Pub Date : 2022-09-27DOI: 10.1109/ISCIT55906.2022.9931290
Yaxin Zhao, Chunzi Chen
In order to solve the communication security problem between clusters and clusters. This paper proposes a data-trusted transmission mechanism based on Merkle authentication, which guarantees the correctness, integrity, confidentiality and reliability of intra-cluster transmission and inter-cluster transmission messages. It can resist security problems such as forgery attacks and anti-replay attacks to a certain degree. The method adopts a hierarchical multipath routing scheme based on Merkle tree authentication. The hierarchical multipath routing scheme routes data by using multiple paths, can bypass malicious nodes to a certain extent, improve the reliability of the network, and even if the malicious node intercepts the data, it cannot know the complete information of the data.
{"title":"A Data Trusted Transmission Mechanism for IOT Based on Merkle Tree","authors":"Yaxin Zhao, Chunzi Chen","doi":"10.1109/ISCIT55906.2022.9931290","DOIUrl":"https://doi.org/10.1109/ISCIT55906.2022.9931290","url":null,"abstract":"In order to solve the communication security problem between clusters and clusters. This paper proposes a data-trusted transmission mechanism based on Merkle authentication, which guarantees the correctness, integrity, confidentiality and reliability of intra-cluster transmission and inter-cluster transmission messages. It can resist security problems such as forgery attacks and anti-replay attacks to a certain degree. The method adopts a hierarchical multipath routing scheme based on Merkle tree authentication. The hierarchical multipath routing scheme routes data by using multiple paths, can bypass malicious nodes to a certain extent, improve the reliability of the network, and even if the malicious node intercepts the data, it cannot know the complete information of the data.","PeriodicalId":325919,"journal":{"name":"2022 21st International Symposium on Communications and Information Technologies (ISCIT)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122597623","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 : 2022-09-27DOI: 10.1109/ISCIT55906.2022.9931233
Mengyao Tao, Lin Wan, Hongping Wang, Ting Su
Sewer defect identification aims to find out defects from the sewer inspection video frames, such as cracks, breaks, collapses and so on, to prevent pipeline accidents. Currently, most of the identification methods are based on single-label classification models, semantic segmentation models, or object detection models, which have achieved considerable results. However, these methods have their own limitations respectively. For example, the single-label classification-based methods can not recognize multiple defects at a time, but there may exist different types of defects in one pipeline section. The semantic segmentation-based methods are easily influenced by illumination conditions and video resolutions. And the object detection-based methods always need to regress bounding boxes, which is unnecessary as we can use the accompanied geographical coordinates to fast localize the place where the defects occur. Moreover, it also brings additional difficulties to the training process when defects are spatially overlapped. To tackle these problems, in this paper, we propose a correlation-aware feature enhancement network (CAFEN) for sewer defect identification, significantly boosting the performance of defect classifiers. Specifically, we present a graph-based learning module, label correlation learning module (LCL), to capture the correlation information among defect labels. Then we introduce the convolutional block attention module (CBAM) to capture the context information from the feature maps. Extracted features from the above two modules are fused to further enhance the feature representation. Furthermore, we design a class importance weights (CIW) loss function to prioritize different types of defects, enabling our model better recognize the important defects. Experiment results demonstrate that our proposed CAFEN outperforms previous models and achieves state-of-the-art performance on the Sewer-ML bench-mark.
