Pub Date : 2016-08-01DOI: 10.1109/ICEICT.2016.7879733
Xie Fei, Wang Xiaopan, Chen Xufeng, Wang Wei
In modern communication system, electromagnetic equipment is centralized arranged, near-field coupling effect among the various radio communication antennas cannot be ignored. In this paper, by means of numerical simulation and actual test, the coupling effects are simulated to study the near-field coupling effect of antennas in following situations: between two shortwave bipolar antennas, between the LPDA and VHF dipole antenna, and between two VHF line antennas when polarization directions have a difference of 45 degrees. The near-field coupling property regularities of radio antennas with the typical property frequency and pitch variation are summed up, and some simulation experiment is carried out.
{"title":"Near-field coupling characteristics of typical radio communication antennas","authors":"Xie Fei, Wang Xiaopan, Chen Xufeng, Wang Wei","doi":"10.1109/ICEICT.2016.7879733","DOIUrl":"https://doi.org/10.1109/ICEICT.2016.7879733","url":null,"abstract":"In modern communication system, electromagnetic equipment is centralized arranged, near-field coupling effect among the various radio communication antennas cannot be ignored. In this paper, by means of numerical simulation and actual test, the coupling effects are simulated to study the near-field coupling effect of antennas in following situations: between two shortwave bipolar antennas, between the LPDA and VHF dipole antenna, and between two VHF line antennas when polarization directions have a difference of 45 degrees. The near-field coupling property regularities of radio antennas with the typical property frequency and pitch variation are summed up, and some simulation experiment is carried out.","PeriodicalId":224387,"journal":{"name":"2016 IEEE International Conference on Electronic Information and Communication Technology (ICEICT)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133814099","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 : 2016-08-01DOI: 10.1109/ICEICT.2016.7879758
Z. Dou, Xiaokang Zhong, Wenxu Zhang, Jianbo Hu
With the increasingly complex electromagnetic and transmission environment, in order to reduce the volume of the platform and the mutual interference of the communication radar signals, the demand of the integrated platform is more and more strong. Based on the integrated method of radar communication, three kinds of ways of integration are summarized, and the existing design scheme is introduced in the paper. And then analysis of the program found output frequency instability problems by using direct digital frequency synthesis technology. Therefore, we propose the integration system optimization design based on FPGA and DSP to control DDS. The stability of output frequency is improved by the feedback of the system, and the stability of the output frequency is increased. The simulation results show that the proposed scheme has a better stabilizing effect on the output frequency.
{"title":"Optimization design of communication-radar integrated waveform generation system","authors":"Z. Dou, Xiaokang Zhong, Wenxu Zhang, Jianbo Hu","doi":"10.1109/ICEICT.2016.7879758","DOIUrl":"https://doi.org/10.1109/ICEICT.2016.7879758","url":null,"abstract":"With the increasingly complex electromagnetic and transmission environment, in order to reduce the volume of the platform and the mutual interference of the communication radar signals, the demand of the integrated platform is more and more strong. Based on the integrated method of radar communication, three kinds of ways of integration are summarized, and the existing design scheme is introduced in the paper. And then analysis of the program found output frequency instability problems by using direct digital frequency synthesis technology. Therefore, we propose the integration system optimization design based on FPGA and DSP to control DDS. The stability of output frequency is improved by the feedback of the system, and the stability of the output frequency is increased. The simulation results show that the proposed scheme has a better stabilizing effect on the output frequency.","PeriodicalId":224387,"journal":{"name":"2016 IEEE International Conference on Electronic Information and Communication Technology (ICEICT)","volume":"362 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115943326","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 : 2016-08-01DOI: 10.1109/ICEICT.2016.7879702
Xuemei Wang, Z. Deng
For the multisensor systems with uncertain-variance linearly correlated white noises, according to the minimax robust estimation principle, applying the weighted least squares(WLS) and the full-rank decomposition of matrix, the robust centralized fusion and weighted measurement fusion steady-state Kalman estimators (filter, predictor and smoother) are presented in a unified framework. Their equivalence and accuracy relations are proved. Applying the Lyapunov equation approach, their robustness is proved in the sense that their actual estimation error variances are guaranteed to have a minimal upper bound for all admissible uncertain noise variances. A simulation example to tracking system verifies their correctness and effectiveness.
