Pub Date : 2017-11-01DOI: 10.1109/ICAIT.2017.8388903
Yu Cao, Linghua Zhang
This paper proposes a data fusion method for Heterogeneous Wireless Sensor Networks (WSN). On the basis of the classic heterogeneous network clustering algorithm Stable Election Protocol(SEP), the intermediate nodes are added to optimize the information transfer within the cluster, and the Back Propagation(BP) neural network is used to fuse the data received from the cluster head into the cluster. The simulation results show that the method can greatly improve the energy consumption of nodes and the lifetime of wireless sensor networks.
{"title":"Data fusion of heterogeneous network based on BP neural network and improved SEP","authors":"Yu Cao, Linghua Zhang","doi":"10.1109/ICAIT.2017.8388903","DOIUrl":"https://doi.org/10.1109/ICAIT.2017.8388903","url":null,"abstract":"This paper proposes a data fusion method for Heterogeneous Wireless Sensor Networks (WSN). On the basis of the classic heterogeneous network clustering algorithm Stable Election Protocol(SEP), the intermediate nodes are added to optimize the information transfer within the cluster, and the Back Propagation(BP) neural network is used to fuse the data received from the cluster head into the cluster. The simulation results show that the method can greatly improve the energy consumption of nodes and the lifetime of wireless sensor networks.","PeriodicalId":376884,"journal":{"name":"2017 9th International Conference on Advanced Infocomm Technology (ICAIT)","volume":"285 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114184160","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 : 2017-11-01DOI: 10.1109/ICAIT.2017.8388893
Liling Xu, Nong Jin, Xingfang Luo
In order to enhance information capacity and accommodate the rapid development of modern science and technology, design of left hand materials with the broadband and multiple frequency resonant characteristics has gained great attention. In this paper, we have theoretically devised and then experimentally validated a novel left-handed material (LHM) structure for multi-band operation. The proposed structure consists of a split-ring resonator (SRR) and defected ground structure (DGS) structure, which can provide arbitrarily positioned passbands by varying some geometrical parameters of the unit cell. The proposed dual LHM structure has been fabricated to demonstrate the applicability of the proposed unit cell. The experimental measured result is in good agreement with the simulation results. The designed device exhibits dual-pass band centered at 2.4GHz and 5.8GHz. The proposed LHM structure exhibits negative permittivity, and permeability in the targeted frequency ranges, which can be used in modern wireless communication systems for dual-band antenna application.
{"title":"Design of dual-band left-handed materials with double-left-handed characteristics","authors":"Liling Xu, Nong Jin, Xingfang Luo","doi":"10.1109/ICAIT.2017.8388893","DOIUrl":"https://doi.org/10.1109/ICAIT.2017.8388893","url":null,"abstract":"In order to enhance information capacity and accommodate the rapid development of modern science and technology, design of left hand materials with the broadband and multiple frequency resonant characteristics has gained great attention. In this paper, we have theoretically devised and then experimentally validated a novel left-handed material (LHM) structure for multi-band operation. The proposed structure consists of a split-ring resonator (SRR) and defected ground structure (DGS) structure, which can provide arbitrarily positioned passbands by varying some geometrical parameters of the unit cell. The proposed dual LHM structure has been fabricated to demonstrate the applicability of the proposed unit cell. The experimental measured result is in good agreement with the simulation results. The designed device exhibits dual-pass band centered at 2.4GHz and 5.8GHz. The proposed LHM structure exhibits negative permittivity, and permeability in the targeted frequency ranges, which can be used in modern wireless communication systems for dual-band antenna application.","PeriodicalId":376884,"journal":{"name":"2017 9th International Conference on Advanced Infocomm Technology (ICAIT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129550556","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}
Hyperspectral imaging system can be used to measure the object in a continuous waveband, which can capture the spatial information and spectral information simultaneously. So hyperspectral images can not only reflect the external characteristics of the object through the spatial information, but also reflect its internal qualities of the spectral information. Based on this advantage, hyperspectral imaging has been widely used in the quality detection of agricultural products. Firstly, this paper summarizes the application of different imaging modes under different conditions based on hyperspectral imaging. Then it sums up the methods of spectral preprocessing and their applications in hyperspectral systems, the multiplicative scatter correction, the standard normal variable, the savitzky-golay smoothing, median-filter and the spectral differential all can correct the spectrum effectively in diverse backgrounds. Again, in this paper some common methods of hyperspectral data reduction are summarized either, the methods of principal component analysis, partial least squares, optimum index factor, successive projection algorithm and load factor are all widely used in reduction of hyperspectral data in agricultural products, these methods mentioned above can decrease the data dimension by feature extraction or feature selection, not only to simplify the computational process but to optimize conclusions through reduce redundancy information.