{"title":"CAFEN: A Correlation-Aware Feature Enhancement Network for Sewer Defect Identification","authors":"Mengyao Tao, Lin Wan, Hongping Wang, Ting Su","doi":"10.1109/ISCIT55906.2022.9931233","DOIUrl":"https://doi.org/10.1109/ISCIT55906.2022.9931233","url":null,"abstract":"Sewer defect identification aims to find out defects from the sewer inspection video frames, such as cracks, breaks, collapses and so on, to prevent pipeline accidents. Currently, most of the identification methods are based on single-label classification models, semantic segmentation models, or object detection models, which have achieved considerable results. However, these methods have their own limitations respectively. For example, the single-label classification-based methods can not recognize multiple defects at a time, but there may exist different types of defects in one pipeline section. The semantic segmentation-based methods are easily influenced by illumination conditions and video resolutions. And the object detection-based methods always need to regress bounding boxes, which is unnecessary as we can use the accompanied geographical coordinates to fast localize the place where the defects occur. Moreover, it also brings additional difficulties to the training process when defects are spatially overlapped. To tackle these problems, in this paper, we propose a correlation-aware feature enhancement network (CAFEN) for sewer defect identification, significantly boosting the performance of defect classifiers. Specifically, we present a graph-based learning module, label correlation learning module (LCL), to capture the correlation information among defect labels. Then we introduce the convolutional block attention module (CBAM) to capture the context information from the feature maps. Extracted features from the above two modules are fused to further enhance the feature representation. Furthermore, we design a class importance weights (CIW) loss function to prioritize different types of defects, enabling our model better recognize the important defects. Experiment results demonstrate that our proposed CAFEN outperforms previous models and achieves state-of-the-art performance on the Sewer-ML bench-mark.","PeriodicalId":325919,"journal":{"name":"2022 21st International Symposium on Communications and Information Technologies (ISCIT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129591758","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}
In this paper, an ultra-wideband (UWB) low-profile antenna based on metasurface structure is proposed. The antenna consists of two layers of substrates, a wide slot (WS) and a microstrip feedline. The introduction of the metasurface structure generates a new resonance point of the antenna at higher frequencies. At the same time, slotting the microstrip feedline makes the impedance match better. Simulation results indicate that the proposed antenna attains a 98.47% impedance bandwidth (3.31GHz-9.73GHz). With a size of 54mm×54mm × 3.7mm the maximum gain of the whole band is 7.3dBi and the −3dB gain bandwidth is from 4.79GHz to 9.7GHz.
{"title":"An Ultra-Wideband Microstrip Slot Antenna based on Metasurface","authors":"Lin Tian, Baohao Chen, Yifeng Zhu, Guosheng Lu, Renxin Li, Chengliang Zhang, Xiaoxia Zhou","doi":"10.1109/ISCIT55906.2022.9931271","DOIUrl":"https://doi.org/10.1109/ISCIT55906.2022.9931271","url":null,"abstract":"In this paper, an ultra-wideband (UWB) low-profile antenna based on metasurface structure is proposed. The antenna consists of two layers of substrates, a wide slot (WS) and a microstrip feedline. The introduction of the metasurface structure generates a new resonance point of the antenna at higher frequencies. At the same time, slotting the microstrip feedline makes the impedance match better. Simulation results indicate that the proposed antenna attains a 98.47% impedance bandwidth (3.31GHz-9.73GHz). With a size of 54mm×54mm × 3.7mm the maximum gain of the whole band is 7.3dBi and the −3dB gain bandwidth is from 4.79GHz to 9.7GHz.","PeriodicalId":325919,"journal":{"name":"2022 21st International Symposium on Communications and Information Technologies (ISCIT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129705516","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 : 2022-09-27DOI: 10.1109/ISCIT55906.2022.9931288
Cong Xie, Guofa Cai, Yi Fang, Wenyang Xu, Pingping Chen
To mitigate the effect of multipath components on ranging performance, we investigate a new joint communication-and-localization system based on DCSK-UWB technique. In particular, we put forward a feedback variance-detection-based time of arrival (FVD-ToA) estimator for the DCSK-UWB system. Furthermore, we derive the Crammer-Rao lower bound (CRLB) and Ziv-Zakai lower bound (ZZLB) for the proposed DCSK-UWB-aided joint communication-and-localization system over IEEE 802.15.4a channel models. Simulation results illustrate that the proposed FVD-ToA estimator outperforms its non-feedback counterpart and the traditional energy-detection-based (ED) ToA estimator. In consequence, the proposed framework has desirable potential for the Internet-of-Things (IoT)-enabled joint communication-and-localization applications.