{"title":"Robust centralized and weighted measurement fusion steady-state Kalman estimators with uncertain linearly correlated white noises","authors":"Xuemei Wang, Z. Deng","doi":"10.1109/ICEICT.2016.7879702","DOIUrl":"https://doi.org/10.1109/ICEICT.2016.7879702","url":null,"abstract":"For the multisensor systems with uncertain-variance linearly correlated white noises, according to the minimax robust estimation principle, applying the weighted least squares(WLS) and the full-rank decomposition of matrix, the robust centralized fusion and weighted measurement fusion steady-state Kalman estimators (filter, predictor and smoother) are presented in a unified framework. Their equivalence and accuracy relations are proved. Applying the Lyapunov equation approach, their robustness is proved in the sense that their actual estimation error variances are guaranteed to have a minimal upper bound for all admissible uncertain noise variances. A simulation example to tracking system verifies their correctness and effectiveness.","PeriodicalId":224387,"journal":{"name":"2016 IEEE International Conference on Electronic Information and Communication Technology (ICEICT)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116683415","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 : 2016-08-01DOI: 10.1109/ICEICT.2016.7879769
J. Fu, Meng Chang, Peng Li, Weidong Kong
In this paper, we proposed a composite structure spiral antenna whose working band covers the entire Ku band. The design of the antenna is the composite of equiangular spiral and Archimedes spiral: The internal of antenna element is with equiangular spiral, and the external of is with Archimedes spiral. So the size of antenna plane is reduced effectively. Furthermore, in order to suppress the back forward radiation of the antenna and to achieve the balanced feed, we designed the improved reflector cavity structure and exponential gradient Balun. Simulation results show that the far-field gain of the antenna is higher than 5dB, and the VSWR is less than 2.5dB in the Ku band.
{"title":"Design of composite spiral antenna loaded with a new type reflector in Ku-band","authors":"J. Fu, Meng Chang, Peng Li, Weidong Kong","doi":"10.1109/ICEICT.2016.7879769","DOIUrl":"https://doi.org/10.1109/ICEICT.2016.7879769","url":null,"abstract":"In this paper, we proposed a composite structure spiral antenna whose working band covers the entire Ku band. The design of the antenna is the composite of equiangular spiral and Archimedes spiral: The internal of antenna element is with equiangular spiral, and the external of is with Archimedes spiral. So the size of antenna plane is reduced effectively. Furthermore, in order to suppress the back forward radiation of the antenna and to achieve the balanced feed, we designed the improved reflector cavity structure and exponential gradient Balun. Simulation results show that the far-field gain of the antenna is higher than 5dB, and the VSWR is less than 2.5dB in the Ku band.","PeriodicalId":224387,"journal":{"name":"2016 IEEE International Conference on Electronic Information and Communication Technology (ICEICT)","volume":"3 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116746078","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 : 2016-08-01DOI: 10.1109/ICEICT.2016.7879764
Zhang He, Z. Hua, L. Hongmei, Liu Beijia, Wu Qun
The paper introduced the basic theories of intelligent algorithms, equally spaced linear antenna array and antenna pattern synthesis principle, also introduced the related omni-directional antenna. The procedure, parameter settings, characteristics of genetic algorithm and the neural network algorithms were demonstrated that used in the pattern synthesis, then the simulation programs were given. In the experimental stage, three groups of three different DOA of interference signal were applied to the antenna array model, respectively. The genetic algorithm and neural network algorithm were applied to the array pattern that simulated, then the simulation results were statisticed to compare their accuracy and robustness. At the same time, the linear antenna array model was established by the FEKO simulation software, whose antenna element is omni-directional COCO antenna whose center frequency is 1.8GHz. The weight coefficient produced by genetic algorithm and neural network algorithm were applied to the excitation voltage of every array elements, whose amplitude and phase is controlled by the weight coefficient. Then the results were analyzed which came from the two intelligent algorithms with different interference signals.
{"title":"Array antenna pattern synthesis method based on intelligent algorithm","authors":"Zhang He, Z. Hua, L. Hongmei, Liu Beijia, Wu Qun","doi":"10.1109/ICEICT.2016.7879764","DOIUrl":"https://doi.org/10.1109/ICEICT.2016.7879764","url":null,"abstract":"The paper introduced the basic theories of intelligent algorithms, equally spaced linear antenna array and antenna pattern synthesis principle, also introduced the related omni-directional antenna. The procedure, parameter settings, characteristics of genetic algorithm and the neural network algorithms were demonstrated that used in the pattern synthesis, then the simulation programs were given. In the experimental stage, three groups of three different DOA of interference signal were applied to the antenna array model, respectively. The genetic algorithm and neural network algorithm were applied to the array pattern that simulated, then the simulation results were statisticed to compare their accuracy and robustness. At the same time, the linear antenna array model was established by the FEKO simulation software, whose antenna element is omni-directional COCO antenna whose center frequency is 1.8GHz. The weight coefficient produced by genetic algorithm and neural network algorithm were applied to the excitation voltage of every array elements, whose amplitude and phase is controlled by the weight coefficient. Then the results were analyzed which came from the two intelligent algorithms with different interference signals.","PeriodicalId":224387,"journal":{"name":"2016 IEEE International Conference on Electronic Information and Communication Technology (ICEICT)","volume":"68 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114529319","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 : 2016-08-01DOI: 10.1109/ICEICT.2016.7879722
Yuan Cheng, Ronghua Chi, Suxia Zhu
Uncertain data may exist in many application fields, due to the inaccurate raw data, the use of coarse-grained data set, for the purposes of privacy protection, and the data integration etc. The original features of the data may be changed or ignored if the uncertainties were mishandled. Therefore the effective management and analysis of uncertain objects should rely on an appropriate uncertain data model depicting the characteristic of uncertainties. For the uncertainties in the values of data attributes, this paper proposed an uncertain data model construction method based on nonparametric estimation, which can represent the uncertainty distribution characteristic efficiently without assuming the data distribution. And the effectiveness of the proposed algorithm was verified through the experiments on UCI and real data sets.
