Pub Date : 2014-04-03DOI: 10.1109/ICCSP.2014.6950138
Ananya Ravi, P. Nagaradjane, Nagarajan Velmurugan
In this contribution, we investigate the performance of a cooperative communication aided downlink (DL) multi-carrier code division multiple access (MC-CDMA) system with the aid of transmitter preprocessing (TP) realized based on vector quantized (VQ) channel state information (CSI) acquired via feedback channels. In our work, we assume that each of the K destination mobile stations (DMS) is supported by a group of mobile stations (MSs) acting as relays to achieve the relay diversity. Specifically, we employ preprocessing at the base station (BS) to suppress the multi-user interference (MUI) at the relays that precludes in achieving the relay diversity. Further, inter-relay interference (IRI) at the destination mobile stations (DMSs) is mitigated with the support of the preprocessing operated at the relays. To be specific, the preprocessing operated at the BS is based on the maximum-signal-to-interference-plus-noise ratio (MSINR) approach, while that operated at the relays is based on the classical minimum-mean-square error principle. Both the preprocessing approaches are formulated based on the VQ-CSI acquired via feedback channels. Our study demonstrates that TP-aided cooperative DL MC-CDMA system results in better achievable bit-error-rate (BER) as the TP assists in achieving the relay diversity by eliminating the DL-MUI and IRI at the relays and the DMSs, respectively. Furthermore, our study reveals that the attainable BER of the VQ-CSI based TP remains close to that attained with the perfect CSI based TP.
{"title":"Performance of cooperative communication aided MC-CDMA system using transmitter preprocessing based on vector quantized CSI","authors":"Ananya Ravi, P. Nagaradjane, Nagarajan Velmurugan","doi":"10.1109/ICCSP.2014.6950138","DOIUrl":"https://doi.org/10.1109/ICCSP.2014.6950138","url":null,"abstract":"In this contribution, we investigate the performance of a cooperative communication aided downlink (DL) multi-carrier code division multiple access (MC-CDMA) system with the aid of transmitter preprocessing (TP) realized based on vector quantized (VQ) channel state information (CSI) acquired via feedback channels. In our work, we assume that each of the K destination mobile stations (DMS) is supported by a group of mobile stations (MSs) acting as relays to achieve the relay diversity. Specifically, we employ preprocessing at the base station (BS) to suppress the multi-user interference (MUI) at the relays that precludes in achieving the relay diversity. Further, inter-relay interference (IRI) at the destination mobile stations (DMSs) is mitigated with the support of the preprocessing operated at the relays. To be specific, the preprocessing operated at the BS is based on the maximum-signal-to-interference-plus-noise ratio (MSINR) approach, while that operated at the relays is based on the classical minimum-mean-square error principle. Both the preprocessing approaches are formulated based on the VQ-CSI acquired via feedback channels. Our study demonstrates that TP-aided cooperative DL MC-CDMA system results in better achievable bit-error-rate (BER) as the TP assists in achieving the relay diversity by eliminating the DL-MUI and IRI at the relays and the DMSs, respectively. Furthermore, our study reveals that the attainable BER of the VQ-CSI based TP remains close to that attained with the perfect CSI based TP.","PeriodicalId":149965,"journal":{"name":"2014 International Conference on Communication and Signal Processing","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125284274","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 : 2014-04-03DOI: 10.1109/ICCSP.2014.6949829
K. S. Vishvaksenan, S. Sathiarani, S. Ramyaramalakshmi
In this article, we consider the colour image transmission using integer wavelet transform(IWT) coding with the aid of for Multi-input Multi-output (MIMO) - Code Division Multiple Access(CDMA) system over correlated Rayleigh fading channel. IWT is computationally faster and more memory-efficient and hence in our consider work, we implement lossy compression technique based on IWT to achieve sufficient coding efficiency. Further, MIMO system based on Vertical Bell Laboratories Layered Space-Time architecture(VBLAST) is realized both at the transmitter and receiver ends to increase data rate. Furthermore, we consider turbo coded system to achieve better picture quality with less signal-to-noise ratio (SNR) and minimum mean square error (MMSE)-MUD detector at the receiver to suppress noise and Multi-user interferences (MUI). Our simulation study reveals that our considered IWT transform coding technique with MMSE detector achieves better colour picture quality with compression ratio of 4:1 at low level of SNR.
