Pub Date : 2017-09-29DOI: 10.1109/IAEAC.2017.8054437
Xiao Luo, Huatao Zhao, H. Ogai, Chen Zhu
In modern traffic systems, accurate video detection is a key challenge for traffic management. Aiming at the problem of public bus detection, this paper proposes a video detection method to well recognize the buses. Firstly, we employ the foreground detection method to find the moving vehicles. And then a training classifier which consists of the improved Adaboost algorithm and Haar-like features is proposed to filter undesired vehicles. Secondly, we use the Canny operator to locate bus characteristics, and further detect the bus with the modified HSV model. This design is tested on the Visual Stadio and OpenCV platform in which load the urban transport data as the samples. The test results show that our detection method has better robustness than both three-frame differential method and hybrid Gaussian method, and the accuracy of detection on the window positioning is more than 93 percent.
{"title":"A novel video detection design based on modified adaboost algorithm and HSV model","authors":"Xiao Luo, Huatao Zhao, H. Ogai, Chen Zhu","doi":"10.1109/IAEAC.2017.8054437","DOIUrl":"https://doi.org/10.1109/IAEAC.2017.8054437","url":null,"abstract":"In modern traffic systems, accurate video detection is a key challenge for traffic management. Aiming at the problem of public bus detection, this paper proposes a video detection method to well recognize the buses. Firstly, we employ the foreground detection method to find the moving vehicles. And then a training classifier which consists of the improved Adaboost algorithm and Haar-like features is proposed to filter undesired vehicles. Secondly, we use the Canny operator to locate bus characteristics, and further detect the bus with the modified HSV model. This design is tested on the Visual Stadio and OpenCV platform in which load the urban transport data as the samples. The test results show that our detection method has better robustness than both three-frame differential method and hybrid Gaussian method, and the accuracy of detection on the window positioning is more than 93 percent.","PeriodicalId":432109,"journal":{"name":"2017 IEEE 2nd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115765960","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 : 2017-03-25DOI: 10.1109/IAEAC.2017.8053966
T. Hoang, Xiaohong Wang, Xiaozhuang Zhou, Lianfang Tian, WeiChang Chen
With the ever-increasing requirements in industrial manufacturing as well as in the daily life activities of modern society, the control systems equipped with two or more parallel PWM rectifiers rather than solely with a PWM rectifier are widely used to meet the system demands of higher productivity, reliability and safety. Although the control result of the system using conventional PI controller in PWM rectifier is relatively ideal, the design parameters are the relative ones and they are sensitive to the changes of system parameters when conducting more than one PWM rectifier in parallel. For instance, higher overshoot of output voltage and difficulty in the choice of controller parameters. The Fractional Proportional Integral controller rather than the conventional PI controller is proposed in this paper to overcome the drawbacks above. The ideal control results and obviously improved control quality are illustrated by both simulations and experiments of Fractional Proportional Integral controller applied in two parallel PWM rectifiers.
{"title":"Fractional proportional integral controller applied into two parallel 3-phase PWM rectifiers","authors":"T. Hoang, Xiaohong Wang, Xiaozhuang Zhou, Lianfang Tian, WeiChang Chen","doi":"10.1109/IAEAC.2017.8053966","DOIUrl":"https://doi.org/10.1109/IAEAC.2017.8053966","url":null,"abstract":"With the ever-increasing requirements in industrial manufacturing as well as in the daily life activities of modern society, the control systems equipped with two or more parallel PWM rectifiers rather than solely with a PWM rectifier are widely used to meet the system demands of higher productivity, reliability and safety. Although the control result of the system using conventional PI controller in PWM rectifier is relatively ideal, the design parameters are the relative ones and they are sensitive to the changes of system parameters when conducting more than one PWM rectifier in parallel. For instance, higher overshoot of output voltage and difficulty in the choice of controller parameters. The Fractional Proportional Integral controller rather than the conventional PI controller is proposed in this paper to overcome the drawbacks above. The ideal control results and obviously improved control quality are illustrated by both simulations and experiments of Fractional Proportional Integral controller applied in two parallel PWM rectifiers.","PeriodicalId":432109,"journal":{"name":"2017 IEEE 2nd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128547887","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 : 2017-03-25DOI: 10.1109/IAEAC.2017.8053979
Wen He
With the rapid development of mobile Internet and locating technology, location-based services (LBS) are widely used in mobile social networks, while the user obtained the LBS services, their location information is also provided to the service provider, this information may be obtained by the attacker and the user's other personal privacy may be inferred, threatening to the user's personal information security. Based on the location privacy protection of LBS services, this paper analyzes the method and model of user's location privacy protection, and introduces some location privacy protection technologies and trajectory privacy protection technologies in LBS.
