Pub Date : 2018-03-29DOI: 10.1109/ICECA.2018.8474641
Asia Hazareena, B. Aziz Mustafa
OFDM is a multicarrier modulation technique which divides the high rate data stream in to multiple low rate data streams. The low rate data streams are modulated using subcarriers which are orthogonal to each other. The property of orthogonality allows simultaneous transmission of lot of subcarriers in a tight frequency space without interfering with each other, so the spectral efficiency in OFDM is improved. OFDM mitigates Inter Symbol Interference(ISI), since OFDM divides the wide band frequency selective fading channel in to many narrow flat sub channels. So OFDM is one of the dominant technology used in 4G/TD-LTE/LTE-Advanced communication systems. However OFDM can hardly meet the requirement for future 5G networks, since OFDM has high OOB and OFDM can support a only one kind of waveform in the whole Bandwidth. This paper presents a fair comparison of the waveform candidate for 5G. Basic principles and characteristics of 5G waveforms namely filter bank multi carrier (FBMC) universal filtered multicarrier(UFMC),generalized frequency division multiplexing (GFDM) and filtered OFDM (F-OFDM) are discussed.
{"title":"A Survey:On the Waveforms for 5G","authors":"Asia Hazareena, B. Aziz Mustafa","doi":"10.1109/ICECA.2018.8474641","DOIUrl":"https://doi.org/10.1109/ICECA.2018.8474641","url":null,"abstract":"OFDM is a multicarrier modulation technique which divides the high rate data stream in to multiple low rate data streams. The low rate data streams are modulated using subcarriers which are orthogonal to each other. The property of orthogonality allows simultaneous transmission of lot of subcarriers in a tight frequency space without interfering with each other, so the spectral efficiency in OFDM is improved. OFDM mitigates Inter Symbol Interference(ISI), since OFDM divides the wide band frequency selective fading channel in to many narrow flat sub channels. So OFDM is one of the dominant technology used in 4G/TD-LTE/LTE-Advanced communication systems. However OFDM can hardly meet the requirement for future 5G networks, since OFDM has high OOB and OFDM can support a only one kind of waveform in the whole Bandwidth. This paper presents a fair comparison of the waveform candidate for 5G. Basic principles and characteristics of 5G waveforms namely filter bank multi carrier (FBMC) universal filtered multicarrier(UFMC),generalized frequency division multiplexing (GFDM) and filtered OFDM (F-OFDM) are discussed.","PeriodicalId":272623,"journal":{"name":"2018 Second International Conference on Electronics, Communication and Aerospace Technology (ICECA)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126520886","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 : 2018-03-29DOI: 10.1109/ICECA.2018.8474803
Inadyuti Dutt, Samarjeet Borah, I. Maitra
Voluminous data with high velocity and variety have resulted in deceiving the security of internet and intranet facilities. The threats are either having some patterns or lack any definite patterns. Therefore, the data arriving at the network have number of features and wide variety of patterns. Firstly, the number of patterns needs to be reduced and then the filtered set of patterns could be used for detecting unknown threats. This paper presents an approach for developing an Intrusion Detection System (IDS) with the help of Principal Component Analysis (PCA) and machine learning algorithms in WEKA environment. The approach yields better performance by making the detection more effective. The results show highertrue positive and lower false positive ratesin comparison to the existing methods.
