Viewing improvement is an important step in lung computed tomography (CT) image analysis. It assists to make diagnosis more accurate. In this paper, a new viewing improvement method for lung CT images is introduced. The proposed method consists of two stages. In the first stage, the image was deblurred and sharpened using the unsharp masking method. In the second stage, pre-processed image was enhanced the viewing by a modified method, thresholded local intensity area descriptor. The experiments were conducted on lung CT images from the LIDC-IDRI database. For the viewing improvement evaluation, our method was evaluated subjectively and quantitatively by five different measures of enhancement: Absolute mean brightness error, Edge content, Entropy, Peak signal-to-noise ratio, and Tenengrad criterion. The results clearly indicated that our approach was better than eight contrast enhancement methods. The proposed approach not only improved the contrast of the lung CT images, but also retained information essential for clinical diagnosis. Thus, it is expected to assist in improving the accuracy of diagnosis by physicians and computer-aided detection/diagnosis systems.
{"title":"Computed Tomography Image of Lung: A Visualization Enhancement Approach Based on Unsharp Marking and Thresholded Local Intensity Area Descriptor","authors":"Chi-Kien Tran, Tsair-Fwu Lee, Trong-The Nguyen, Duc-Tinh Pham","doi":"10.1109/ICCAIS56082.2022.9990411","DOIUrl":"https://doi.org/10.1109/ICCAIS56082.2022.9990411","url":null,"abstract":"Viewing improvement is an important step in lung computed tomography (CT) image analysis. It assists to make diagnosis more accurate. In this paper, a new viewing improvement method for lung CT images is introduced. The proposed method consists of two stages. In the first stage, the image was deblurred and sharpened using the unsharp masking method. In the second stage, pre-processed image was enhanced the viewing by a modified method, thresholded local intensity area descriptor. The experiments were conducted on lung CT images from the LIDC-IDRI database. For the viewing improvement evaluation, our method was evaluated subjectively and quantitatively by five different measures of enhancement: Absolute mean brightness error, Edge content, Entropy, Peak signal-to-noise ratio, and Tenengrad criterion. The results clearly indicated that our approach was better than eight contrast enhancement methods. The proposed approach not only improved the contrast of the lung CT images, but also retained information essential for clinical diagnosis. Thus, it is expected to assist in improving the accuracy of diagnosis by physicians and computer-aided detection/diagnosis systems.","PeriodicalId":273404,"journal":{"name":"2022 11th International Conference on Control, Automation and Information Sciences (ICCAIS)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115646964","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 : 2022-11-21DOI: 10.1109/ICCAIS56082.2022.9990359
Van-Phuong Ha, T. Dao, Minh-Hoang Le, N. Pham, Viet-Tung Nguyen, Dinh-Van Nguyen
Wireless sensor networks are currently widely used in many practical fields with high efficiency. Sensor nodes in a network can be very diverse, rich in types and have multiple modes of operation to meet the requirements of practical problems. In outdoor monitoring networks, sensor nodes are frequently able to harvest solar energy to ensure the node operation for a long time. This paper introduces solar-powered sensor nodes for outdoor monitoring operation with the ability of customizing the working schedule, which make it convenient when being used in the realization of optimized network schedule to ensure the long-term operation stability.
{"title":"Static Scheduling Optimization for Outdoor Monitoring Sensor Networks based on Customizable Nodes","authors":"Van-Phuong Ha, T. Dao, Minh-Hoang Le, N. Pham, Viet-Tung Nguyen, Dinh-Van Nguyen","doi":"10.1109/ICCAIS56082.2022.9990359","DOIUrl":"https://doi.org/10.1109/ICCAIS56082.2022.9990359","url":null,"abstract":"Wireless sensor networks are currently widely used in many practical fields with high efficiency. Sensor nodes in a network can be very diverse, rich in types and have multiple modes of operation to meet the requirements of practical problems. In outdoor monitoring networks, sensor nodes are frequently able to harvest solar energy to ensure the node operation for a long time. This paper introduces solar-powered sensor nodes for outdoor monitoring operation with the ability of customizing the working schedule, which make it convenient when being used in the realization of optimized network schedule to ensure the long-term operation stability.","PeriodicalId":273404,"journal":{"name":"2022 11th International Conference on Control, Automation and Information Sciences (ICCAIS)","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121816035","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 : 2022-11-21DOI: 10.1109/ICCAIS56082.2022.9990542
Jeremy Gillbanks, G. Umana-Membreno, M. Myers, B. Nener, G. Parish
We present the result of investigations into anomalous drift behavior in AlGaN/GaN-based chemical sensors; a problem that must be addressed in such sensors to achieve their great promise as a portable sensor technology. Leakage current measurements undertaken on AlGaN/GaN-based sensor devices were fitted with a parallel diode model. Some sensors were then destructively tested using phosphoric acid etchant to decorate the defects, allowing the density of conductive screw dislocations to be quantified. A strong correlation between diode saturation current and defect density was then established. The remaining devices were encapsulated as working sensors and left in an ionic solution to determine the normalized root mean square error as a measure of drift. This also exhibited a strong correlation with the saturation current, thus establishing a link between semiconductor defect density, leakage current, and uncorrelated drift over time for AlGaN/GaN chemical sensors.