{"title":"IWT based image transmission in MIMO-CDMA system: Performance results","authors":"K. S. Vishvaksenan, S. Sathiarani, S. Ramyaramalakshmi","doi":"10.1109/ICCSP.2014.6949829","DOIUrl":"https://doi.org/10.1109/ICCSP.2014.6949829","url":null,"abstract":"In this article, we consider the colour image transmission using integer wavelet transform(IWT) coding with the aid of for Multi-input Multi-output (MIMO) - Code Division Multiple Access(CDMA) system over correlated Rayleigh fading channel. IWT is computationally faster and more memory-efficient and hence in our consider work, we implement lossy compression technique based on IWT to achieve sufficient coding efficiency. Further, MIMO system based on Vertical Bell Laboratories Layered Space-Time architecture(VBLAST) is realized both at the transmitter and receiver ends to increase data rate. Furthermore, we consider turbo coded system to achieve better picture quality with less signal-to-noise ratio (SNR) and minimum mean square error (MMSE)-MUD detector at the receiver to suppress noise and Multi-user interferences (MUI). Our simulation study reveals that our considered IWT transform coding technique with MMSE detector achieves better colour picture quality with compression ratio of 4:1 at low level of SNR.","PeriodicalId":149965,"journal":{"name":"2014 International Conference on Communication and Signal Processing","volume":"394 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134541827","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 : 2014-04-03DOI: 10.1109/ICCSP.2014.6950187
L. L. M. Paul Shoba, V. Mohan, Y. Venkataramani
In this paper, Karhunen Loeve transform is applied to the Landsat image for removing the spectral correlation, and then wavelet transform is applied for removing spatial correlation followed by which coding is done. Biorthogonal wavelets are applied in one method and lifting scheme using Haar wavelet is applied in another method. SPIHT and EZW are applied for coding in each of the two methods and the results are compared. The correlation coefficient is calculated to verify spectral decorrelation and the compression is measured in terms of bit rate, compression ratio and peak signal to noise ratio is calculated. The experiment was tested with the Landsat images and found that the correlation coefficient has been reduced and hence KLT is effective for spectral decorrelation. In terms of compression ratio, the compression approach using KLT, Lifting scheme, EZW provides better results than other compression approaches. In terms of bit rate, the compression approach using KLT, Biorthogonal wavelet, SPIHT provides better results than other compression approaches.
{"title":"Landsat image compression using lifting scheme","authors":"L. L. M. Paul Shoba, V. Mohan, Y. Venkataramani","doi":"10.1109/ICCSP.2014.6950187","DOIUrl":"https://doi.org/10.1109/ICCSP.2014.6950187","url":null,"abstract":"In this paper, Karhunen Loeve transform is applied to the Landsat image for removing the spectral correlation, and then wavelet transform is applied for removing spatial correlation followed by which coding is done. Biorthogonal wavelets are applied in one method and lifting scheme using Haar wavelet is applied in another method. SPIHT and EZW are applied for coding in each of the two methods and the results are compared. The correlation coefficient is calculated to verify spectral decorrelation and the compression is measured in terms of bit rate, compression ratio and peak signal to noise ratio is calculated. The experiment was tested with the Landsat images and found that the correlation coefficient has been reduced and hence KLT is effective for spectral decorrelation. In terms of compression ratio, the compression approach using KLT, Lifting scheme, EZW provides better results than other compression approaches. In terms of bit rate, the compression approach using KLT, Biorthogonal wavelet, SPIHT provides better results than other compression approaches.","PeriodicalId":149965,"journal":{"name":"2014 International Conference on Communication and Signal Processing","volume":"374 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131720784","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 : 2014-04-03DOI: 10.1109/ICCSP.2014.6949937
Vinoth Kumar, Natarajan V, Santhosh Muraledharan
Reversible Data Hiding (RDH) is the technique of embedding secret messages into a cover image by modifying its pixel values. In RDH technique, both the embedded message and the cover image are recovered. The Difference Expansion is the high quality reversible method for data embedding. The existing Lee method and Pixel Pair Mapping (PPM) method of difference expansion produced redundant space for data embedding by grouping two columns of pixel values. The modified PPM method combines the techniques of existing Lee method and PPM method and groups any number of columns in the forward direction and groups two columns in the reverse direction similar to PPM method. Difference Pair Mapping (DPM) method along both forward and backward direction is implemented to improve the embedding performance by exploiting the statistical properties of an image using prediction based method with arbitrary threshold. The prediction values of pixel-pairs are responsible for providing security to the message being embedded. The simulation results are produced for the modified PPM method and DPM method along both the direction to show the improvement in the embedding capacity.
