Pub Date : 2017-09-01DOI: 10.1109/ICPCSI.2017.8392155
Khushaboo Rani Shandilya, U. Patel
In this modern generation almost every power supplies are non-linear loads which contains electronic devices that do not conduct current over the full cycle of the applied voltage, and thus they introduce harmonics into the power network. Electronic front end of non linear load makes them more efficient than linear loads and these non-linear front ends are one of the source of harmonic. Harmonic is nothing but a signal or a wave having frequency is an integral (whole-number) multiple of the frequency of some reference signal or wave or fundamental frequency. Harmonic causes losses in the power distribution network and can lead to increased cost due to maintenance, failures or device de-rating and thus decreases the power quality of the power distribution network. Power quality may be defined as a set of electrical characteristics that allows a piece of equipment to function in its desired manner without any interruption and significant loss of performance or life expectancy. Total harmonic distortion (THD) is an important figure of merit used to quantify the level of harmonics in voltage or current waveforms. In this paper Distribution Static Compensator (DSTATCOM) with Synchronous Reference Frame based control which taking into account Three-Level Cascaded multi level Inverter for minimization of harmonics in Power System. This Three level Cascaded multilevel inverter supply low harmonics distortion, reduced number of switches, suppression of switching losses and take out the Total Harmonics Distortion (THD).
{"title":"Mitigation of total harmonic distortion using cascaded MLI-DSTATCOM in distribution network","authors":"Khushaboo Rani Shandilya, U. Patel","doi":"10.1109/ICPCSI.2017.8392155","DOIUrl":"https://doi.org/10.1109/ICPCSI.2017.8392155","url":null,"abstract":"In this modern generation almost every power supplies are non-linear loads which contains electronic devices that do not conduct current over the full cycle of the applied voltage, and thus they introduce harmonics into the power network. Electronic front end of non linear load makes them more efficient than linear loads and these non-linear front ends are one of the source of harmonic. Harmonic is nothing but a signal or a wave having frequency is an integral (whole-number) multiple of the frequency of some reference signal or wave or fundamental frequency. Harmonic causes losses in the power distribution network and can lead to increased cost due to maintenance, failures or device de-rating and thus decreases the power quality of the power distribution network. Power quality may be defined as a set of electrical characteristics that allows a piece of equipment to function in its desired manner without any interruption and significant loss of performance or life expectancy. Total harmonic distortion (THD) is an important figure of merit used to quantify the level of harmonics in voltage or current waveforms. In this paper Distribution Static Compensator (DSTATCOM) with Synchronous Reference Frame based control which taking into account Three-Level Cascaded multi level Inverter for minimization of harmonics in Power System. This Three level Cascaded multilevel inverter supply low harmonics distortion, reduced number of switches, suppression of switching losses and take out the Total Harmonics Distortion (THD).","PeriodicalId":6589,"journal":{"name":"2017 IEEE International Conference on Power, Control, Signals and Instrumentation Engineering (ICPCSI)","volume":"1 1","pages":"2439-2445"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85390076","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 : 2017-09-01DOI: 10.1109/ICPCSI.2017.8392097
M. Jayalaxmi, J. Dhanaselvam, R. Swathi, M. Babu
OBJECTIVE: The main aim is to differentiate the various types of lung nodules using the SVM classifier. By identifying the lung nodules, the cause of lung cancer can be avoided. METHODOLOGY: The major contributions in this system are (i) Patch based division, to partition the original images (ii) Feature extraction stage, to extract feature information (iii) Classification stage, to classify the four types of lung nodules with the help of SVM classifier with pLSA. FINDINGS: This system has an improvement with the Local Tetra Pattern (LTrP) to provide more feature information. This pattern extracts feature information from more than two direction to give accurate results. IMPROVEMENT: This system can be improved with different classifier to achieve accurate classification.