{"title":"Design of a New Feedback Variance-Detection-Based ToA Estimator for DCSK-UWB System","authors":"Cong Xie, Guofa Cai, Yi Fang, Wenyang Xu, Pingping Chen","doi":"10.1109/ISCIT55906.2022.9931288","DOIUrl":"https://doi.org/10.1109/ISCIT55906.2022.9931288","url":null,"abstract":"To mitigate the effect of multipath components on ranging performance, we investigate a new joint communication-and-localization system based on DCSK-UWB technique. In particular, we put forward a feedback variance-detection-based time of arrival (FVD-ToA) estimator for the DCSK-UWB system. Furthermore, we derive the Crammer-Rao lower bound (CRLB) and Ziv-Zakai lower bound (ZZLB) for the proposed DCSK-UWB-aided joint communication-and-localization system over IEEE 802.15.4a channel models. Simulation results illustrate that the proposed FVD-ToA estimator outperforms its non-feedback counterpart and the traditional energy-detection-based (ED) ToA estimator. In consequence, the proposed framework has desirable potential for the Internet-of-Things (IoT)-enabled joint communication-and-localization applications.","PeriodicalId":325919,"journal":{"name":"2022 21st International Symposium on Communications and Information Technologies (ISCIT)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124489012","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 : 2022-09-27DOI: 10.1109/ISCIT55906.2022.9931292
Feng Pei, Yongqi Liu, S. Ou, Haining Wang
Traditional speech enhancement algorithms are mostly attenuating filters, which introduce speech distortion when dealing with destructive noise. Some scholars have proposed a double-gain filter for speech enhancement, which considers the two types of noise coefficients, namely constructive noise and destructive noise. Since it is a double-gain filter, the type of noise needs to be classified before using the corresponding filter. Based on the difference of mean square error in double-gain filter, a new noise type classifier is proposed in this paper, which can effectively classify the types of noise before using the double-gain function. The simulation results show that the proposed error double-gain filter has improved speech intelligibility and comprehensive speech quality compared with the existing algorithms.
{"title":"A Noise Type Classifier for Speech Enhancement in DCT Domain","authors":"Feng Pei, Yongqi Liu, S. Ou, Haining Wang","doi":"10.1109/ISCIT55906.2022.9931292","DOIUrl":"https://doi.org/10.1109/ISCIT55906.2022.9931292","url":null,"abstract":"Traditional speech enhancement algorithms are mostly attenuating filters, which introduce speech distortion when dealing with destructive noise. Some scholars have proposed a double-gain filter for speech enhancement, which considers the two types of noise coefficients, namely constructive noise and destructive noise. Since it is a double-gain filter, the type of noise needs to be classified before using the corresponding filter. Based on the difference of mean square error in double-gain filter, a new noise type classifier is proposed in this paper, which can effectively classify the types of noise before using the double-gain function. The simulation results show that the proposed error double-gain filter has improved speech intelligibility and comprehensive speech quality compared with the existing algorithms.","PeriodicalId":325919,"journal":{"name":"2022 21st International Symposium on Communications and Information Technologies (ISCIT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127017359","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 : 2022-09-27DOI: 10.1109/ISCIT55906.2022.9931241
Firas Salika, Chamseddine Zaki, Eric Saux, Hassan Harb
Internet of things (IoT) network helps communities, cities and industries better manage their work efficiently and provides a superior quality of service. This can be applied on Wireless Body Sensor Networks (WBSN) employed in health-care industry. As any network, WBSN has its challenges that attracts researchers for its potential in serving humanity. Thus, enhancing WBSN could take many forms like enhancing the en-ergy consumption of sensors, the communication or transmission and data analysis. Many researches cater to the above topics individually or combined to promise better outcomes. In this paper, we present a comparative study for some of the techniques and enhancement that researchers bring into WBSN for e-health applications and highlighting the gaps that would be a target for future researches. We provide a detailed overview of WBSN purposes and used techniques. The paper presents a number of the recent advanced techniques which fall under the survey's objective and compare them. For an objective comparison, we focus on a set of criteria related to e-health and involving data reduction, energy conservation, decision-making up to the intervention.