{"title":"Prediction of Anomalous Variation in GaN-based Chemical Sensors","authors":"Jeremy Gillbanks, G. Umana-Membreno, M. Myers, B. Nener, G. Parish","doi":"10.1109/ICCAIS56082.2022.9990542","DOIUrl":"https://doi.org/10.1109/ICCAIS56082.2022.9990542","url":null,"abstract":"We present the result of investigations into anomalous drift behavior in AlGaN/GaN-based chemical sensors; a problem that must be addressed in such sensors to achieve their great promise as a portable sensor technology. Leakage current measurements undertaken on AlGaN/GaN-based sensor devices were fitted with a parallel diode model. Some sensors were then destructively tested using phosphoric acid etchant to decorate the defects, allowing the density of conductive screw dislocations to be quantified. A strong correlation between diode saturation current and defect density was then established. The remaining devices were encapsulated as working sensors and left in an ionic solution to determine the normalized root mean square error as a measure of drift. This also exhibited a strong correlation with the saturation current, thus establishing a link between semiconductor defect density, leakage current, and uncorrelated drift over time for AlGaN/GaN chemical sensors.","PeriodicalId":273404,"journal":{"name":"2022 11th International Conference on Control, Automation and Information Sciences (ICCAIS)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126608527","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 : 2022-11-21DOI: 10.1109/ICCAIS56082.2022.9990547
Yan Xu, Huiyue Yi, Wuxiong Zhang, Hui Xu
The range resolution is a critical element for accurately detecting an object in the frequency modulated continuous wave (FMCW) radar system. However, the efficacy of existing correlation-based range estimate algorithms suffers dramatically under the low signal-to-noise ratio (SNR). A quadratic correlation algorithm with variable sets of lags is proposed to improve the estimation accuracy in order to overcome this challenge. The time translation parameter is varied in the proposed method to reduce noise influence, and a method for selecting the lag sequence sets is proposed to reduce computing complexity. Firstly, a variable time translation parameter is utilized to extract two signal segments from the received signal. Then, the autocorrelation function of the first signal segment along with the cross-correlation function of the two signal segments are obtained, and the quadratic correlation of the above two correlation functions is calculated for a lag sequence set with an initial lag step. Moreover, the expression for the frequency estimation as well as the range estimation is derived, and the mean and standard deviation of range estimation can be statistically obtained from the range estimates. Finally, if the standard deviation of the range estimation is above the prefixed standard deviation threshold, the lag step is modified and the above range estimation process is repeated; otherwise, the range estimation is obtained. The simulation results show that the proposed quadratic correlation algorithm with variable sets of lags outperforms existing approaches in terms of range accuracy.