{"title":"A Proposed Machine Learning based Scheme for Intrusion Detection","authors":"Inadyuti Dutt, Samarjeet Borah, I. Maitra","doi":"10.1109/ICECA.2018.8474803","DOIUrl":"https://doi.org/10.1109/ICECA.2018.8474803","url":null,"abstract":"Voluminous data with high velocity and variety have resulted in deceiving the security of internet and intranet facilities. The threats are either having some patterns or lack any definite patterns. Therefore, the data arriving at the network have number of features and wide variety of patterns. Firstly, the number of patterns needs to be reduced and then the filtered set of patterns could be used for detecting unknown threats. This paper presents an approach for developing an Intrusion Detection System (IDS) with the help of Principal Component Analysis (PCA) and machine learning algorithms in WEKA environment. The approach yields better performance by making the detection more effective. The results show highertrue positive and lower false positive ratesin comparison to the existing methods.","PeriodicalId":272623,"journal":{"name":"2018 Second International Conference on Electronics, Communication and Aerospace Technology (ICECA)","volume":"8 9","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114106934","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 : 2018-03-29DOI: 10.1109/ICECA.2018.8474773
Aliya Shaikh, Manasi Thapar, D. Koli, Harshali Rambade
The conventional street lighting maintenance and control system still remains ancient in this era of revolution and technological advancement. The evolution of the Internet of Things (IoT) has been a benevolent cornerstone for such revolutionary giants of the web world. Thus we use this highly coveted technology to cater to the maintenance and control processes of street lighting system. The proposed system enables maintenance and control of the street lights and makes it easier to monitor and control its operation. The system will detect faults in the street lights to intimate the control room to take immediate action. This application will have the following features viz. automatic circuit fault detection, pole inclination detection and light sensing. It aims to design a smart electric pole which is free of any human intervention and provides quick maintenance functionality. In the current scenario, the street lights are switched ON at a pre-decided time every evening and is switched OFF the next morning. It also requires regular check-ups for electric pole defect. This project gives a solution for fast repairing and maximizes the ability to control the street lamps remotely and efficiently [2].
{"title":"IOT Based Smart Electric Pole","authors":"Aliya Shaikh, Manasi Thapar, D. Koli, Harshali Rambade","doi":"10.1109/ICECA.2018.8474773","DOIUrl":"https://doi.org/10.1109/ICECA.2018.8474773","url":null,"abstract":"The conventional street lighting maintenance and control system still remains ancient in this era of revolution and technological advancement. The evolution of the Internet of Things (IoT) has been a benevolent cornerstone for such revolutionary giants of the web world. Thus we use this highly coveted technology to cater to the maintenance and control processes of street lighting system. The proposed system enables maintenance and control of the street lights and makes it easier to monitor and control its operation. The system will detect faults in the street lights to intimate the control room to take immediate action. This application will have the following features viz. automatic circuit fault detection, pole inclination detection and light sensing. It aims to design a smart electric pole which is free of any human intervention and provides quick maintenance functionality. In the current scenario, the street lights are switched ON at a pre-decided time every evening and is switched OFF the next morning. It also requires regular check-ups for electric pole defect. This project gives a solution for fast repairing and maximizes the ability to control the street lamps remotely and efficiently [2].","PeriodicalId":272623,"journal":{"name":"2018 Second International Conference on Electronics, Communication and Aerospace Technology (ICECA)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124136037","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 : 2018-03-29DOI: 10.1109/ICECA.2018.8474724
Joyjit Chatterjee, Ayush Saxena, Anu Mehra, Garima Vyas, Vajja Mukesh
The paper essentially deals with the verification and debugging of the LC-3 Microcontroller, a 16 bit RISC Processor, using System Verilog. The LC-3 Design Under Test (DUT) used consists of a variety of different bugs in its sub-design units including the Fetch, Decode, Execute and Controller as well as bugs in its entirety. The bugs are identified with the help of various complex SV features like OOPS, Randomization, Functional Coverage, Assertions and UVM. The Mentor Graphics Questa Simulation Environment is used in conjunction with the System Verilog Hardware Verification Language for testing and identifying the root cause behind bugs in the design. The LC-3 microcontroller used for verification is assumed to work fine as long as it follows the design specifications. Otherwise, any misaligned behavior with the design specs is treated as a bug. The paper provides for an efficient method of using System Verilog, a latest trend in the EDA Industry today, as a language of choice for debugging by Verification Engineers in the Embedded Systems Industry.