{"title":"Application of Vis-NIR hyperspectral imaging in agricultural products detection","authors":"Nannan Hu, Dongmei Wei, Liren Zhang, Jingjing Wang, Huaqiang Xu, Yuefeng Zhao","doi":"10.1109/ICAIT.2017.8388944","DOIUrl":"https://doi.org/10.1109/ICAIT.2017.8388944","url":null,"abstract":"Hyperspectral imaging system can be used to measure the object in a continuous waveband, which can capture the spatial information and spectral information simultaneously. So hyperspectral images can not only reflect the external characteristics of the object through the spatial information, but also reflect its internal qualities of the spectral information. Based on this advantage, hyperspectral imaging has been widely used in the quality detection of agricultural products. Firstly, this paper summarizes the application of different imaging modes under different conditions based on hyperspectral imaging. Then it sums up the methods of spectral preprocessing and their applications in hyperspectral systems, the multiplicative scatter correction, the standard normal variable, the savitzky-golay smoothing, median-filter and the spectral differential all can correct the spectrum effectively in diverse backgrounds. Again, in this paper some common methods of hyperspectral data reduction are summarized either, the methods of principal component analysis, partial least squares, optimum index factor, successive projection algorithm and load factor are all widely used in reduction of hyperspectral data in agricultural products, these methods mentioned above can decrease the data dimension by feature extraction or feature selection, not only to simplify the computational process but to optimize conclusions through reduce redundancy information.","PeriodicalId":376884,"journal":{"name":"2017 9th International Conference on Advanced Infocomm Technology (ICAIT)","volume":"262 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116237277","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 : 2017-11-01DOI: 10.1109/ICAIT.2017.8388907
Meng Li, Chaowei Wang, Weidong Wang, Cai Qin, Xiuhua Li
Multi-objective optimization is a technology of multiple criteria decision making, which is suitable for routing and clustering in wireless sensor networks (WSNs). In WSNs, clustering need to consider nodes' energy, the distance to the cluster heads (CHs), etc. Additionally, routing need to consider nodes' energy and the hops to the base station (BS), etc. However, existing algorithms just consider some of the factors or convert multiple factors into a single objective function resulting in worse performances. In this paper, an improved non-dominated sorting particle swarm optimizer for multi-objective optimization (INSPSO) is proposed to prolong network lifetime. We also adopt a non-uniform clustering strategy to avoid hot spot problem caused by multi-hop communication. Then, we simulate the proposed algorithm and compare with some existing clustering and routing algorithms to demonstrate the advantages of our algorithm.
{"title":"Multi-objective clustering and routing for maximizing lifetime of wireless sensor networks","authors":"Meng Li, Chaowei Wang, Weidong Wang, Cai Qin, Xiuhua Li","doi":"10.1109/ICAIT.2017.8388907","DOIUrl":"https://doi.org/10.1109/ICAIT.2017.8388907","url":null,"abstract":"Multi-objective optimization is a technology of multiple criteria decision making, which is suitable for routing and clustering in wireless sensor networks (WSNs). In WSNs, clustering need to consider nodes' energy, the distance to the cluster heads (CHs), etc. Additionally, routing need to consider nodes' energy and the hops to the base station (BS), etc. However, existing algorithms just consider some of the factors or convert multiple factors into a single objective function resulting in worse performances. In this paper, an improved non-dominated sorting particle swarm optimizer for multi-objective optimization (INSPSO) is proposed to prolong network lifetime. We also adopt a non-uniform clustering strategy to avoid hot spot problem caused by multi-hop communication. Then, we simulate the proposed algorithm and compare with some existing clustering and routing algorithms to demonstrate the advantages of our algorithm.","PeriodicalId":376884,"journal":{"name":"2017 9th International Conference on Advanced Infocomm Technology (ICAIT)","volume":"478 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131854163","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 : 2017-11-01DOI: 10.1109/ICAIT.2017.8388913
Weida Zhan, Ziqiang Hao, Yanfeng Tang, Jiarong Wang, Chunyan Nan
The differential pulse position modulation (DPPM) is analyzed. Considering various engineering factors, the modulation order and transmission rate of DPMM are confirmed. The parameter budget method of pulsed fiber laser is proposed, and the parameters such as repetition frequency and linewidth are estimated. The link formula of deep space optical communication is established. The relationship between transmitting power, link distance and receiving power is analyzed, and the average power and peak power of laser are designed. Simulation results show that when the modulation order of DPPM is 8, the transmission rate is 500Mbps, and the repetition frequency of pulse fiber laser is 500MHz, the linewidth is 0.1ns, the average transmitting power is 6.8W, the peak power is 1000W, it can meet the ultra long distance 150,000 km deep space optical communication needs.
