base which are inspired from human experience in such application. These rules can be easily programmed to bring out an efficient controller. Sugeno algorithm is implemented which the experiments results validated its efficiency. Fuzzy logic controller with 153-fuzzy rule is used for controlling the Robotino® path tracking issue, while another fuzzy logic controller with 27-fuzzy rule is applied for the Robotino® obstacle avoidance feature. Matlab is used as a tool to implement the two proposed fuzzy controllers. Many realtime experiments have been conducted in the Faculty of Engineering research laboratory at Philadelphia University. Results reflect the good abilities of the proposed controllers.","PeriodicalId":149580,"journal":{"name":"2016 13th International Multi-Conference on Systems, Signals & Devices (SSD)","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132144660","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 : 2016-03-21DOI: 10.1109/SSD.2016.7473729
I. Barraj, Amel Neifar, H. Trabelsi, M. Masmoudi
This paper presents an on/off switched wideband three-stage voltage controlled ring oscillator for multiband ultra-wideband (UWB) systems. The ring oscillator is a part of UWB pulse generator, thus its oscillating frequency determines the central frequency of the pulse spectrum and has significant effect on spectrum fitting within UWB FCC mask. The oscillator has two control inputs, one for band switching and one for continuous control of the output frequency. The circuit was designed using ST 65nm CMOS process. Simulated data shows a very wide tuning range, approximately from 2.5GHz to 7GHz that the designed oscillator is suitable for ultra-wideband system applications. The phase noises at 1MHz and 10MHz offset are -89.2 dBc/Hz and -113.4 dBc/Hz, respectively.
{"title":"On/off wide tuning range voltage controlled ring oscillator for UWB pulse generator","authors":"I. Barraj, Amel Neifar, H. Trabelsi, M. Masmoudi","doi":"10.1109/SSD.2016.7473729","DOIUrl":"https://doi.org/10.1109/SSD.2016.7473729","url":null,"abstract":"This paper presents an on/off switched wideband three-stage voltage controlled ring oscillator for multiband ultra-wideband (UWB) systems. The ring oscillator is a part of UWB pulse generator, thus its oscillating frequency determines the central frequency of the pulse spectrum and has significant effect on spectrum fitting within UWB FCC mask. The oscillator has two control inputs, one for band switching and one for continuous control of the output frequency. The circuit was designed using ST 65nm CMOS process. Simulated data shows a very wide tuning range, approximately from 2.5GHz to 7GHz that the designed oscillator is suitable for ultra-wideband system applications. The phase noises at 1MHz and 10MHz offset are -89.2 dBc/Hz and -113.4 dBc/Hz, respectively.","PeriodicalId":149580,"journal":{"name":"2016 13th International Multi-Conference on Systems, Signals & Devices (SSD)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132134537","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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