Pub Date : 2018-03-01DOI: 10.1109/WISPNET.2018.8538654
A. Parvathy, Gayathri Narayanan
Digital Signal Processing (DSP) applications make use of adaptive algorithms for noise reduction in wireless communication systems. Adaptive filters play an important role to accomplish the idea of adaptive algorithms. This paper discusses different adaptive algorithms including LMS, NLMS and RLS algorithms and comparing the three on the basis of Matlab and Verilog results. The simulation results shows that RLS has faster convergence rate than LMS and NLMS algorithms.
{"title":"Comparative Study of Adaptive Algorithms Using Matlab and Verilog","authors":"A. Parvathy, Gayathri Narayanan","doi":"10.1109/WISPNET.2018.8538654","DOIUrl":"https://doi.org/10.1109/WISPNET.2018.8538654","url":null,"abstract":"Digital Signal Processing (DSP) applications make use of adaptive algorithms for noise reduction in wireless communication systems. Adaptive filters play an important role to accomplish the idea of adaptive algorithms. This paper discusses different adaptive algorithms including LMS, NLMS and RLS algorithms and comparing the three on the basis of Matlab and Verilog results. The simulation results shows that RLS has faster convergence rate than LMS and NLMS algorithms.","PeriodicalId":6858,"journal":{"name":"2018 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET)","volume":"2015 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87777409","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 : 2018-03-01DOI: 10.1109/WISPNET.2018.8538698
S. Indulakshmi, M. Adithya, A. R. Anirudh, A. Jawahar
This paper presents a portable device that monitors the environmental exposures experienced by an asthmatic patient and sends this data to the cloud. A suitable method for detection of asthma triggers has been proposed to help identify the factors that cause asthma in a particular person. Concentrations of various gases like carbon monoxide and smoke has been recorded and with the standard Air Quality Index (AQI) as reference, harmful levels are obtained. The user is alerted via email/message if the recorded concentration levels are deemed to be harmful. The development of this system is characterized by a low cost sensor that ensures accurate and reliable measurement. The device is compact, user friendly and can be powered by a power bank.
{"title":"Design and Development of Prototype Model for Asthma Trigger Detection","authors":"S. Indulakshmi, M. Adithya, A. R. Anirudh, A. Jawahar","doi":"10.1109/WISPNET.2018.8538698","DOIUrl":"https://doi.org/10.1109/WISPNET.2018.8538698","url":null,"abstract":"This paper presents a portable device that monitors the environmental exposures experienced by an asthmatic patient and sends this data to the cloud. A suitable method for detection of asthma triggers has been proposed to help identify the factors that cause asthma in a particular person. Concentrations of various gases like carbon monoxide and smoke has been recorded and with the standard Air Quality Index (AQI) as reference, harmful levels are obtained. The user is alerted via email/message if the recorded concentration levels are deemed to be harmful. The development of this system is characterized by a low cost sensor that ensures accurate and reliable measurement. The device is compact, user friendly and can be powered by a power bank.","PeriodicalId":6858,"journal":{"name":"2018 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET)","volume":"21 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88183876","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 : 2018-03-01DOI: 10.1109/WISPNET.2018.8538585
M. Gulati, S. Siddhartha, Yash Vedi, M. Susila
This paper proposes a new method of optimizing Antenna design using Genetic Algorithm. Use of genetic algorithm accelerates the process of simulation and can also conceptualize designs unattainable by manual approaches. The proposed antenna has a 50 $Omega$ feed line impedance, operates in the frequency range 3.1 GHz to 9 GHz. The radiating surface or the patch is treated as an arrangement of individual cells, 2500 individual cells in total, in a 50 $times$ 50 array which at a given time, may or may not be radiating. Antenna parameters for dimensions of the patch, radiation pattern, S-Parameters were calculated experimentally to produce agreeable results.