{"title":"A Comparative Study for Evaluating Recent Advances in Wireless Body Sensor Network","authors":"Firas Salika, Chamseddine Zaki, Eric Saux, Hassan Harb","doi":"10.1109/ISCIT55906.2022.9931241","DOIUrl":"https://doi.org/10.1109/ISCIT55906.2022.9931241","url":null,"abstract":"Internet of things (IoT) network helps communities, cities and industries better manage their work efficiently and provides a superior quality of service. This can be applied on Wireless Body Sensor Networks (WBSN) employed in health-care industry. As any network, WBSN has its challenges that attracts researchers for its potential in serving humanity. Thus, enhancing WBSN could take many forms like enhancing the en-ergy consumption of sensors, the communication or transmission and data analysis. Many researches cater to the above topics individually or combined to promise better outcomes. In this paper, we present a comparative study for some of the techniques and enhancement that researchers bring into WBSN for e-health applications and highlighting the gaps that would be a target for future researches. We provide a detailed overview of WBSN purposes and used techniques. The paper presents a number of the recent advanced techniques which fall under the survey's objective and compare them. For an objective comparison, we focus on a set of criteria related to e-health and involving data reduction, energy conservation, decision-making up to the intervention.","PeriodicalId":325919,"journal":{"name":"2022 21st International Symposium on Communications and Information Technologies (ISCIT)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130465433","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}
Nowadays, as more and more senior citizens have retired and lived alone at home, the population aging issue is becoming serious. For this elderly group, their health and safety deserve more attention. In this paper, we design an emergency communication system to facilitate the health and safety monitoring of the elderly people living alone. The system consists of both hardware and software parts. The hardware part includes Raspberry Pi, sensors and LoRa modules. Among them, Raspberry Pi 4B+ is the core control board, and the Sense-Hat is an integrated board of sensors to collect relevant data. The LoRa modules are used to transmit data between the terminal and the gateway. The software part includes communication protocol, channel hopping strategy, fall detection algorithm and WeChat applet. Among them, the communication protocol combined with the channel hopping strategy can improve the quality and efficiency of communication between the gateway and the terminals, and the fall detection algorithm can monitor in real-time whether elderly people are incurring falling danger. Once a fall occurs, a warning message will be reported to the gateway, and then reported to the OneNet cloud platform and WeChat applet, so that the family members (say, sons or daughters) who are far away from home can know the situation of the elderly people at home. The system is helpful to realize remote nursing of the elderly people living alone.