{"title":"Verification and Debugging of LC-3 Test Bench Environment using System Verilog","authors":"Joyjit Chatterjee, Ayush Saxena, Anu Mehra, Garima Vyas, Vajja Mukesh","doi":"10.1109/ICECA.2018.8474724","DOIUrl":"https://doi.org/10.1109/ICECA.2018.8474724","url":null,"abstract":"The paper essentially deals with the verification and debugging of the LC-3 Microcontroller, a 16 bit RISC Processor, using System Verilog. The LC-3 Design Under Test (DUT) used consists of a variety of different bugs in its sub-design units including the Fetch, Decode, Execute and Controller as well as bugs in its entirety. The bugs are identified with the help of various complex SV features like OOPS, Randomization, Functional Coverage, Assertions and UVM. The Mentor Graphics Questa Simulation Environment is used in conjunction with the System Verilog Hardware Verification Language for testing and identifying the root cause behind bugs in the design. The LC-3 microcontroller used for verification is assumed to work fine as long as it follows the design specifications. Otherwise, any misaligned behavior with the design specs is treated as a bug. The paper provides for an efficient method of using System Verilog, a latest trend in the EDA Industry today, as a language of choice for debugging by Verification Engineers in the Embedded Systems Industry.","PeriodicalId":272623,"journal":{"name":"2018 Second International Conference on Electronics, Communication and Aerospace Technology (ICECA)","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124223803","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 : 2018-03-29DOI: 10.1109/ICECA.2018.8474639
A. Kate, Satish G. Kamble, A. Bodkhe, Mrunal Joshi
This paper present an approach to automate the conversion of Natural Language Query to SQL Query effectively. Structured Query Language is a powerful tool for managing data held in a relational database management system. To retrieve or manage data user have to enter the correct SQL Query. But the users who don't have any knowledge about SQL are unable to retrieve the required data. To overcome this we proposed a model in Natural Language Processing for converting the Natural Language Query to SQL query. This helps novice user to get required content without knowing any complex details about SQL. This system can also deal with complex queries. This system is designed for Training and Placement cell officers who work on student database but don't have any knowledge about SQL. In this system, user can also enter the query using speech. System will convert speech into the text format. This query will get transformed to SQL query. System will execute the query and gives output to the user.
{"title":"Conversion of Natural Language Query to SQL Query","authors":"A. Kate, Satish G. Kamble, A. Bodkhe, Mrunal Joshi","doi":"10.1109/ICECA.2018.8474639","DOIUrl":"https://doi.org/10.1109/ICECA.2018.8474639","url":null,"abstract":"This paper present an approach to automate the conversion of Natural Language Query to SQL Query effectively. Structured Query Language is a powerful tool for managing data held in a relational database management system. To retrieve or manage data user have to enter the correct SQL Query. But the users who don't have any knowledge about SQL are unable to retrieve the required data. To overcome this we proposed a model in Natural Language Processing for converting the Natural Language Query to SQL query. This helps novice user to get required content without knowing any complex details about SQL. This system can also deal with complex queries. This system is designed for Training and Placement cell officers who work on student database but don't have any knowledge about SQL. In this system, user can also enter the query using speech. System will convert speech into the text format. This query will get transformed to SQL query. System will execute the query and gives output to the user.","PeriodicalId":272623,"journal":{"name":"2018 Second International Conference on Electronics, Communication and Aerospace Technology (ICECA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129950618","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 : 2018-03-29DOI: 10.1109/ICECA.2018.8474700
Shashank Singh, Shailendra Singh
Spell checking is one of the most widely used tasks of NLP. It has broad range of uses like information retrieval, proofreading, email client etc. Today in many applications of NLP spell checker is being used. It is a language tool which breaks down the text for spelling errors. It flags when there exists any misspelled/unintended word in the given text. The typographic errors are categorized in ‘non-word errors’ and ‘real-word errors’. There is enough work done in order to tackle the farmer error but it still remains the challenge for the researchers to tackle the later one. This paper focuses on later one and analyses the methods which are being used worldwide to detect and correct such errors. Paper also focuses on the challenges faced by researchers while processing the real-word errors.