{"title":"Genetic-Algorithm Based Planar Antenna Design","authors":"M. Gulati, S. Siddhartha, Yash Vedi, M. Susila","doi":"10.1109/WISPNET.2018.8538585","DOIUrl":"https://doi.org/10.1109/WISPNET.2018.8538585","url":null,"abstract":"This paper proposes a new method of optimizing Antenna design using Genetic Algorithm. Use of genetic algorithm accelerates the process of simulation and can also conceptualize designs unattainable by manual approaches. The proposed antenna has a 50 $Omega$ feed line impedance, operates in the frequency range 3.1 GHz to 9 GHz. The radiating surface or the patch is treated as an arrangement of individual cells, 2500 individual cells in total, in a 50 $times$ 50 array which at a given time, may or may not be radiating. Antenna parameters for dimensions of the patch, radiation pattern, S-Parameters were calculated experimentally to produce agreeable results.","PeriodicalId":6858,"journal":{"name":"2018 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET)","volume":"17 1","pages":"1-2"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87419938","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 : 2018-03-01DOI: 10.1109/WISPNET.2018.8538571
Gourab Adhikari, Rohan Mukherjee, Tanmoy Dasgupta
The present work proposes a novel scheme for binarization of poorly illuminated images, that are often encountered in scanned collections of printed and handwritten texts. The readily available techniques such as adaptive mean thresholding, adaptive gaussian thresholding, Otsu's binarization, etc. usually fail in such situations, mostly because of lack of contrast in the images. There are several examples of poorly scanned documents, which besides exhibiting poor contrast, contain parts of texts that have similar intensity levels to that of some portions of the background. The methodology developed here is designed specifically to tackle situations like this. A novel adaptive region-wise histogram correction technique is developed that is capable of automatically enhancing the contrast of such images for the purpose of further processing. The enhanced images are then binarized using a region-wise thresholding technique that uses statistical methods to calculate the threshold values for different regions. Final result is an automatically generated clean binarized version of a very poorly illuminated text image.
{"title":"A Local Adaptive Region-wise Histogram Correction and Thresholding Technique for Very Poorly Illuminated Images","authors":"Gourab Adhikari, Rohan Mukherjee, Tanmoy Dasgupta","doi":"10.1109/WISPNET.2018.8538571","DOIUrl":"https://doi.org/10.1109/WISPNET.2018.8538571","url":null,"abstract":"The present work proposes a novel scheme for binarization of poorly illuminated images, that are often encountered in scanned collections of printed and handwritten texts. The readily available techniques such as adaptive mean thresholding, adaptive gaussian thresholding, Otsu's binarization, etc. usually fail in such situations, mostly because of lack of contrast in the images. There are several examples of poorly scanned documents, which besides exhibiting poor contrast, contain parts of texts that have similar intensity levels to that of some portions of the background. The methodology developed here is designed specifically to tackle situations like this. A novel adaptive region-wise histogram correction technique is developed that is capable of automatically enhancing the contrast of such images for the purpose of further processing. The enhanced images are then binarized using a region-wise thresholding technique that uses statistical methods to calculate the threshold values for different regions. Final result is an automatically generated clean binarized version of a very poorly illuminated text image.","PeriodicalId":6858,"journal":{"name":"2018 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET)","volume":"6 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76008798","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 : 2018-03-01DOI: 10.1109/WISPNET.2018.8538568
R. Prabha, Emrick Sinitambirivoutin, F. Passelaigue, M. Ramesh
India is an agricultural country and 70% of the people directly or indirectly depends on agriculture for their living. Nowadays, water scarcity is one of the main challenges faced by the farmers. Another major challenge faced by Indian agriculture sector is the increase in rate of farmers suicide because of debt. So, effective measures have to be devised in order to reduce the cost of farming and increase the yield from agriculture. This research work proposes the design of a generic IoT framework for improving agriculture yield by effectively scheduling irrigation and fertilization based on the crops current requirements, environmental conditions and weather forecasts. This work proposes the design of an affordable irrigation and fertilization system. The proposed fertilization system spreads fertilizers to the root directly. This reduces the amount of fertilizers required and thus reduces the cost and improves the soil health. A user friendly mobile application has been designed to deliver this information to the farmers in their regional language. The generic framework has been validated using a case study for chilli farming.