{"title":"A Channel Hopping LoRa Technology Based Emergency Communication System for Elderly People Living Alone","authors":"Yayan Li, Zhiyong Lin, Zhenxiong Huang, Z. Cai, Litai Huang, Zong-Heng Wei","doi":"10.1109/ISCIT55906.2022.9931253","DOIUrl":"https://doi.org/10.1109/ISCIT55906.2022.9931253","url":null,"abstract":"Nowadays, as more and more senior citizens have retired and lived alone at home, the population aging issue is becoming serious. For this elderly group, their health and safety deserve more attention. In this paper, we design an emergency communication system to facilitate the health and safety monitoring of the elderly people living alone. The system consists of both hardware and software parts. The hardware part includes Raspberry Pi, sensors and LoRa modules. Among them, Raspberry Pi 4B+ is the core control board, and the Sense-Hat is an integrated board of sensors to collect relevant data. The LoRa modules are used to transmit data between the terminal and the gateway. The software part includes communication protocol, channel hopping strategy, fall detection algorithm and WeChat applet. Among them, the communication protocol combined with the channel hopping strategy can improve the quality and efficiency of communication between the gateway and the terminals, and the fall detection algorithm can monitor in real-time whether elderly people are incurring falling danger. Once a fall occurs, a warning message will be reported to the gateway, and then reported to the OneNet cloud platform and WeChat applet, so that the family members (say, sons or daughters) who are far away from home can know the situation of the elderly people at home. The system is helpful to realize remote nursing of the elderly people living alone.","PeriodicalId":325919,"journal":{"name":"2022 21st International Symposium on Communications and Information Technologies (ISCIT)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132160354","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 : 2022-09-27DOI: 10.1109/ISCIT55906.2022.9931235
Guanghao Jiang, Xiang Zhao, Wei Zhang
Energy efficiency and security are strongly required performance metrics for future wireless communication systems. As a high energy-efficiency technology, intelligent reflecting surface (IRS) can make wireless channel controllable, which is just desirable for physical layer security technology to extend the difference between the legal and eavesdropping channel. Up to now, most research on the secrecy energy efficiency (SEE) of IRS-aided communication systems are available for single legal user. In this paper, we investigate an IRS-aided multi-user wireless system and formulate a SEE maximization problem which is subject to the constraints of the transmit beamforming at base station and the reflecting beamforming at IRS. Generally, it is difficult to obtain an exact SEE under an imperfect eavesdropping channel state information. Thus, a lower bound of SEE is finally determined by an alternate optimization algorithm after a Dinkelbach transforming of the original problem. Simulation results show that IRS can effectively improve the SEE of the system, and the proposed algorithm is better than the benchmark algorithm in terms of SEE.
{"title":"Secrecy Energy Efficiency Optimization for IRS-Aided Multi-user Communication System","authors":"Guanghao Jiang, Xiang Zhao, Wei Zhang","doi":"10.1109/ISCIT55906.2022.9931235","DOIUrl":"https://doi.org/10.1109/ISCIT55906.2022.9931235","url":null,"abstract":"Energy efficiency and security are strongly required performance metrics for future wireless communication systems. As a high energy-efficiency technology, intelligent reflecting surface (IRS) can make wireless channel controllable, which is just desirable for physical layer security technology to extend the difference between the legal and eavesdropping channel. Up to now, most research on the secrecy energy efficiency (SEE) of IRS-aided communication systems are available for single legal user. In this paper, we investigate an IRS-aided multi-user wireless system and formulate a SEE maximization problem which is subject to the constraints of the transmit beamforming at base station and the reflecting beamforming at IRS. Generally, it is difficult to obtain an exact SEE under an imperfect eavesdropping channel state information. Thus, a lower bound of SEE is finally determined by an alternate optimization algorithm after a Dinkelbach transforming of the original problem. Simulation results show that IRS can effectively improve the SEE of the system, and the proposed algorithm is better than the benchmark algorithm in terms of SEE.","PeriodicalId":325919,"journal":{"name":"2022 21st International Symposium on Communications and Information Technologies (ISCIT)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132469984","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 : 2022-09-27DOI: 10.1109/ISCIT55906.2022.9931294
Kosuke Yoshinaga, N. Sasaoka
In this paper, we propose a speech enhancement method with suppressing impact noise for binaural hearing aids. Recently, speech enhancement using deep learning has been proposed, however it is difficult to mount it to hearing aids with limitations such as size and weight. Therefore, we adapt the multi-channel Wiener filter (MWF). The MWF is widely used to suppress stationary noise while preserving acoustic spatial information by using the spatial correlation matrix, but it cannot suppress impact noise with fast power change in short time. We propose to use low-rank approximation for improving the estimation accuracy of spatial correlation matrix of impact noise. Simulation results show that the proposed method suppresses various kind of impact noise while keeping acoustic spatial information.