{"title":"Classification of lung nodules with feature extraction using CT scan images","authors":"M. Jayalaxmi, J. Dhanaselvam, R. Swathi, M. Babu","doi":"10.1109/ICPCSI.2017.8392097","DOIUrl":"https://doi.org/10.1109/ICPCSI.2017.8392097","url":null,"abstract":"OBJECTIVE: The main aim is to differentiate the various types of lung nodules using the SVM classifier. By identifying the lung nodules, the cause of lung cancer can be avoided. METHODOLOGY: The major contributions in this system are (i) Patch based division, to partition the original images (ii) Feature extraction stage, to extract feature information (iii) Classification stage, to classify the four types of lung nodules with the help of SVM classifier with pLSA. FINDINGS: This system has an improvement with the Local Tetra Pattern (LTrP) to provide more feature information. This pattern extracts feature information from more than two direction to give accurate results. IMPROVEMENT: This system can be improved with different classifier to achieve accurate classification.","PeriodicalId":6589,"journal":{"name":"2017 IEEE International Conference on Power, Control, Signals and Instrumentation Engineering (ICPCSI)","volume":"117 1","pages":"2146-2151"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79736092","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 : 2017-09-01DOI: 10.1109/ICPCSI.2017.8392282
S. Isac, S. Srinath
This paper introduces a novel current control method to regulate the capacitor voltage of DStatcom and thereby improve the quality of electrical power in the distribution system continuously. Proportional Integral controller seems to be appropriate in regulation of voltage and that is limited to some extent. The proposed control strategy regulates the capacitor voltage of DStatcom along with elimination of power quality problems. A vector based Hysteresis current controller is used with hysteresis comparators in multilevel integrated with a switching table which shows fast transient response for load parameter variations. An evaluation is carried out with MATLAB/Simulink and it shows excellent performance. The performance of the method is found good for DStatcom with both balanced linear and nonlinear loads.
{"title":"Implementation of novel vector based current control method for DC capacitor voltage regulation in DStatcom","authors":"S. Isac, S. Srinath","doi":"10.1109/ICPCSI.2017.8392282","DOIUrl":"https://doi.org/10.1109/ICPCSI.2017.8392282","url":null,"abstract":"This paper introduces a novel current control method to regulate the capacitor voltage of DStatcom and thereby improve the quality of electrical power in the distribution system continuously. Proportional Integral controller seems to be appropriate in regulation of voltage and that is limited to some extent. The proposed control strategy regulates the capacitor voltage of DStatcom along with elimination of power quality problems. A vector based Hysteresis current controller is used with hysteresis comparators in multilevel integrated with a switching table which shows fast transient response for load parameter variations. An evaluation is carried out with MATLAB/Simulink and it shows excellent performance. The performance of the method is found good for DStatcom with both balanced linear and nonlinear loads.","PeriodicalId":6589,"journal":{"name":"2017 IEEE International Conference on Power, Control, Signals and Instrumentation Engineering (ICPCSI)","volume":"35 1","pages":"3030-3035"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84535753","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 : 2017-09-01DOI: 10.1109/ICPCSI.2017.8391914
K. Bilal, A. Mohamed
Cognitive radio technology has come out to solve the problem of bandwidth scarcity by allowing the unlicensed users to use the licensed bands opportunistically. Spectrum sensing is the basic and essential mechanisms of Cognitive Radio to find the unused Spectrum. This paper, focus on the performance evaluation of energy detection spectrum sensing of cognitive radio network in term of bit error rate versus signal to noise ratio for M-ary phase shift keying modulation schemes, over Rayleigh fading channel and AWGN. The cognitive radio network was designed firstly as computer model showed the sequence of processes in cognitive radio system and then the simulation of cognitive radio network was performed using MATLAB simulation. The results show that as the number of Mary increase the bit error rate increased while the bit error rate decreased as the signal to noise ratio increased.
{"title":"BER performance evaluation of cognitive radio network using M-ary PSK over Rayleigh fading channel","authors":"K. Bilal, A. Mohamed","doi":"10.1109/ICPCSI.2017.8391914","DOIUrl":"https://doi.org/10.1109/ICPCSI.2017.8391914","url":null,"abstract":"Cognitive radio technology has come out to solve the problem of bandwidth scarcity by allowing the unlicensed users to use the licensed bands opportunistically. Spectrum sensing is the basic and essential mechanisms of Cognitive Radio to find the unused Spectrum. This paper, focus on the performance evaluation of energy detection spectrum sensing of cognitive radio network in term of bit error rate versus signal to noise ratio for M-ary phase shift keying modulation schemes, over Rayleigh fading channel and AWGN. The cognitive radio network was designed firstly as computer model showed the sequence of processes in cognitive radio system and then the simulation of cognitive radio network was performed using MATLAB simulation. The results show that as the number of Mary increase the bit error rate increased while the bit error rate decreased as the signal to noise ratio increased.","PeriodicalId":6589,"journal":{"name":"2017 IEEE International Conference on Power, Control, Signals and Instrumentation Engineering (ICPCSI)","volume":"9 42 1","pages":"109-112"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81792308","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 : 2017-09-01DOI: 10.1109/ICPCSI.2017.8391812
Vinay Gupta, Prateek Raj, A. Yadav
With the growing demand of energy across the globe, different sources and alternatives of energy has been invented or improved but PV system has been proven to be the best energy generating source. This type of dependency on solar energy is seen due to its perpetual source of energy and negligible side effect. But the efficiency of solar cell is affected due to many internal factors (due to component used in manufacturing) as well as external/environmental factors (wind, dust, humidity, location etc.). The objective of this project is to analyse the effect of dust on the performance of PV system in Manipal University, Jaipur with the use of LABVIEW based data logger. All the important parameters (open circuit voltage, short circuit current, output power etc.) related to both the panels were noted down and compared with the use of characteristic curve. It was observed that reduction in power generation of unclean panel was 9% after 55 days.