{"title":"A quadratic correlation algorithm with variable sets of lags for frequency estimation","authors":"Yan Xu, Huiyue Yi, Wuxiong Zhang, Hui Xu","doi":"10.1109/ICCAIS56082.2022.9990547","DOIUrl":"https://doi.org/10.1109/ICCAIS56082.2022.9990547","url":null,"abstract":"The range resolution is a critical element for accurately detecting an object in the frequency modulated continuous wave (FMCW) radar system. However, the efficacy of existing correlation-based range estimate algorithms suffers dramatically under the low signal-to-noise ratio (SNR). A quadratic correlation algorithm with variable sets of lags is proposed to improve the estimation accuracy in order to overcome this challenge. The time translation parameter is varied in the proposed method to reduce noise influence, and a method for selecting the lag sequence sets is proposed to reduce computing complexity. Firstly, a variable time translation parameter is utilized to extract two signal segments from the received signal. Then, the autocorrelation function of the first signal segment along with the cross-correlation function of the two signal segments are obtained, and the quadratic correlation of the above two correlation functions is calculated for a lag sequence set with an initial lag step. Moreover, the expression for the frequency estimation as well as the range estimation is derived, and the mean and standard deviation of range estimation can be statistically obtained from the range estimates. Finally, if the standard deviation of the range estimation is above the prefixed standard deviation threshold, the lag step is modified and the above range estimation process is repeated; otherwise, the range estimation is obtained. The simulation results show that the proposed quadratic correlation algorithm with variable sets of lags outperforms existing approaches in terms of range accuracy.","PeriodicalId":273404,"journal":{"name":"2022 11th International Conference on Control, Automation and Information Sciences (ICCAIS)","volume":"15 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114774869","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 : 2022-11-21DOI: 10.1109/ICCAIS56082.2022.9990272
Nguyen Quoc Minh, Dominik Mai, Ha Huy Phuc Nguyen
The rapid development of photovoltaic power within a few years has added an abundant source of clean energy to the power system of Viet Nam, especially the power shortage become more serious in recent years. Clean energy such as PV power helps to reduce greenhouse gas emissions and becomes a global trend. During operation, the PV array can get into fault conditions which affect the system performance if not detected correctly and timely. Traditional PV fault detection methods such as statistical signal processing, power loss analysis, voltage and current measurement have been used to detect and locate fault position. However, these methods accuracy may be affected by installation conditions or PV array materials. In this research, we propose to use machine learning models to detect and classify faults in PV array based on I-V data. The results show that the machine learning models can detect the fault in the PV array with an accuracy of up to 99.74%.
{"title":"PV array Fault Classification based on Machine Learning","authors":"Nguyen Quoc Minh, Dominik Mai, Ha Huy Phuc Nguyen","doi":"10.1109/ICCAIS56082.2022.9990272","DOIUrl":"https://doi.org/10.1109/ICCAIS56082.2022.9990272","url":null,"abstract":"The rapid development of photovoltaic power within a few years has added an abundant source of clean energy to the power system of Viet Nam, especially the power shortage become more serious in recent years. Clean energy such as PV power helps to reduce greenhouse gas emissions and becomes a global trend. During operation, the PV array can get into fault conditions which affect the system performance if not detected correctly and timely. Traditional PV fault detection methods such as statistical signal processing, power loss analysis, voltage and current measurement have been used to detect and locate fault position. However, these methods accuracy may be affected by installation conditions or PV array materials. In this research, we propose to use machine learning models to detect and classify faults in PV array based on I-V data. The results show that the machine learning models can detect the fault in the PV array with an accuracy of up to 99.74%.","PeriodicalId":273404,"journal":{"name":"2022 11th International Conference on Control, Automation and Information Sciences (ICCAIS)","volume":"2013 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128096283","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 : 2022-11-21DOI: 10.1109/ICCAIS56082.2022.9990234
Tatsuya Komatsu, Kansei Matsumoto, R. Miura, H. Oya, Y. Hoshi
In this paper, we propose a new estimation system for the calving time of cows based on monitoring ventral tail base surface temperature. In order to develop the proposed estimation system, ventral tail base surface temperature data is firstly analyzed by using continuous wavelet transform, and next feature parameters based on the analysis result are extracted. Finally, we show the proposed estimation system and its performance is discussed.