{"title":"Parameter budget of DPPM and pulse fiber laser in deep space optical communication","authors":"Weida Zhan, Ziqiang Hao, Yanfeng Tang, Jiarong Wang, Chunyan Nan","doi":"10.1109/ICAIT.2017.8388913","DOIUrl":"https://doi.org/10.1109/ICAIT.2017.8388913","url":null,"abstract":"The differential pulse position modulation (DPPM) is analyzed. Considering various engineering factors, the modulation order and transmission rate of DPMM are confirmed. The parameter budget method of pulsed fiber laser is proposed, and the parameters such as repetition frequency and linewidth are estimated. The link formula of deep space optical communication is established. The relationship between transmitting power, link distance and receiving power is analyzed, and the average power and peak power of laser are designed. Simulation results show that when the modulation order of DPPM is 8, the transmission rate is 500Mbps, and the repetition frequency of pulse fiber laser is 500MHz, the linewidth is 0.1ns, the average transmitting power is 6.8W, the peak power is 1000W, it can meet the ultra long distance 150,000 km deep space optical communication needs.","PeriodicalId":376884,"journal":{"name":"2017 9th International Conference on Advanced Infocomm Technology (ICAIT)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117048979","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 : 2017-11-01DOI: 10.1109/ICAIT.2017.8388900
Z. Zhang, Ruonan Han, Cheng Wang, Gaofeng Cui, Weidong Wang
High-Order Cumulants (HOCs) is widely used as the feature in automatic modulation classification (AMC) for it has the outstanding resiliency to noise. However, traditional works require more than Nyquist sampling rate for HOCs extraction. In this work, a HOCs-based method based on compressive sensing (CS-HOC) is introduced. Without reconstructing the original signal, we propose a scheme to estimate the fourth-order and sixth-order cumulants of unknown signals based on received compressive samples, which greatly reduces the number of samples. In order to deduce the sparse representation of fourth-order and sixth-order statistic, the Walsh-Hadamard Transform is brought in. From the simulations we can see that the CS-HOC method distinctly promotes the classification rate compared with traditional sampling schemes.
{"title":"Automatic modulation classification using compressive sensing based on High-Order Cumulants","authors":"Z. Zhang, Ruonan Han, Cheng Wang, Gaofeng Cui, Weidong Wang","doi":"10.1109/ICAIT.2017.8388900","DOIUrl":"https://doi.org/10.1109/ICAIT.2017.8388900","url":null,"abstract":"High-Order Cumulants (HOCs) is widely used as the feature in automatic modulation classification (AMC) for it has the outstanding resiliency to noise. However, traditional works require more than Nyquist sampling rate for HOCs extraction. In this work, a HOCs-based method based on compressive sensing (CS-HOC) is introduced. Without reconstructing the original signal, we propose a scheme to estimate the fourth-order and sixth-order cumulants of unknown signals based on received compressive samples, which greatly reduces the number of samples. In order to deduce the sparse representation of fourth-order and sixth-order statistic, the Walsh-Hadamard Transform is brought in. From the simulations we can see that the CS-HOC method distinctly promotes the classification rate compared with traditional sampling schemes.","PeriodicalId":376884,"journal":{"name":"2017 9th International Conference on Advanced Infocomm Technology (ICAIT)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128624940","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, the method of ensemble clustering model of hyperspectral image segmentation is proposed. We select several abundant information and identifiable band from each hyperspectral face images cube using Principal Component Analysis, in order to alleviate the computation burden and improve the clustering performance. K-means base clustering is performed on the all selected bands respectively, and different initial clustering center values were given to each band. This solves the K-means over-reliance on the initial clustering center values. Finally, we use the automatic integration method based on factor graph to fuse the results of base clustering and gain the more robust cluster result.