{"title":"Investigate the effect of dust deposition on the performance of solar PV module using LABVIEW based data logger","authors":"Vinay Gupta, Prateek Raj, A. Yadav","doi":"10.1109/ICPCSI.2017.8391812","DOIUrl":"https://doi.org/10.1109/ICPCSI.2017.8391812","url":null,"abstract":"With the growing demand of energy across the globe, different sources and alternatives of energy has been invented or improved but PV system has been proven to be the best energy generating source. This type of dependency on solar energy is seen due to its perpetual source of energy and negligible side effect. But the efficiency of solar cell is affected due to many internal factors (due to component used in manufacturing) as well as external/environmental factors (wind, dust, humidity, location etc.). The objective of this project is to analyse the effect of dust on the performance of PV system in Manipal University, Jaipur with the use of LABVIEW based data logger. All the important parameters (open circuit voltage, short circuit current, output power etc.) related to both the panels were noted down and compared with the use of characteristic curve. It was observed that reduction in power generation of unclean panel was 9% after 55 days.","PeriodicalId":6589,"journal":{"name":"2017 IEEE International Conference on Power, Control, Signals and Instrumentation Engineering (ICPCSI)","volume":"20 1","pages":"742-747"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81841187","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 : 2017-09-01DOI: 10.1109/ICPCSI.2017.8392305
Deep Prakash Kaucha, P. Prasad, A. Alsadoon, A. Elchouemi, Sasikumaran Sreedharan
Image processing techniques are now commonly used in the medical field for early detection of diseases. This research aims to improve accuracy, sensitivity and specificity of early detection of lung cancer through a combination of image processing techniques and data mining. The Computed Tomography (CT) scan image of the lungs is pre-processed and the Region of Interest (ROI) segmented, retained and compressed using a DWT (Discrete Waveform Transform) technique. The resulting ROI image is decomposed into four sub frequencies, bands LL, HL, LH, and HH. Again, the LL sub frequency is decomposed into four sub-bands, applying a 2-level DWT to the ROI based image. Further, features such as entropy, co-relation, energy, variance and homogeneity are extracted from the 2-level DWT images using a GLCM (Gray level Co-occurrence Matrix) with classification effected by means of an SVM (Support Vector Machine). Classification identifies whether the CT image is normal or cancerous. The Lung Image Database Consortium dataset (LIDC) has been used for training and testing purpose for this study. A Receiver Operating Characteristics (ROC) curve is used to analyze the performance of the system. Overall the system has accuracy of 95.16%, sensitivity of 98.21% and specificity of 78.69%.