{"title":"Development of Estimation Systems of Calving Time Based on Time-Frequency Analysis for Ventral Tail Base Surface Temperature","authors":"Tatsuya Komatsu, Kansei Matsumoto, R. Miura, H. Oya, Y. Hoshi","doi":"10.1109/ICCAIS56082.2022.9990234","DOIUrl":"https://doi.org/10.1109/ICCAIS56082.2022.9990234","url":null,"abstract":"In this paper, we propose a new estimation system for the calving time of cows based on monitoring ventral tail base surface temperature. In order to develop the proposed estimation system, ventral tail base surface temperature data is firstly analyzed by using continuous wavelet transform, and next feature parameters based on the analysis result are extracted. Finally, we show the proposed estimation system and its performance is discussed.","PeriodicalId":273404,"journal":{"name":"2022 11th International Conference on Control, Automation and Information Sciences (ICCAIS)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126010003","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 : 2022-11-21DOI: 10.1109/ICCAIS56082.2022.9990307
Nhu Toan Nguyen, Duc Thinh Le, Van Trong Dang, V. Pham, D. H. Nguyen, D. C. Hoang, Tung Lam Nguyen
This paper presents a prescribed performance sliding mode approach (PPSMC) with a high-gain state observer for the double lane change maneuver of the autonomous vehicle. The proposed control method forces the tracking error to be bounded within a predefined region with a specific convergence rate, hence avoiding the overshoot phenomenon whenever the curvature of the desired path changes. Using the performance function, the original constrained tracking error is transformed into an equivalent unconstrained quantity, and the control signal is then constructed based on this transformed error. In addition, in practice, measuring precisely the entire state of the vehicle is generally demanding, especially the lateral velocity. Hence, the high-gain observer is introduced to estimate the full state of the system, which is then synthesized to the control signal. The stability of the closed-loop system is analyzed by means of the Lyapunov theory. The numerical simulations are carried out using the high-fidelity simulator Carsim and Matlab/Simulink to illustrate the effectiveness and validity of the proposed approach.
{"title":"Prescribed Tracking Performace for Lateral Control of an Autonomous Vehicle with High-Gain Observer","authors":"Nhu Toan Nguyen, Duc Thinh Le, Van Trong Dang, V. Pham, D. H. Nguyen, D. C. Hoang, Tung Lam Nguyen","doi":"10.1109/ICCAIS56082.2022.9990307","DOIUrl":"https://doi.org/10.1109/ICCAIS56082.2022.9990307","url":null,"abstract":"This paper presents a prescribed performance sliding mode approach (PPSMC) with a high-gain state observer for the double lane change maneuver of the autonomous vehicle. The proposed control method forces the tracking error to be bounded within a predefined region with a specific convergence rate, hence avoiding the overshoot phenomenon whenever the curvature of the desired path changes. Using the performance function, the original constrained tracking error is transformed into an equivalent unconstrained quantity, and the control signal is then constructed based on this transformed error. In addition, in practice, measuring precisely the entire state of the vehicle is generally demanding, especially the lateral velocity. Hence, the high-gain observer is introduced to estimate the full state of the system, which is then synthesized to the control signal. The stability of the closed-loop system is analyzed by means of the Lyapunov theory. The numerical simulations are carried out using the high-fidelity simulator Carsim and Matlab/Simulink to illustrate the effectiveness and validity of the proposed approach.","PeriodicalId":273404,"journal":{"name":"2022 11th International Conference on Control, Automation and Information Sciences (ICCAIS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115787064","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 : 2022-11-21DOI: 10.1109/ICCAIS56082.2022.9990031
Yun Zhu, Shuang Liang, Peng Li, Xiaojun Wu
Quantitative assessment of human pose quality is becoming more and more important in various real-world applications. This paper presents a novel optimal sub-pattern assignment based human pose assessment (OSPA-HPA) algorithm for automatically quantifying how well people perform poses. We model the human pose as a collection of finite sets of features. Then, the pose quality is measured using the dissimilarities between the collections representing the reference pose and the actual one. Inheriting the advantages of the OSPA distance, the proposed OSPA-HPA algorithm can naturally deal with the problems of feature loss and feature ambiguity. The effectiveness of the proposed algorithm was validated using three dance training scenarios.