{"title":"Ensemble clustering model of hyperspectral image segmentation","authors":"Mengmeng Wu, Yuefeng Zhao, Liren Zhang, Jingjing Wang, Huaqiang Xu, Dongmei Wei","doi":"10.1109/ICAIT.2017.8388945","DOIUrl":"https://doi.org/10.1109/ICAIT.2017.8388945","url":null,"abstract":"In this paper, the method of ensemble clustering model of hyperspectral image segmentation is proposed. We select several abundant information and identifiable band from each hyperspectral face images cube using Principal Component Analysis, in order to alleviate the computation burden and improve the clustering performance. K-means base clustering is performed on the all selected bands respectively, and different initial clustering center values were given to each band. This solves the K-means over-reliance on the initial clustering center values. Finally, we use the automatic integration method based on factor graph to fuse the results of base clustering and gain the more robust cluster result.","PeriodicalId":376884,"journal":{"name":"2017 9th International Conference on Advanced Infocomm Technology (ICAIT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129535499","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 : 2017-11-01DOI: 10.1109/ICAIT.2017.8388932
Ming Gao, Cheng Wang, Gaofeng Cui, Yinghai Zhang, Weidong Wang
Satellite communication plays an important role in the global connection for its large coverage and stability against the terrestrial disaster. Usually the on-board signal processor is customized for the satellite which it is implemented on, with high processing ability but also with high construction cost and difficulty of reconfiguration. Thus a reconfigurable on-board processor is required to fulfill the demand of more frequent and periodic configuration update. This paper presents a computing task allocation scheme based on general purpose processor, (GPP)-digital signal processor (DSP) signal processing system, in which GPP handles the generic algorithms such as channel coding, modulation, time and frequency synchronization while DSP is in charge of special mathematic operations. We first introduce a low earth orbit (LEO) orthogonal frequency division multiplexing (OFDM) satellite physical layer system as an example with an analysis of the system's calculation characteristics. After that, a computing task allocation scheme corresponding to the system is derived based on the computation characteristic of all the modules in the system. Finally, the processing time with and without the scheme algorithm is tested on a system consist of a PC and a DSP board. Experiment results show that the processing time of the DSP-GPP system is shortened using the proposed scheme, compared to the GPP-only system without the task allocation scheme.
{"title":"A GPP-DSP based computing task allocation scheme for on-board signal processing in OFDM satellite system","authors":"Ming Gao, Cheng Wang, Gaofeng Cui, Yinghai Zhang, Weidong Wang","doi":"10.1109/ICAIT.2017.8388932","DOIUrl":"https://doi.org/10.1109/ICAIT.2017.8388932","url":null,"abstract":"Satellite communication plays an important role in the global connection for its large coverage and stability against the terrestrial disaster. Usually the on-board signal processor is customized for the satellite which it is implemented on, with high processing ability but also with high construction cost and difficulty of reconfiguration. Thus a reconfigurable on-board processor is required to fulfill the demand of more frequent and periodic configuration update. This paper presents a computing task allocation scheme based on general purpose processor, (GPP)-digital signal processor (DSP) signal processing system, in which GPP handles the generic algorithms such as channel coding, modulation, time and frequency synchronization while DSP is in charge of special mathematic operations. We first introduce a low earth orbit (LEO) orthogonal frequency division multiplexing (OFDM) satellite physical layer system as an example with an analysis of the system's calculation characteristics. After that, a computing task allocation scheme corresponding to the system is derived based on the computation characteristic of all the modules in the system. Finally, the processing time with and without the scheme algorithm is tested on a system consist of a PC and a DSP board. Experiment results show that the processing time of the DSP-GPP system is shortened using the proposed scheme, compared to the GPP-only system without the task allocation scheme.","PeriodicalId":376884,"journal":{"name":"2017 9th International Conference on Advanced Infocomm Technology (ICAIT)","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132393333","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 : 2017-11-01DOI: 10.1109/ICAIT.2017.8388919
Xinpeng Li, Jie Yang, H. Zhang, Xin Gao, Bo Yan, Q. Jia, Yongzheng Mu
In order to grasp the running status of the smart grid dispatching and control system in time, a parallel evaluation method of health degree based on MapReduce is proposed in this paper for the system's business complexity, complexity of evaluation indicators, large amount of evaluation calculation and requirement of evaluation time. Firstly, the health degree evaluation system which reflects the relationship between service level and priority is sorted out on the basis of D5000 system hierarchy analysis. Secondly, the health score of the system is calculated by modular MapReduce framework. In the first level MapReduce, Map task reads data and splits task. Reduce task calculates second-level indicators by hierarchical of D5000 system. In the second level MapReduce, it summaries score of second-level indicators in order to get the score of system and give the system status. Meanwhile, the adaptive task scheduling method ensure the system load balancing. Finally, the experiment platform of health evaluation of D5000 system is established, and the health evaluation experiment is carried out by the data of D5000 system. The result shows that the proposed method improves the efficiency of health calculation.