{"title":"Early detection of lung cancer using SVM classifier in biomedical image processing","authors":"Deep Prakash Kaucha, P. Prasad, A. Alsadoon, A. Elchouemi, Sasikumaran Sreedharan","doi":"10.1109/ICPCSI.2017.8392305","DOIUrl":"https://doi.org/10.1109/ICPCSI.2017.8392305","url":null,"abstract":"Image processing techniques are now commonly used in the medical field for early detection of diseases. This research aims to improve accuracy, sensitivity and specificity of early detection of lung cancer through a combination of image processing techniques and data mining. The Computed Tomography (CT) scan image of the lungs is pre-processed and the Region of Interest (ROI) segmented, retained and compressed using a DWT (Discrete Waveform Transform) technique. The resulting ROI image is decomposed into four sub frequencies, bands LL, HL, LH, and HH. Again, the LL sub frequency is decomposed into four sub-bands, applying a 2-level DWT to the ROI based image. Further, features such as entropy, co-relation, energy, variance and homogeneity are extracted from the 2-level DWT images using a GLCM (Gray level Co-occurrence Matrix) with classification effected by means of an SVM (Support Vector Machine). Classification identifies whether the CT image is normal or cancerous. The Lung Image Database Consortium dataset (LIDC) has been used for training and testing purpose for this study. A Receiver Operating Characteristics (ROC) curve is used to analyze the performance of the system. Overall the system has accuracy of 95.16%, sensitivity of 98.21% and specificity of 78.69%.","PeriodicalId":6589,"journal":{"name":"2017 IEEE International Conference on Power, Control, Signals and Instrumentation Engineering (ICPCSI)","volume":"82 1","pages":"3143-3148"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82309206","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 : 2017-09-01DOI: 10.1109/ICPCSI.2017.8392273
M. Selvi
Radio on Free Space Optics — RoFSO is cost effective and efficient in transferring high data rate that can be compared with optical fiber transmission. OFDM based FSO can further increase the data rate and at the same time can overcome the drawbacks of atmospheric turbulence of the free space like scintillation effect that has been considered in this paper. OFDM based FSO is an emerging solution for “last mile” broadband connectivity where deployment of fiber is not possible. Besides this it is also possible to use FSO for Inter chip connectivity, interplanetary communication etc. Using OFDM in optical domain must be power efficient so that the amount of DC bias added to the OFDM signal to make it unipolar is less. Performance of the PSK baseband modulated OFDM based FSO system with three different Linear Companding Transform-LNST, ALCT and CLCT is studied. The comparative study shows that, of the three transforms, CLCT performs better providing 20% power efficiency. Also it has the flexibility in the choice of number of subcarrier for transmission, as the PAPR remains same for change in number of subcarrier. 2 — 5 dB performance of CLCT companded OFDM is better than the other two transforms.
{"title":"Improving power efficiency of OFDM based FSO system using linear companding transform","authors":"M. Selvi","doi":"10.1109/ICPCSI.2017.8392273","DOIUrl":"https://doi.org/10.1109/ICPCSI.2017.8392273","url":null,"abstract":"Radio on Free Space Optics — RoFSO is cost effective and efficient in transferring high data rate that can be compared with optical fiber transmission. OFDM based FSO can further increase the data rate and at the same time can overcome the drawbacks of atmospheric turbulence of the free space like scintillation effect that has been considered in this paper. OFDM based FSO is an emerging solution for “last mile” broadband connectivity where deployment of fiber is not possible. Besides this it is also possible to use FSO for Inter chip connectivity, interplanetary communication etc. Using OFDM in optical domain must be power efficient so that the amount of DC bias added to the OFDM signal to make it unipolar is less. Performance of the PSK baseband modulated OFDM based FSO system with three different Linear Companding Transform-LNST, ALCT and CLCT is studied. The comparative study shows that, of the three transforms, CLCT performs better providing 20% power efficiency. Also it has the flexibility in the choice of number of subcarrier for transmission, as the PAPR remains same for change in number of subcarrier. 2 — 5 dB performance of CLCT companded OFDM is better than the other two transforms.","PeriodicalId":6589,"journal":{"name":"2017 IEEE International Conference on Power, Control, Signals and Instrumentation Engineering (ICPCSI)","volume":"44 1","pages":"2987-2992"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80266015","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 : 2017-09-01DOI: 10.1109/icpcsi.2017.8392174
B. Kiran Bala, I. I. Raj
To identify the variation between tumor and breast cancer in earlier stage itself with the help of mammogram images by using MIAS database. To extract the best transforms in frequency domain with the help of comparative analysis of result, The proposed sectional metric for the identification for the input images like age wise, left and right image taken in this process and finally from the result system taken this transform for the entire process.