{"title":"Robust Human Pose Quality Assessment Using Optimal Sub-Pattern Assignment","authors":"Yun Zhu, Shuang Liang, Peng Li, Xiaojun Wu","doi":"10.1109/ICCAIS56082.2022.9990031","DOIUrl":"https://doi.org/10.1109/ICCAIS56082.2022.9990031","url":null,"abstract":"Quantitative assessment of human pose quality is becoming more and more important in various real-world applications. This paper presents a novel optimal sub-pattern assignment based human pose assessment (OSPA-HPA) algorithm for automatically quantifying how well people perform poses. We model the human pose as a collection of finite sets of features. Then, the pose quality is measured using the dissimilarities between the collections representing the reference pose and the actual one. Inheriting the advantages of the OSPA distance, the proposed OSPA-HPA algorithm can naturally deal with the problems of feature loss and feature ambiguity. The effectiveness of the proposed algorithm was validated using three dance training scenarios.","PeriodicalId":273404,"journal":{"name":"2022 11th International Conference on Control, Automation and Information Sciences (ICCAIS)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133171237","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 : 2022-11-21DOI: 10.1109/ICCAIS56082.2022.9990105
Viet Hoang Pham, H. M. Nguyen, H. Ahn
This paper studies a modified economic dispatch problem (EDP) of an energy network when both power generation and transmission costs are taken into account. The considered network consists of power stations and energy consuming systems connecting via transmission lines. Due to the differences in generation costs and capacities of generators and the demand of consumers, it is highly required to have an optimal coordination in power generation distribution and power transmission. By assuming the cost functions have convex quadratic forms and applying Douglas–Rachford alternating direction method of multipliers (ADMM), we design a simple iteration update for each agent (corresponding to one power generators or one energy consumer systems) to determine the optimal power generation distribution (for generator nodes) and the optimal power transmitted to its neighbors in a distributed manner. The effectiveness of the proposed method is verified via numerical simulations for a modified IEEE 30-bus test network. We also remark that it can be used to solve the traditional EDP with a small modification in problem setup.
{"title":"Distributed coordination of power generation and transmission for an energy network","authors":"Viet Hoang Pham, H. M. Nguyen, H. Ahn","doi":"10.1109/ICCAIS56082.2022.9990105","DOIUrl":"https://doi.org/10.1109/ICCAIS56082.2022.9990105","url":null,"abstract":"This paper studies a modified economic dispatch problem (EDP) of an energy network when both power generation and transmission costs are taken into account. The considered network consists of power stations and energy consuming systems connecting via transmission lines. Due to the differences in generation costs and capacities of generators and the demand of consumers, it is highly required to have an optimal coordination in power generation distribution and power transmission. By assuming the cost functions have convex quadratic forms and applying Douglas–Rachford alternating direction method of multipliers (ADMM), we design a simple iteration update for each agent (corresponding to one power generators or one energy consumer systems) to determine the optimal power generation distribution (for generator nodes) and the optimal power transmitted to its neighbors in a distributed manner. The effectiveness of the proposed method is verified via numerical simulations for a modified IEEE 30-bus test network. We also remark that it can be used to solve the traditional EDP with a small modification in problem setup.","PeriodicalId":273404,"journal":{"name":"2022 11th International Conference on Control, Automation and Information Sciences (ICCAIS)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129713705","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 : 2022-11-21DOI: 10.1109/ICCAIS56082.2022.9990283
W. Zhang, Kai Zeng, Chuan Zhu, Xingyue Long, Wei Yi
This paper solves the problem of joint tracking and classification of weak targets using multi-frame joint processing technology. Weak targets are easily submerged in background noise, and single-frame threshold detection makes many of their feature information lost, making it challenging to track and classify them effectively. Aiming at solving these problems, a multi-frame joint tracking and classification (MF-JTC) method is proposed. The method achieves the accurate estimation of the motion trajectory and target class by jointly processing the radar measurement data in multi-frames. Finally, the results show that compared with the traditional single-frame joint tracking and classification (SF-JTC) method, the proposed method has better tracking and classification performance for weak targets.
{"title":"A Multi-Frame Joint Tracking and Classification Method for Weak Target in Radar System","authors":"W. Zhang, Kai Zeng, Chuan Zhu, Xingyue Long, Wei Yi","doi":"10.1109/ICCAIS56082.2022.9990283","DOIUrl":"https://doi.org/10.1109/ICCAIS56082.2022.9990283","url":null,"abstract":"This paper solves the problem of joint tracking and classification of weak targets using multi-frame joint processing technology. Weak targets are easily submerged in background noise, and single-frame threshold detection makes many of their feature information lost, making it challenging to track and classify them effectively. Aiming at solving these problems, a multi-frame joint tracking and classification (MF-JTC) method is proposed. The method achieves the accurate estimation of the motion trajectory and target class by jointly processing the radar measurement data in multi-frames. Finally, the results show that compared with the traditional single-frame joint tracking and classification (SF-JTC) method, the proposed method has better tracking and classification performance for weak targets.","PeriodicalId":273404,"journal":{"name":"2022 11th International Conference on Control, Automation and Information Sciences (ICCAIS)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128403438","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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