{"title":"A parallel evaluation method of health degree based on MapReduce for smart grid dispatching and control system","authors":"Xinpeng Li, Jie Yang, H. Zhang, Xin Gao, Bo Yan, Q. Jia, Yongzheng Mu","doi":"10.1109/ICAIT.2017.8388919","DOIUrl":"https://doi.org/10.1109/ICAIT.2017.8388919","url":null,"abstract":"In order to grasp the running status of the smart grid dispatching and control system in time, a parallel evaluation method of health degree based on MapReduce is proposed in this paper for the system's business complexity, complexity of evaluation indicators, large amount of evaluation calculation and requirement of evaluation time. Firstly, the health degree evaluation system which reflects the relationship between service level and priority is sorted out on the basis of D5000 system hierarchy analysis. Secondly, the health score of the system is calculated by modular MapReduce framework. In the first level MapReduce, Map task reads data and splits task. Reduce task calculates second-level indicators by hierarchical of D5000 system. In the second level MapReduce, it summaries score of second-level indicators in order to get the score of system and give the system status. Meanwhile, the adaptive task scheduling method ensure the system load balancing. Finally, the experiment platform of health evaluation of D5000 system is established, and the health evaluation experiment is carried out by the data of D5000 system. The result shows that the proposed method improves the efficiency of health calculation.","PeriodicalId":376884,"journal":{"name":"2017 9th International Conference on Advanced Infocomm Technology (ICAIT)","volume":"269 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122184239","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 : 2017-11-01DOI: 10.1109/ICAIT.2017.8388950
Shuo Chen, Chenggao Luo, B. Deng, Yuliang Qin, Hongqiang Wang, Z. Zhuang
Two dimensional (2D) radar coded aperture imaging is a cutting-edge imaging technology which can achieve high-resolution, forward-looking and staring imaging. This paper extends the imaging method to three dimensions. Such a three-dimensional (3D) radar imaging technique does not rely on Doppler frequency for resolution and has an extremely short imaging time. 3D radar coded aperture imaging consequently can derive high-quality images for stationary targets. The validity of the proposed imaging technique is confirmed by numerical simulations.
{"title":"Radar coded aperture imaging for three dimensional target","authors":"Shuo Chen, Chenggao Luo, B. Deng, Yuliang Qin, Hongqiang Wang, Z. Zhuang","doi":"10.1109/ICAIT.2017.8388950","DOIUrl":"https://doi.org/10.1109/ICAIT.2017.8388950","url":null,"abstract":"Two dimensional (2D) radar coded aperture imaging is a cutting-edge imaging technology which can achieve high-resolution, forward-looking and staring imaging. This paper extends the imaging method to three dimensions. Such a three-dimensional (3D) radar imaging technique does not rely on Doppler frequency for resolution and has an extremely short imaging time. 3D radar coded aperture imaging consequently can derive high-quality images for stationary targets. The validity of the proposed imaging technique is confirmed by numerical simulations.","PeriodicalId":376884,"journal":{"name":"2017 9th International Conference on Advanced Infocomm Technology (ICAIT)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124978595","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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