{"title":"Design and Development of an IoT Based Smart Irrigation and Fertilization System for Chilli Farming","authors":"R. Prabha, Emrick Sinitambirivoutin, F. Passelaigue, M. Ramesh","doi":"10.1109/WISPNET.2018.8538568","DOIUrl":"https://doi.org/10.1109/WISPNET.2018.8538568","url":null,"abstract":"India is an agricultural country and 70% of the people directly or indirectly depends on agriculture for their living. Nowadays, water scarcity is one of the main challenges faced by the farmers. Another major challenge faced by Indian agriculture sector is the increase in rate of farmers suicide because of debt. So, effective measures have to be devised in order to reduce the cost of farming and increase the yield from agriculture. This research work proposes the design of a generic IoT framework for improving agriculture yield by effectively scheduling irrigation and fertilization based on the crops current requirements, environmental conditions and weather forecasts. This work proposes the design of an affordable irrigation and fertilization system. The proposed fertilization system spreads fertilizers to the root directly. This reduces the amount of fertilizers required and thus reduces the cost and improves the soil health. A user friendly mobile application has been designed to deliver this information to the farmers in their regional language. The generic framework has been validated using a case study for chilli farming.","PeriodicalId":6858,"journal":{"name":"2018 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET)","volume":"50 1","pages":"1-7"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79958634","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 : 2018-03-01DOI: 10.1109/WISPNET.2018.8538731
Pushpendu Kar, B. Dappuri
Nowadays, Wireless Local Area Networks (WLANs) become a popular solution for networking among computers and other devices within a limited area such as a home, school, computer laboratory, or office building. A WLAN is a wireless network of devices, where two or more devices are connected via wireless links. In this network, users with their devices can able to move around within a coverage area, while they are connected with the network. This WLAN is commonly called as Wifi. Proper deployment of Access Points, Switches, Cables and Connectors and tune between them is the main requirement for efficient and faster communication between computers and devices. To get optimized performance from a WLAN, it is essential to do Site Survey and Radio Frequency (RF) planning before the deployment. In this paper, we present and analyze different techniques of site survey and RF planning. We also suggest a methodology for these, which is needs to be adopted by expert engineers while deploying a WLAN.
{"title":"Site Survey and Radio Frequency Planning for the Deployment of Next Generation WLAN","authors":"Pushpendu Kar, B. Dappuri","doi":"10.1109/WISPNET.2018.8538731","DOIUrl":"https://doi.org/10.1109/WISPNET.2018.8538731","url":null,"abstract":"Nowadays, Wireless Local Area Networks (WLANs) become a popular solution for networking among computers and other devices within a limited area such as a home, school, computer laboratory, or office building. A WLAN is a wireless network of devices, where two or more devices are connected via wireless links. In this network, users with their devices can able to move around within a coverage area, while they are connected with the network. This WLAN is commonly called as Wifi. Proper deployment of Access Points, Switches, Cables and Connectors and tune between them is the main requirement for efficient and faster communication between computers and devices. To get optimized performance from a WLAN, it is essential to do Site Survey and Radio Frequency (RF) planning before the deployment. In this paper, we present and analyze different techniques of site survey and RF planning. We also suggest a methodology for these, which is needs to be adopted by expert engineers while deploying a WLAN.","PeriodicalId":6858,"journal":{"name":"2018 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET)","volume":"66 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77268633","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 : 2018-03-01DOI: 10.1109/WISPNET.2018.8538686
Anurag Gaurav, A. Pandey
Machine type communication is the promising technology for future generation of communication system. This communication model facilitates pervasive communications along with full mechanical automation. These characteristics of M2M communication affects all the layers in the network stack and make network support for (M2M) communications, which is a challenging field of research at different levels. This can be considered as the part of Internet of Things (IoT). To understand Hybrid MAC protocol for machine-to-machine (M2M) communication thoroughly, this paper represents the comprehensive review in terms of its system model, its architecture. Further, we have explore distinct MAC protocols and specific medium access control (MAC) protocols for M2M communication. Finally we discussed the different performances parameters of Hybrid medium access control (MAC) protocol for M2M communication along with the open field of research.