{"title":"Difference expansion based Reversible Data Hiding for medical images","authors":"Vinoth Kumar, Natarajan V, Santhosh Muraledharan","doi":"10.1109/ICCSP.2014.6949937","DOIUrl":"https://doi.org/10.1109/ICCSP.2014.6949937","url":null,"abstract":"Reversible Data Hiding (RDH) is the technique of embedding secret messages into a cover image by modifying its pixel values. In RDH technique, both the embedded message and the cover image are recovered. The Difference Expansion is the high quality reversible method for data embedding. The existing Lee method and Pixel Pair Mapping (PPM) method of difference expansion produced redundant space for data embedding by grouping two columns of pixel values. The modified PPM method combines the techniques of existing Lee method and PPM method and groups any number of columns in the forward direction and groups two columns in the reverse direction similar to PPM method. Difference Pair Mapping (DPM) method along both forward and backward direction is implemented to improve the embedding performance by exploiting the statistical properties of an image using prediction based method with arbitrary threshold. The prediction values of pixel-pairs are responsible for providing security to the message being embedded. The simulation results are produced for the modified PPM method and DPM method along both the direction to show the improvement in the embedding capacity.","PeriodicalId":149965,"journal":{"name":"2014 International Conference on Communication and Signal Processing","volume":"34 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132404843","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 : 2014-04-03DOI: 10.1109/ICCSP.2014.6949797
J. John, R. Pushpalakshmi
The mobile ad hoc networks is an attractive field to the researchers for its ease in deployment and maintenance. In this work, we focus on the optimization of energy consumption and stability of the node which has become a critical issue in ad hoc networks. Clustering of nodes is one of the significant means to extend lifetime of the network. This paper proposes Ant Colony Optimization (ACO) approach for the optimal selection of cluster heads. This algorithm optimizes communication workload, node lifetime, and mobility. The cluster structure is optimized by the defined probability function for clusters. The probability function is calculated by using the parameters such as residual energy, energy drain rate and mobility factor. Node that has the maximum value for the probability function will select as a cluster head. The overall communication workload is calculated periodically. If its value is high, then cluster head is reassigned. The advantage of this algorithm is that it can better balance the energy consumption of the nodes and increase the stability of the node. Experiment results show that our proposed work results in more energy efficient and stabilized clusters.
{"title":"A reliable optimized clustering in MANET using Ant Colony algorithm","authors":"J. John, R. Pushpalakshmi","doi":"10.1109/ICCSP.2014.6949797","DOIUrl":"https://doi.org/10.1109/ICCSP.2014.6949797","url":null,"abstract":"The mobile ad hoc networks is an attractive field to the researchers for its ease in deployment and maintenance. In this work, we focus on the optimization of energy consumption and stability of the node which has become a critical issue in ad hoc networks. Clustering of nodes is one of the significant means to extend lifetime of the network. This paper proposes Ant Colony Optimization (ACO) approach for the optimal selection of cluster heads. This algorithm optimizes communication workload, node lifetime, and mobility. The cluster structure is optimized by the defined probability function for clusters. The probability function is calculated by using the parameters such as residual energy, energy drain rate and mobility factor. Node that has the maximum value for the probability function will select as a cluster head. The overall communication workload is calculated periodically. If its value is high, then cluster head is reassigned. The advantage of this algorithm is that it can better balance the energy consumption of the nodes and increase the stability of the node. Experiment results show that our proposed work results in more energy efficient and stabilized clusters.","PeriodicalId":149965,"journal":{"name":"2014 International Conference on Communication and Signal Processing","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131346423","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 : 2014-04-03DOI: 10.1109/ICCSP.2014.6949794
Hussain Ahmed Choudhury, M. Saikia
In video both temporal redundancies as well as spatial redundancy occurs. So to remove the both type of redundancies we need combination of systems that can remove both type of redundancies and hence we use Hybrid Video Codec for video compression. In encoder part of Hybrid Codec, we find the motion vector (MV) of the candidate block of current frame in reference frame using block based motion estimation technique. Motion estimation (ME) is to be done in the encoder side to find the best MV so that it can be applied on stored frames by motion compensated block to generate the predicted video in video compression. In this paper we have reviewed in brief already implemented various block based motion estimation techniques namely full search (FS), New Three Step Search (NTSS), three step search(TSS), diamond search algorithm (DSA), cross search(CS), hexagonal search pattern(HXSP), Adaptive Rood Pattern Search(ARPS) etc. We also try to review their performance based on the number of searching points and PSNR.