{"title":"An uncertain data model construction method based on nonparametric estimation","authors":"Yuan Cheng, Ronghua Chi, Suxia Zhu","doi":"10.1109/ICEICT.2016.7879722","DOIUrl":"https://doi.org/10.1109/ICEICT.2016.7879722","url":null,"abstract":"Uncertain data may exist in many application fields, due to the inaccurate raw data, the use of coarse-grained data set, for the purposes of privacy protection, and the data integration etc. The original features of the data may be changed or ignored if the uncertainties were mishandled. Therefore the effective management and analysis of uncertain objects should rely on an appropriate uncertain data model depicting the characteristic of uncertainties. For the uncertainties in the values of data attributes, this paper proposed an uncertain data model construction method based on nonparametric estimation, which can represent the uncertainty distribution characteristic efficiently without assuming the data distribution. And the effectiveness of the proposed algorithm was verified through the experiments on UCI and real data sets.","PeriodicalId":224387,"journal":{"name":"2016 IEEE International Conference on Electronic Information and Communication Technology (ICEICT)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127635035","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 : 2016-08-01DOI: 10.1109/ICEICT.2016.7879749
Hua Jianjiang, Yang Zhibang
As the strong Radio Frequency (RF) signal is harmful for the signal receiving device, it is very important to cancel the strong RF signal before it is received by the device. According to the principle that any signal can be composed by two orthorhombic signals, this paper proposes a strong RF signal cancellation algorithm based on the Least Mean Square (LMS) adaptive filtering algorithm. The proposed algorithm works on the analog circuit, it could cancel the strong RF signal at the radio front end. The simulation results show that the proposed algorithm can cancel the strong RF signal effectively. Moreover, the proposed algorithm has no strict requirement on the circuit design and is easy to be realized.
{"title":"The strong RF signal cancellation based on LMS adaptive filtering algorithm","authors":"Hua Jianjiang, Yang Zhibang","doi":"10.1109/ICEICT.2016.7879749","DOIUrl":"https://doi.org/10.1109/ICEICT.2016.7879749","url":null,"abstract":"As the strong Radio Frequency (RF) signal is harmful for the signal receiving device, it is very important to cancel the strong RF signal before it is received by the device. According to the principle that any signal can be composed by two orthorhombic signals, this paper proposes a strong RF signal cancellation algorithm based on the Least Mean Square (LMS) adaptive filtering algorithm. The proposed algorithm works on the analog circuit, it could cancel the strong RF signal at the radio front end. The simulation results show that the proposed algorithm can cancel the strong RF signal effectively. Moreover, the proposed algorithm has no strict requirement on the circuit design and is easy to be realized.","PeriodicalId":224387,"journal":{"name":"2016 IEEE International Conference on Electronic Information and Communication Technology (ICEICT)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125180424","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 : 2016-08-01DOI: 10.1109/ICEICT.2016.7879672
L. Tong, Zhu Xiujing, Zhang Linbo
Due to the low speed of sound in water, underwater acoustic networks (UWANs) have large propagation delays as compared to terrestrial networks. In this paper, we propose the strategies on TDMA slot allocation in underwater acoustic networks that utilize diversity of node position and large propagation delays of the underwater channel to facilitate concurrent transmission and achieve the maximum possible throughput. First, we propose non-slotted TDMA strategy in underwater acoustic networks. Specifically, we specify the constraints that the strategies need to satisfy to avoid conflicts and model these constrains into a set of difference equations. Second, we use the Bellman-Ford algorithm to solve difference equations and get transmission schedule. Finally, we study the throughput of ring networks using the non-slotted TDMA strategy.