{"title":"Research on LBS privacy protection technology in mobile social networks","authors":"Wen He","doi":"10.1109/IAEAC.2017.8053979","DOIUrl":"https://doi.org/10.1109/IAEAC.2017.8053979","url":null,"abstract":"With the rapid development of mobile Internet and locating technology, location-based services (LBS) are widely used in mobile social networks, while the user obtained the LBS services, their location information is also provided to the service provider, this information may be obtained by the attacker and the user's other personal privacy may be inferred, threatening to the user's personal information security. Based on the location privacy protection of LBS services, this paper analyzes the method and model of user's location privacy protection, and introduces some location privacy protection technologies and trajectory privacy protection technologies in LBS.","PeriodicalId":432109,"journal":{"name":"2017 IEEE 2nd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123452000","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 : 2017-03-25DOI: 10.1109/IAEAC.2017.8054088
Ning Zhou, Menghan Wu, Jianxin Zhou
In recent years, volunteer service in China has made an unprecedented development, but the credibility and traceability of volunteer service time management are confronted with serious challenges. Since traditional time record systems cannot protect the related data security of the volunteers. In this paper, we study the volunteer time record system based on the blockchain technology which is the core technology of bitcoin, unlike bitcoin transaction in our system are not strictly financial — they are used to carry instructions, such as storing, querying, and sharing data. Volunteer service time and activity information recorded by sending the chain transaction. Effective time recognition is guaranteed by smart contract. It can ensure that the volunteer's time is independent of improper human interference, and the fairness of volunteer service, realizes the traceability and transparency of the entire time record process. Then we describe a specific case and use the system we proposed storing the volunteer service time, volunteers' service time can be certified effectively.
{"title":"Volunteer service time record system based on blockchain technology","authors":"Ning Zhou, Menghan Wu, Jianxin Zhou","doi":"10.1109/IAEAC.2017.8054088","DOIUrl":"https://doi.org/10.1109/IAEAC.2017.8054088","url":null,"abstract":"In recent years, volunteer service in China has made an unprecedented development, but the credibility and traceability of volunteer service time management are confronted with serious challenges. Since traditional time record systems cannot protect the related data security of the volunteers. In this paper, we study the volunteer time record system based on the blockchain technology which is the core technology of bitcoin, unlike bitcoin transaction in our system are not strictly financial — they are used to carry instructions, such as storing, querying, and sharing data. Volunteer service time and activity information recorded by sending the chain transaction. Effective time recognition is guaranteed by smart contract. It can ensure that the volunteer's time is independent of improper human interference, and the fairness of volunteer service, realizes the traceability and transparency of the entire time record process. Then we describe a specific case and use the system we proposed storing the volunteer service time, volunteers' service time can be certified effectively.","PeriodicalId":432109,"journal":{"name":"2017 IEEE 2nd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131882351","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 : 2017-03-25DOI: 10.1109/IAEAC.2017.8054481
Liyang Guo, Maodong Wang, Xiaojie Zhang, Xinghua Wang
A 10bit 40MS/s asynchronous timing logic successive approximation analog-to-digital converter (SAR ADC) is presented, including a bootstrapped switch, a charge redistribution digital-to-analog converter(DAC) and a dynamic comparator. A redundancy compensation and a mismatch calibration are introduced to achieve conversion accuracy improvement. A monotonic capacitor switching technique is adopted to reduce the power consumption during conversion. The design of ADC was based on SMIC 0.18μm CMOS process and consumes 5.4mA at 1.8 V power supply. The SAR ADC exhibits an SNR and SFDR of 60.27dB and 65.58dB, respectively.