{"title":"A Survey: Hybrid Medium Access Control Protocol for M2M Communication","authors":"Anurag Gaurav, A. Pandey","doi":"10.1109/WISPNET.2018.8538686","DOIUrl":"https://doi.org/10.1109/WISPNET.2018.8538686","url":null,"abstract":"Machine type communication is the promising technology for future generation of communication system. This communication model facilitates pervasive communications along with full mechanical automation. These characteristics of M2M communication affects all the layers in the network stack and make network support for (M2M) communications, which is a challenging field of research at different levels. This can be considered as the part of Internet of Things (IoT). To understand Hybrid MAC protocol for machine-to-machine (M2M) communication thoroughly, this paper represents the comprehensive review in terms of its system model, its architecture. Further, we have explore distinct MAC protocols and specific medium access control (MAC) protocols for M2M communication. Finally we discussed the different performances parameters of Hybrid medium access control (MAC) protocol for M2M communication along with the open field of research.","PeriodicalId":6858,"journal":{"name":"2018 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET)","volume":"68 1-2","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91471725","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 : 2018-03-01DOI: 10.1109/WISPNET.2018.8538649
Ninu Rachel Philip, B. Malarkodi, E. Gopi
The high data rates and spectral efficiency provided by the 4G Long Term Evolution (LTE) networks utilize much power in the User Equipment (UE). The Discontinuous Reception (DRX) mechanism is an efficient power saving protocol used in the LTE/LTE-Advanced networks to save battery power of the UE. In DRX, the UE is temporarily powered down to save power while remaining connected to the network. During this power saving period, the UE checks for packet availability only for a short span of time and hence it receives data packets in a discontinuous manner. The power saved at the UE is at the expense of increased delay for packet reception. In this paper, a simulation analysis of 3-state semi-Markov DRX model with the European Telecommunications Standards Institute (ETSI) bursty data traffic model has been carried out using MATLAB. With the already developed mathematical model, this packet based simulation study explains the operation of a typical DRX mechanism. The simulation results obtained are analogous to the analytical results in the literature and are useful to analyse various higher order DRX models.
{"title":"Simulation Analysis of Discontinuous Reception Mechanism with ETSI Traffic Model in LTE Networks","authors":"Ninu Rachel Philip, B. Malarkodi, E. Gopi","doi":"10.1109/WISPNET.2018.8538649","DOIUrl":"https://doi.org/10.1109/WISPNET.2018.8538649","url":null,"abstract":"The high data rates and spectral efficiency provided by the 4G Long Term Evolution (LTE) networks utilize much power in the User Equipment (UE). The Discontinuous Reception (DRX) mechanism is an efficient power saving protocol used in the LTE/LTE-Advanced networks to save battery power of the UE. In DRX, the UE is temporarily powered down to save power while remaining connected to the network. During this power saving period, the UE checks for packet availability only for a short span of time and hence it receives data packets in a discontinuous manner. The power saved at the UE is at the expense of increased delay for packet reception. In this paper, a simulation analysis of 3-state semi-Markov DRX model with the European Telecommunications Standards Institute (ETSI) bursty data traffic model has been carried out using MATLAB. With the already developed mathematical model, this packet based simulation study explains the operation of a typical DRX mechanism. The simulation results obtained are analogous to the analytical results in the literature and are useful to analyse various higher order DRX models.","PeriodicalId":6858,"journal":{"name":"2018 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET)","volume":"1 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87208644","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 : 2018-03-01DOI: 10.1109/WISPNET.2018.8538628
Soumyakanti Roy, Tanmoy Dasgupta, Tapan Pradhan
An image in general consists of a combination of significant objects in the foreground and not-so-significant objects in the background. Content aware image resizing or seam carving is a process of resizing an image while maintaining the significant objects (the foreground) in proper visual saliency. The standard algorithms, however, often generate unpredictable distortions in images with densely situated foreground objects. The optimized content aware image resizing (OCAIR) algorithm presented herein, uses iterative graph cuts and edge detection to generate an energy map based on the important sections of the image, so that the resized image does not exhibit unpredictable artefacts. An improved energy map generation algorithm is designed here, which not only marks out the important foreground elements quicker than previously available techniques, but also uses that information to quantity the amount of distortion (if any) that might take place after adding or deleting seams by means of calculating a distortion factor. The process being considerably faster than previous algorithms, allows precise modifications to the input parameters to obtain a well-doctored final image.