{"title":"Comparative and identification of exact frequency domain approaches by using mammogram images","authors":"B. Kiran Bala, I. I. Raj","doi":"10.1109/icpcsi.2017.8392174","DOIUrl":"https://doi.org/10.1109/icpcsi.2017.8392174","url":null,"abstract":"To identify the variation between tumor and breast cancer in earlier stage itself with the help of mammogram images by using MIAS database. To extract the best transforms in frequency domain with the help of comparative analysis of result, The proposed sectional metric for the identification for the input images like age wise, left and right image taken in this process and finally from the result system taken this transform for the entire process.","PeriodicalId":6589,"journal":{"name":"2017 IEEE International Conference on Power, Control, Signals and Instrumentation Engineering (ICPCSI)","volume":"28 1","pages":"2536-2538"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80507391","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 : 2017-09-01DOI: 10.1109/ICPCSI.2017.8392319
M. Habyarimana, D. Dorrell
An inrush current is produced when an electric load is turned on. For an induction motor this current can reach 5–10 times the full-load current. This transient current can cause issues in large machines attached to weak grid connections. To protect the grid connection this paper explores ways that the starting current can be reduced. Standard starting techniques are reviewed then the starting energy and reactive power requirements are examined by way of example. These illustrate that to some degree the starting current can be reduced with a tuned capacitor bank; however, for better reduction then an energy storage unit is used, such as a battery or a storage capacitor, and this is accessed through a PWM inverter for charging and discharging.
{"title":"Methods to reduce the starting current of an induction motor","authors":"M. Habyarimana, D. Dorrell","doi":"10.1109/ICPCSI.2017.8392319","DOIUrl":"https://doi.org/10.1109/ICPCSI.2017.8392319","url":null,"abstract":"An inrush current is produced when an electric load is turned on. For an induction motor this current can reach 5–10 times the full-load current. This transient current can cause issues in large machines attached to weak grid connections. To protect the grid connection this paper explores ways that the starting current can be reduced. Standard starting techniques are reviewed then the starting energy and reactive power requirements are examined by way of example. These illustrate that to some degree the starting current can be reduced with a tuned capacitor bank; however, for better reduction then an energy storage unit is used, such as a battery or a storage capacitor, and this is accessed through a PWM inverter for charging and discharging.","PeriodicalId":6589,"journal":{"name":"2017 IEEE International Conference on Power, Control, Signals and Instrumentation Engineering (ICPCSI)","volume":"331 1","pages":"34-38"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80508401","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 : 2017-09-01DOI: 10.1109/ICPCSI.2017.8391862
B. Priyanka, U.V. Ratna Kmari
In the developing world, the usage of mobile phones and other data communication devices are unavoidable which results in congestion of spectrum. Cognitive Radio is a technology which helps us to use spectrum efficiently. Cognitive Radio offers a solution by utilizing the spectrum holes that represent the potential opportunities for non-interfering use of spectrum which requires three main tasks — Spectrum Sensing, Spectrum Analysis and Spectrum Decision Making. Spectrum Sensing means ability to measure, sense and be aware of the parameters related to radio channel characteristics, availability of the spectrum and transmit power, interference and noise, radio's operating environment, user requirements and applications. The Overlay Cognitive Radio model makes it possible to have two concurrent transmissions in a given interference region, where conventionally only one communication can take place at a given time. In this paper, spectrum sensing methods namely Computationally Efficient Energy Detection, Logical Selection and Wideband Spectrum Sensing using Sub-Nyquist Sampling are discussed.
{"title":"Performance analysis of spectrum sensing detection techniques for overlay users","authors":"B. Priyanka, U.V. Ratna Kmari","doi":"10.1109/ICPCSI.2017.8391862","DOIUrl":"https://doi.org/10.1109/ICPCSI.2017.8391862","url":null,"abstract":"In the developing world, the usage of mobile phones and other data communication devices are unavoidable which results in congestion of spectrum. Cognitive Radio is a technology which helps us to use spectrum efficiently. Cognitive Radio offers a solution by utilizing the spectrum holes that represent the potential opportunities for non-interfering use of spectrum which requires three main tasks — Spectrum Sensing, Spectrum Analysis and Spectrum Decision Making. Spectrum Sensing means ability to measure, sense and be aware of the parameters related to radio channel characteristics, availability of the spectrum and transmit power, interference and noise, radio's operating environment, user requirements and applications. The Overlay Cognitive Radio model makes it possible to have two concurrent transmissions in a given interference region, where conventionally only one communication can take place at a given time. In this paper, spectrum sensing methods namely Computationally Efficient Energy Detection, Logical Selection and Wideband Spectrum Sensing using Sub-Nyquist Sampling are discussed.","PeriodicalId":6589,"journal":{"name":"2017 IEEE International Conference on Power, Control, Signals and Instrumentation Engineering (ICPCSI)","volume":"29 1","pages":"1006-1011"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80531032","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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