{"title":"Review of Real-word Error Detection and Correction Methods in Text Documents","authors":"Shashank Singh, Shailendra Singh","doi":"10.1109/ICECA.2018.8474700","DOIUrl":"https://doi.org/10.1109/ICECA.2018.8474700","url":null,"abstract":"Spell checking is one of the most widely used tasks of NLP. It has broad range of uses like information retrieval, proofreading, email client etc. Today in many applications of NLP spell checker is being used. It is a language tool which breaks down the text for spelling errors. It flags when there exists any misspelled/unintended word in the given text. The typographic errors are categorized in ‘non-word errors’ and ‘real-word errors’. There is enough work done in order to tackle the farmer error but it still remains the challenge for the researchers to tackle the later one. This paper focuses on later one and analyses the methods which are being used worldwide to detect and correct such errors. Paper also focuses on the challenges faced by researchers while processing the real-word errors.","PeriodicalId":272623,"journal":{"name":"2018 Second International Conference on Electronics, Communication and Aerospace Technology (ICECA)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130520990","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 : 2018-03-29DOI: 10.1109/ICECA.2018.8474604
S. B V, A. Karthikeyan
There are many difficulties and challenging tasks to configure, actualize, develop and work on advanced driver assistance systems (ADAS). The framework is required to accumulate exact information, be quick in processing information, precisely foresee setting, and respond continuously, also it should be vigorous, dependable, and have minimum or very less mistake rates. To address the quicker processing of information and data, execution improvement, architecture and programs to exploit incredible highlights of design and architecture is important. Computer vision is an interdisciplinary field that arrangements with how computers can be made for increasing abnormal state understanding from computerized pictures or recordings. From the viewpoint of designing, it tries to mechanize undertakings that the human visual framework can do. Computer vision assignments fuse procedures for securing, planning, analyzing and understanding propelled pictures, and extraction of high-dimensional data from this present reality to make numerical or agent information. Computer Vision is combined with different advances, for example, radio detection and ranging (Radar) and light detection and ranging (Lidar), is one of the key advances utilized as a part of advanced driver assistance systems. Main aim is to discuss about various implementation details of computer vision based ADAS algorithms. And also discuss about few optimization techniques such as Kalman filter, HOG, Haar, LinSVM, SIFT, usage of different neural networks to achieve high performance rate so driver can respond quickly to real time situations.
{"title":"Computer Vision based Advanced Driver Assistance System Algorithms with Optimization Techniques-A Review","authors":"S. B V, A. Karthikeyan","doi":"10.1109/ICECA.2018.8474604","DOIUrl":"https://doi.org/10.1109/ICECA.2018.8474604","url":null,"abstract":"There are many difficulties and challenging tasks to configure, actualize, develop and work on advanced driver assistance systems (ADAS). The framework is required to accumulate exact information, be quick in processing information, precisely foresee setting, and respond continuously, also it should be vigorous, dependable, and have minimum or very less mistake rates. To address the quicker processing of information and data, execution improvement, architecture and programs to exploit incredible highlights of design and architecture is important. Computer vision is an interdisciplinary field that arrangements with how computers can be made for increasing abnormal state understanding from computerized pictures or recordings. From the viewpoint of designing, it tries to mechanize undertakings that the human visual framework can do. Computer vision assignments fuse procedures for securing, planning, analyzing and understanding propelled pictures, and extraction of high-dimensional data from this present reality to make numerical or agent information. Computer Vision is combined with different advances, for example, radio detection and ranging (Radar) and light detection and ranging (Lidar), is one of the key advances utilized as a part of advanced driver assistance systems. Main aim is to discuss about various implementation details of computer vision based ADAS algorithms. And also discuss about few optimization techniques such as Kalman filter, HOG, Haar, LinSVM, SIFT, usage of different neural networks to achieve high performance rate so driver can respond quickly to real time situations.","PeriodicalId":272623,"journal":{"name":"2018 Second International Conference on Electronics, Communication and Aerospace Technology (ICECA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124984971","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 : 2018-03-29DOI: 10.1109/ICECA.2018.8474548
Namratha N. Pai, S. Kini
Light emitting Diode technology (LED) has advanced rapidly which lead to development of brighter and long lasting sources. Due to growing awareness of the need to reduce energy cost, LED lighting is gaining popularity and also used in wide applications. LED's claim to have efficacy of 120 lumens per watt and lifetime of more than 50000 hours. Its compact size, varied colour of lights, higher efficacy and other advantages makes them replace conventional lighting. Applications such as residential and commercial lighting require thousands of lumens, creating a need to drive strings of LED. Irrespective of the driver topology linear regulator, buck, boost or buck-boost, the main aim is to drive the LED with constant current to control the light output. Some of the applications are as simple as ON and OFF, but many applications require dimming the output between 0 and 100 percent, often with fine resolution. The main objective of this work is to design a closed loop driver circuit with buck topology for a given load specification of LED string and include dimming features in it.