{"title":"An Improved and Optimized Content-Aware Resizing Algorithm for Images with Densely Situated Foreground Objects","authors":"Soumyakanti Roy, Tanmoy Dasgupta, Tapan Pradhan","doi":"10.1109/WISPNET.2018.8538628","DOIUrl":"https://doi.org/10.1109/WISPNET.2018.8538628","url":null,"abstract":"An image in general consists of a combination of significant objects in the foreground and not-so-significant objects in the background. Content aware image resizing or seam carving is a process of resizing an image while maintaining the significant objects (the foreground) in proper visual saliency. The standard algorithms, however, often generate unpredictable distortions in images with densely situated foreground objects. The optimized content aware image resizing (OCAIR) algorithm presented herein, uses iterative graph cuts and edge detection to generate an energy map based on the important sections of the image, so that the resized image does not exhibit unpredictable artefacts. An improved energy map generation algorithm is designed here, which not only marks out the important foreground elements quicker than previously available techniques, but also uses that information to quantity the amount of distortion (if any) that might take place after adding or deleting seams by means of calculating a distortion factor. The process being considerably faster than previous algorithms, allows precise modifications to the input parameters to obtain a well-doctored final image.","PeriodicalId":6858,"journal":{"name":"2018 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET)","volume":"88 5 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85615785","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 : 2018-03-01DOI: 10.1109/WISPNET.2018.8538440
Beena A. O, S. Pillai, N. Vijayakumar
Accurate estimation of channel state information in a time varying environment is a challenging problem in next generation high speed wireless communications. Adaptive Channel Estimation (ACE) techniques are used to estimate the channel coefficients of a time varying wireless channel. Normalized Least Mean Square (NLMS) algorithms are utilized to construct simple and stable ACE methods but the intrinsic sparsity of broadband MIMO wireless channel cannot be efficiently utilized by such methods. A Variable Step Size Sign Data Sign Error NLMS (VSS-SDSENLMS) algorithm is proposed in this paper as a method for adaptive sparse channel estimation in broadband MIMO-OFDM systems. $l_{0}$-norm sparse penalty was employed to the cost function of VSS-SDSENLMS algorithm to exploit the sparse information of time varying broadband wireless channel. Simulation results confirmed that the proposed algorithm improved the performance in terms of bit error rate with comparable computational complexity and better MSE performance at a faster convergence rate.
{"title":"An Improved Adaptive Sparse Channel Estimation Method for Next Generation Wireless Broadband","authors":"Beena A. O, S. Pillai, N. Vijayakumar","doi":"10.1109/WISPNET.2018.8538440","DOIUrl":"https://doi.org/10.1109/WISPNET.2018.8538440","url":null,"abstract":"Accurate estimation of channel state information in a time varying environment is a challenging problem in next generation high speed wireless communications. Adaptive Channel Estimation (ACE) techniques are used to estimate the channel coefficients of a time varying wireless channel. Normalized Least Mean Square (NLMS) algorithms are utilized to construct simple and stable ACE methods but the intrinsic sparsity of broadband MIMO wireless channel cannot be efficiently utilized by such methods. A Variable Step Size Sign Data Sign Error NLMS (VSS-SDSENLMS) algorithm is proposed in this paper as a method for adaptive sparse channel estimation in broadband MIMO-OFDM systems. $l_{0}$-norm sparse penalty was employed to the cost function of VSS-SDSENLMS algorithm to exploit the sparse information of time varying broadband wireless channel. Simulation results confirmed that the proposed algorithm improved the performance in terms of bit error rate with comparable computational complexity and better MSE performance at a faster convergence rate.","PeriodicalId":6858,"journal":{"name":"2018 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET)","volume":"14 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85977190","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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