{"title":"Survey on block matching algorithms for motion estimation","authors":"Hussain Ahmed Choudhury, M. Saikia","doi":"10.1109/ICCSP.2014.6949794","DOIUrl":"https://doi.org/10.1109/ICCSP.2014.6949794","url":null,"abstract":"In video both temporal redundancies as well as spatial redundancy occurs. So to remove the both type of redundancies we need combination of systems that can remove both type of redundancies and hence we use Hybrid Video Codec for video compression. In encoder part of Hybrid Codec, we find the motion vector (MV) of the candidate block of current frame in reference frame using block based motion estimation technique. Motion estimation (ME) is to be done in the encoder side to find the best MV so that it can be applied on stored frames by motion compensated block to generate the predicted video in video compression. In this paper we have reviewed in brief already implemented various block based motion estimation techniques namely full search (FS), New Three Step Search (NTSS), three step search(TSS), diamond search algorithm (DSA), cross search(CS), hexagonal search pattern(HXSP), Adaptive Rood Pattern Search(ARPS) etc. We also try to review their performance based on the number of searching points and PSNR.","PeriodicalId":149965,"journal":{"name":"2014 International Conference on Communication and Signal Processing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129082665","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 : 2014-04-03DOI: 10.1109/ICCSP.2014.6949942
A. Konwar, B. Sagarika Borah, C. T. Tuithung
The work presented in this paper is aimed to design an automatic vision based American Sign Language detection system and translation to text. To detect the human skin color from the image, HSV color model is used. Then edge detection is applied to detect the hand shape from the image. A set of morphological operation is applied to get a refined output for the sign language recognition.
{"title":"An American Sign Language detection system using HSV color model and edge detection","authors":"A. Konwar, B. Sagarika Borah, C. T. Tuithung","doi":"10.1109/ICCSP.2014.6949942","DOIUrl":"https://doi.org/10.1109/ICCSP.2014.6949942","url":null,"abstract":"The work presented in this paper is aimed to design an automatic vision based American Sign Language detection system and translation to text. To detect the human skin color from the image, HSV color model is used. Then edge detection is applied to detect the hand shape from the image. A set of morphological operation is applied to get a refined output for the sign language recognition.","PeriodicalId":149965,"journal":{"name":"2014 International Conference on Communication and Signal Processing","volume":"100 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134157712","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 : 2014-04-03DOI: 10.1109/ICCSP.2014.6949975
J. Priyanka, S. Tephillah, A. Balamurugan
Wireless sensor networks consists of a large number of Tiny low power sensor nodes, each with sensing, computation and wireless communication capabilities. Sensor nodes are deployed in unattended environments, they are vulnerable to a wide variety of attacks. Malicious nodes can generate incorrect readings and misleading reports. In this paper, we present a malicious node detection scheme for wireless sensor networks. The malicious nodes are detected by computing the average number of event cycles. In addition, each sensor node maintains the trust values of its neighbouring nodes to reflect their behaviour in decision-making. Computer simulation shows that the proposed scheme achieves high malicious node detection accuracy with lesser number of event cycles to detect the malicious node.
{"title":"Malicious node detection using minimal event cycle computation method in wireless sensor networks","authors":"J. Priyanka, S. Tephillah, A. Balamurugan","doi":"10.1109/ICCSP.2014.6949975","DOIUrl":"https://doi.org/10.1109/ICCSP.2014.6949975","url":null,"abstract":"Wireless sensor networks consists of a large number of Tiny low power sensor nodes, each with sensing, computation and wireless communication capabilities. Sensor nodes are deployed in unattended environments, they are vulnerable to a wide variety of attacks. Malicious nodes can generate incorrect readings and misleading reports. In this paper, we present a malicious node detection scheme for wireless sensor networks. The malicious nodes are detected by computing the average number of event cycles. In addition, each sensor node maintains the trust values of its neighbouring nodes to reflect their behaviour in decision-making. Computer simulation shows that the proposed scheme achieves high malicious node detection accuracy with lesser number of event cycles to detect the malicious node.","PeriodicalId":149965,"journal":{"name":"2014 International Conference on Communication and Signal Processing","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132817921","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 : 2014-04-03DOI: 10.1109/ICCSP.2014.6950067
A. Dey, S. Chakraborty, S. Palit, D. K. Bhattacharya, D. N. Tibarewala, Mrityunjoy Roy
The 2D Poincare' plot of HRV signal reflects the effect of different external stimuli on ANS. The classification is generally done by fitting an `ellipse' on the dense region of the constructed Poincare' plot of HRV signal. However 2D Poincare' plot sometimes fails to describe the proper behavior of the system. One such example is 2D Poincare' plot of HRV signal in pre-music and on-music condition. In fact 2D Poincare' plots in pre and on-music condition look almost similar for few subjects. So a proper classification tool is sought for. In this article, multi-fractal DFA analysis has been applied to properly distinguish the pre-music and on-music state of some normal healthy subjects. The whole experiment is carried out at School of Bio-Science and Engineering, Jadavpur University, Kolkata, India.