{"title":"Design and Prototyping of Dimmable LED Driver for General Lighting Application","authors":"Namratha N. Pai, S. Kini","doi":"10.1109/ICECA.2018.8474548","DOIUrl":"https://doi.org/10.1109/ICECA.2018.8474548","url":null,"abstract":"Light emitting Diode technology (LED) has advanced rapidly which lead to development of brighter and long lasting sources. Due to growing awareness of the need to reduce energy cost, LED lighting is gaining popularity and also used in wide applications. LED's claim to have efficacy of 120 lumens per watt and lifetime of more than 50000 hours. Its compact size, varied colour of lights, higher efficacy and other advantages makes them replace conventional lighting. Applications such as residential and commercial lighting require thousands of lumens, creating a need to drive strings of LED. Irrespective of the driver topology linear regulator, buck, boost or buck-boost, the main aim is to drive the LED with constant current to control the light output. Some of the applications are as simple as ON and OFF, but many applications require dimming the output between 0 and 100 percent, often with fine resolution. The main objective of this work is to design a closed loop driver circuit with buck topology for a given load specification of LED string and include dimming features in it.","PeriodicalId":272623,"journal":{"name":"2018 Second International Conference on Electronics, Communication and Aerospace Technology (ICECA)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130699074","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 : 2018-03-29DOI: 10.1109/ICECA.2018.8474918
K. Shailaja, B. Seetharamulu, M. Jabbar
Machine Learning is modern and highly sophisticated technological applications became a huge trend in the industry. Machine Learning is Omni present and is widely used in various applications. It is playing a vital role in many fields like finance, Medical science and in security. Machine learning is used to discover patterns from medical data sources and provide excellent capabilities to predict diseases. In this paper, we review various machine learning algorithms used for developing efficient decision support for healthcare applications. This paper helps in reducing the research gap for building efficient decision support system for medical applications.
{"title":"Machine Learning in Healthcare: A Review","authors":"K. Shailaja, B. Seetharamulu, M. Jabbar","doi":"10.1109/ICECA.2018.8474918","DOIUrl":"https://doi.org/10.1109/ICECA.2018.8474918","url":null,"abstract":"Machine Learning is modern and highly sophisticated technological applications became a huge trend in the industry. Machine Learning is Omni present and is widely used in various applications. It is playing a vital role in many fields like finance, Medical science and in security. Machine learning is used to discover patterns from medical data sources and provide excellent capabilities to predict diseases. In this paper, we review various machine learning algorithms used for developing efficient decision support for healthcare applications. This paper helps in reducing the research gap for building efficient decision support system for medical applications.","PeriodicalId":272623,"journal":{"name":"2018 Second International Conference on Electronics, Communication and Aerospace Technology (ICECA)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133243817","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 : 2018-03-29DOI: 10.1109/ICECA.2018.8474747
Harmandar Kaur, M. Khosla, R. Sarin
The method of channel estimation adopted in a MIMO-OFDM communication system greatly influences the overall performance of the system. The symbol detection is carried out after reversing the influences of channel on the information. Hence, the technique used for channel estimation is as important as channel prediction. Under fast time varying channel conditions the channel characteristics need to be accurately extracted using both channel estimation and prediction. An effort is made to emphasize the various techniques developed in literature tending to precisely obtain the channel characteristics. The channel estimation methods specifically designed for the demanding channel conditions having fast time varying characters are separately emphasized.
{"title":"Channel Estimation in MIMO-OFDM System: A Review","authors":"Harmandar Kaur, M. Khosla, R. Sarin","doi":"10.1109/ICECA.2018.8474747","DOIUrl":"https://doi.org/10.1109/ICECA.2018.8474747","url":null,"abstract":"The method of channel estimation adopted in a MIMO-OFDM communication system greatly influences the overall performance of the system. The symbol detection is carried out after reversing the influences of channel on the information. Hence, the technique used for channel estimation is as important as channel prediction. Under fast time varying channel conditions the channel characteristics need to be accurately extracted using both channel estimation and prediction. An effort is made to emphasize the various techniques developed in literature tending to precisely obtain the channel characteristics. The channel estimation methods specifically designed for the demanding channel conditions having fast time varying characters are separately emphasized.","PeriodicalId":272623,"journal":{"name":"2018 Second International Conference on Electronics, Communication and Aerospace Technology (ICECA)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133458192","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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