{"title":"Strategies on TDMA slot allocation in underwater acoustic networks","authors":"L. Tong, Zhu Xiujing, Zhang Linbo","doi":"10.1109/ICEICT.2016.7879672","DOIUrl":"https://doi.org/10.1109/ICEICT.2016.7879672","url":null,"abstract":"Due to the low speed of sound in water, underwater acoustic networks (UWANs) have large propagation delays as compared to terrestrial networks. In this paper, we propose the strategies on TDMA slot allocation in underwater acoustic networks that utilize diversity of node position and large propagation delays of the underwater channel to facilitate concurrent transmission and achieve the maximum possible throughput. First, we propose non-slotted TDMA strategy in underwater acoustic networks. Specifically, we specify the constraints that the strategies need to satisfy to avoid conflicts and model these constrains into a set of difference equations. Second, we use the Bellman-Ford algorithm to solve difference equations and get transmission schedule. Finally, we study the throughput of ring networks using the non-slotted TDMA strategy.","PeriodicalId":224387,"journal":{"name":"2016 IEEE International Conference on Electronic Information and Communication Technology (ICEICT)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131177884","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 : 2016-08-01DOI: 10.1109/ICEICT.2016.7879688
Xiaolei Zhu, Yun Lin, Z. Dou
In order to solve the problem of low modulation recognition rate of digital communication signals and the difficulty of selecting the appropriate decision threshold, the paper features a recognition method for communication signal modulation. The paper constructs characteristic parameters for recognizing signals in the cyclic frequency domain, and uses a 3-layer neural network as a classifier to identify the modulation mode. The experiment indicates that it can recognize 2FSK, 4FSK, 8FSK, BPSK, QPSK, MSK and 2ASK When signal to noise ratio (SNR) is higher than 0 dB, the recognition rate achieves 95%. The results suggest that recognition of communication signal modulation based on neural network is accurate and feasible.
{"title":"Automatic recognition of communication signal modulation based on neural network","authors":"Xiaolei Zhu, Yun Lin, Z. Dou","doi":"10.1109/ICEICT.2016.7879688","DOIUrl":"https://doi.org/10.1109/ICEICT.2016.7879688","url":null,"abstract":"In order to solve the problem of low modulation recognition rate of digital communication signals and the difficulty of selecting the appropriate decision threshold, the paper features a recognition method for communication signal modulation. The paper constructs characteristic parameters for recognizing signals in the cyclic frequency domain, and uses a 3-layer neural network as a classifier to identify the modulation mode. The experiment indicates that it can recognize 2FSK, 4FSK, 8FSK, BPSK, QPSK, MSK and 2ASK When signal to noise ratio (SNR) is higher than 0 dB, the recognition rate achieves 95%. The results suggest that recognition of communication signal modulation based on neural network is accurate and feasible.","PeriodicalId":224387,"journal":{"name":"2016 IEEE International Conference on Electronic Information and Communication Technology (ICEICT)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132844265","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 : 2016-08-01DOI: 10.1109/ICEICT.2016.7879724
Xuhong Yin, Yun Lin, Z. Dou
In this paper, we base the grey relational analysis and interval number as a method for recognizing the digital signal modulation. Firstly, the wavelet energy spectrum entropy, power spectrum entropy and bispectral entropy are selected as the characteristic of the signal modulation type. Then, considering the situation of the received signal is not stable, this paper combined the idea of interval number with the sequences of the grey relational analysis. Finally, this paper analyzed the recognition results of the classical grey relational analysis and grey relational analysis based on the interval number theory. The simulation experiment indicates that the grey relational analysis can be applied to the communication signal modulation recognition.
{"title":"The method research of signal recognition based on information entropy and grey relational analysis","authors":"Xuhong Yin, Yun Lin, Z. Dou","doi":"10.1109/ICEICT.2016.7879724","DOIUrl":"https://doi.org/10.1109/ICEICT.2016.7879724","url":null,"abstract":"In this paper, we base the grey relational analysis and interval number as a method for recognizing the digital signal modulation. Firstly, the wavelet energy spectrum entropy, power spectrum entropy and bispectral entropy are selected as the characteristic of the signal modulation type. Then, considering the situation of the received signal is not stable, this paper combined the idea of interval number with the sequences of the grey relational analysis. Finally, this paper analyzed the recognition results of the classical grey relational analysis and grey relational analysis based on the interval number theory. The simulation experiment indicates that the grey relational analysis can be applied to the communication signal modulation recognition.","PeriodicalId":224387,"journal":{"name":"2016 IEEE International Conference on Electronic Information and Communication Technology (ICEICT)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134390615","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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