{"title":"A 10bit 40MS/s SAR ADC in 0.18μm CMOS with redundancy compensation","authors":"Liyang Guo, Maodong Wang, Xiaojie Zhang, Xinghua Wang","doi":"10.1109/IAEAC.2017.8054481","DOIUrl":"https://doi.org/10.1109/IAEAC.2017.8054481","url":null,"abstract":"A 10bit 40MS/s asynchronous timing logic successive approximation analog-to-digital converter (SAR ADC) is presented, including a bootstrapped switch, a charge redistribution digital-to-analog converter(DAC) and a dynamic comparator. A redundancy compensation and a mismatch calibration are introduced to achieve conversion accuracy improvement. A monotonic capacitor switching technique is adopted to reduce the power consumption during conversion. The design of ADC was based on SMIC 0.18μm CMOS process and consumes 5.4mA at 1.8 V power supply. The SAR ADC exhibits an SNR and SFDR of 60.27dB and 65.58dB, respectively.","PeriodicalId":432109,"journal":{"name":"2017 IEEE 2nd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)","volume":"110 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115638038","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}
Face recognition is a hot research field in computer vision, and it has a high practical value for the detection and recognition of specific sensitive characters. Research found that in traditional hand-crafted features, there are uncontrolled environments such as pose, facial expression, illumination and occlusion influencing the accuracy of recognition and it has poor performance, so the deep learning method is adopted. On the basis of face detection, a Convolutional Neural Network (CNN) based on TensorFlow, an open source deep learning framework, is proposed for face recognition. Experimental results show that the proposed method has better recognition accuracy and higher robustness in complex environment.
{"title":"A convolutional neural network based on TensorFlow for face recognition","authors":"Liping Yuan, Zhiyi Qu, Yufeng Zhao, Hongshuai Zhang, Qing Nian","doi":"10.1109/IAEAC.2017.8054070","DOIUrl":"https://doi.org/10.1109/IAEAC.2017.8054070","url":null,"abstract":"Face recognition is a hot research field in computer vision, and it has a high practical value for the detection and recognition of specific sensitive characters. Research found that in traditional hand-crafted features, there are uncontrolled environments such as pose, facial expression, illumination and occlusion influencing the accuracy of recognition and it has poor performance, so the deep learning method is adopted. On the basis of face detection, a Convolutional Neural Network (CNN) based on TensorFlow, an open source deep learning framework, is proposed for face recognition. Experimental results show that the proposed method has better recognition accuracy and higher robustness in complex environment.","PeriodicalId":432109,"journal":{"name":"2017 IEEE 2nd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116074683","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 : 2017-03-25DOI: 10.1109/IAEAC.2017.8054480
Xiaojie Zhang, Maodong Wang, Liyang Guo, Xinghua Wang
Aiming at the application of neural signal detection system, this paper designs a 12-bit 200KS/s high resolution successive approximation analog-to-digital converter (SAR ADC) fabricated in SMIC 0.18-μm process. An optimized digital self-calibration technique is proposed to correct the static offset of the comparator and the mismatch of the capacitor array by using a correction capacitor array, achieving 1-bit improvement of ENOB. Simulation results show that, when the input signal is 46K, the ADC fulfills an SNDR of 71.55dB and an SFDR of 91.82dB with a 200KS/s sampling rate, while the ADC only can achieve an SNDR of 65.85dB and an SFDR of 78.83dB before calibration. With the ENOB of 11.59 bit, the self-calibration SAR ADC consumes 336μW at 1.8 V power supply.