{"title":"Study the effect of music on HRV impulse using multifractal DFA analysis","authors":"A. Dey, S. Chakraborty, S. Palit, D. K. Bhattacharya, D. N. Tibarewala, Mrityunjoy Roy","doi":"10.1109/ICCSP.2014.6950067","DOIUrl":"https://doi.org/10.1109/ICCSP.2014.6950067","url":null,"abstract":"The 2D Poincare' plot of HRV signal reflects the effect of different external stimuli on ANS. The classification is generally done by fitting an `ellipse' on the dense region of the constructed Poincare' plot of HRV signal. However 2D Poincare' plot sometimes fails to describe the proper behavior of the system. One such example is 2D Poincare' plot of HRV signal in pre-music and on-music condition. In fact 2D Poincare' plots in pre and on-music condition look almost similar for few subjects. So a proper classification tool is sought for. In this article, multi-fractal DFA analysis has been applied to properly distinguish the pre-music and on-music state of some normal healthy subjects. The whole experiment is carried out at School of Bio-Science and Engineering, Jadavpur University, Kolkata, India.","PeriodicalId":149965,"journal":{"name":"2014 International Conference on Communication and Signal Processing","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133183689","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 : 2014-04-03DOI: 10.1109/ICCSP.2014.6949861
K. Srinandhini, V. Vaithianathan
Orthogonal Frequency Division Multiplexing (OFDM) which is a FDM modulation is a promising methodology for high data rate applications like video streaming. This methodology works effectively for multipath frequency selective channels. Multiple Input and Multiple Output (MIMO) is a wireless technology that uses multiple antennas at the transceiver ends. It increases link throughput and network capacity. The combination of both MIMO and OFDM provides a system that is robust against the frequency-selective fading caused by sever multi-path scattering and narrowband interference. This ongoing evaluation has accelerated the development of System-on-chip (SoC) platform to support the physical layer of these technologies. In this paper, Field Programmable Gate Array (FPGA) implementation of channel coder, its decoder, interleaver and deinterleaver of MIMO-OFDM are discussed. Convolutional encoder of code rate 1/2 is used because of its less complexity and Viterbi decoder is used for decoding. Interleaver and Deinterleaver is used to remove the burst error thus improving the performance.
{"title":"FPGA implementation of MIMO-OFDM transceiver","authors":"K. Srinandhini, V. Vaithianathan","doi":"10.1109/ICCSP.2014.6949861","DOIUrl":"https://doi.org/10.1109/ICCSP.2014.6949861","url":null,"abstract":"Orthogonal Frequency Division Multiplexing (OFDM) which is a FDM modulation is a promising methodology for high data rate applications like video streaming. This methodology works effectively for multipath frequency selective channels. Multiple Input and Multiple Output (MIMO) is a wireless technology that uses multiple antennas at the transceiver ends. It increases link throughput and network capacity. The combination of both MIMO and OFDM provides a system that is robust against the frequency-selective fading caused by sever multi-path scattering and narrowband interference. This ongoing evaluation has accelerated the development of System-on-chip (SoC) platform to support the physical layer of these technologies. In this paper, Field Programmable Gate Array (FPGA) implementation of channel coder, its decoder, interleaver and deinterleaver of MIMO-OFDM are discussed. Convolutional encoder of code rate 1/2 is used because of its less complexity and Viterbi decoder is used for decoding. Interleaver and Deinterleaver is used to remove the burst error thus improving the performance.","PeriodicalId":149965,"journal":{"name":"2014 International Conference on Communication and Signal Processing","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116206770","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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