{"title":"Impact Noise Suppression with MWF and Low-Rank Approximation for Binaural Hearing Aids","authors":"Kosuke Yoshinaga, N. Sasaoka","doi":"10.1109/ISCIT55906.2022.9931294","DOIUrl":"https://doi.org/10.1109/ISCIT55906.2022.9931294","url":null,"abstract":"In this paper, we propose a speech enhancement method with suppressing impact noise for binaural hearing aids. Recently, speech enhancement using deep learning has been proposed, however it is difficult to mount it to hearing aids with limitations such as size and weight. Therefore, we adapt the multi-channel Wiener filter (MWF). The MWF is widely used to suppress stationary noise while preserving acoustic spatial information by using the spatial correlation matrix, but it cannot suppress impact noise with fast power change in short time. We propose to use low-rank approximation for improving the estimation accuracy of spatial correlation matrix of impact noise. Simulation results show that the proposed method suppresses various kind of impact noise while keeping acoustic spatial information.","PeriodicalId":325919,"journal":{"name":"2022 21st International Symposium on Communications and Information Technologies (ISCIT)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133090005","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 : 2022-09-27DOI: 10.1109/ISCIT55906.2022.9931266
Ryusuke Kono, Minoru Komatsu, H. Matsumoto
In the communications system, when received signals do not include noises, we can accurately perform blind equalizations. However, when received signals include noises, equalization performance generally deteriorates. To solve this problem, an equalization method using Total Least Squares (TLS) with a noise removal unit was proposed. This method had a problem that it was slower convergence rate because this method was used the gradient method based on TLS for channel estimation and LMS method as the gradient method based on Mean Square Error (MSE) for the calculation of equalizer parameters. Therefore, in this paper, we aim to propose a higher convergence blind equalization method with noise removal unit. In the proposed method, first, for higher convergence rate of channel estimation, we propose a recursive method with an update rule that is like Recursive Least Squares (RLS) method based on TLS, noting that RLS method based on Least Squares is higher convergence rate. Second, the result is used for removing noises. Third, we calculate equalization parameters using estimated channel characteristics. In this calculation, RLS method instead of LMS method as gradient method is used for higher convergence rate. Last, we can achieve higher convergence rate can be obtained with maintaining higher equalization performance by giving these parameters to the equalizer every sample time. The proposed method is evaluated by computer simulation.
{"title":"Higher Convergence Adaptive Equalization Method with Noise Removal Function Using Total Least Squares Method","authors":"Ryusuke Kono, Minoru Komatsu, H. Matsumoto","doi":"10.1109/ISCIT55906.2022.9931266","DOIUrl":"https://doi.org/10.1109/ISCIT55906.2022.9931266","url":null,"abstract":"In the communications system, when received signals do not include noises, we can accurately perform blind equalizations. However, when received signals include noises, equalization performance generally deteriorates. To solve this problem, an equalization method using Total Least Squares (TLS) with a noise removal unit was proposed. This method had a problem that it was slower convergence rate because this method was used the gradient method based on TLS for channel estimation and LMS method as the gradient method based on Mean Square Error (MSE) for the calculation of equalizer parameters. Therefore, in this paper, we aim to propose a higher convergence blind equalization method with noise removal unit. In the proposed method, first, for higher convergence rate of channel estimation, we propose a recursive method with an update rule that is like Recursive Least Squares (RLS) method based on TLS, noting that RLS method based on Least Squares is higher convergence rate. Second, the result is used for removing noises. Third, we calculate equalization parameters using estimated channel characteristics. In this calculation, RLS method instead of LMS method as gradient method is used for higher convergence rate. Last, we can achieve higher convergence rate can be obtained with maintaining higher equalization performance by giving these parameters to the equalizer every sample time. The proposed method is evaluated by computer simulation.","PeriodicalId":325919,"journal":{"name":"2022 21st International Symposium on Communications and Information Technologies (ISCIT)","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123613515","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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