{"title":"A 12-bit 200KS/s SAR ADC with digital self-calibration","authors":"Xiaojie Zhang, Maodong Wang, Liyang Guo, Xinghua Wang","doi":"10.1109/IAEAC.2017.8054480","DOIUrl":"https://doi.org/10.1109/IAEAC.2017.8054480","url":null,"abstract":"Aiming at the application of neural signal detection system, this paper designs a 12-bit 200KS/s high resolution successive approximation analog-to-digital converter (SAR ADC) fabricated in SMIC 0.18-μm process. An optimized digital self-calibration technique is proposed to correct the static offset of the comparator and the mismatch of the capacitor array by using a correction capacitor array, achieving 1-bit improvement of ENOB. Simulation results show that, when the input signal is 46K, the ADC fulfills an SNDR of 71.55dB and an SFDR of 91.82dB with a 200KS/s sampling rate, while the ADC only can achieve an SNDR of 65.85dB and an SFDR of 78.83dB before calibration. With the ENOB of 11.59 bit, the self-calibration SAR ADC consumes 336μW at 1.8 V power supply.","PeriodicalId":432109,"journal":{"name":"2017 IEEE 2nd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126793986","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 : 2017-03-25DOI: 10.1109/IAEAC.2017.8053965
Xiaodong Yang, Daisuke Ogawa, Na Dai
The paper has achieved a more efficient narrow-band filter for multi-notch ultra-wideband antenna in the case of international spectrum resource constraints. The paper is improving to the original design multi-notch ultra-wideband antenna. The way of coplanar-waveguide (CPW) coupled-fed have achieved band widening. The antenna has a large bandwidth covering the frequency band from 2.4GHz∼15.1GHz with return loss larger than 10dB. There is the improved elliptical CSRR (complementary split-ring resonator) structure on the radiation patch of a wine glass shaped ultra-wideband antenna, which have achieved notch features ultra-wideband antenna. The new antenna has finished band rejection in WLAN uplink and downlink frequency bands, and exhibited excellent filtering characteristic. Multi-notch is implemented in 5.06GHz to 5.46GHZ, 5.72GHz ∼ 6.22GHZ. at the same time avoiding interference the part of the C-band satellite communications downlink frequency band in 5.9GHz ∼ 6.425 GHz. The design of multi-notch ultra-wideband antenna has a good omni-directional radiation in their workspace.
{"title":"Design of notch ultra-wideband antenna with new oval CRSS structure","authors":"Xiaodong Yang, Daisuke Ogawa, Na Dai","doi":"10.1109/IAEAC.2017.8053965","DOIUrl":"https://doi.org/10.1109/IAEAC.2017.8053965","url":null,"abstract":"The paper has achieved a more efficient narrow-band filter for multi-notch ultra-wideband antenna in the case of international spectrum resource constraints. The paper is improving to the original design multi-notch ultra-wideband antenna. The way of coplanar-waveguide (CPW) coupled-fed have achieved band widening. The antenna has a large bandwidth covering the frequency band from 2.4GHz∼15.1GHz with return loss larger than 10dB. There is the improved elliptical CSRR (complementary split-ring resonator) structure on the radiation patch of a wine glass shaped ultra-wideband antenna, which have achieved notch features ultra-wideband antenna. The new antenna has finished band rejection in WLAN uplink and downlink frequency bands, and exhibited excellent filtering characteristic. Multi-notch is implemented in 5.06GHz to 5.46GHZ, 5.72GHz ∼ 6.22GHZ. at the same time avoiding interference the part of the C-band satellite communications downlink frequency band in 5.9GHz ∼ 6.425 GHz. The design of multi-notch ultra-wideband antenna has a good omni-directional radiation in their workspace.","PeriodicalId":432109,"journal":{"name":"2017 IEEE 2nd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116879700","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 : 2017-03-25DOI: 10.1109/IAEAC.2017.8054369
Qinlu Zhao, Xiaodong Cai, Chaocun Chen, Lu Lv, Mingyao Chen
It is difficult to fully represent text information with shallow network, and it is time-consuming for using deep neural network. This paper proposes a CNN-Attention network based on Convolutional Neural Network with Attention (CNNA) mechanism. First of all, information between words for context can be expressed by using different sizes of convolution kernels. Secondly, an attention layer is added to convolution network to obtain semantic codes which include the attention probability distribution of input text sequences. Furthermore, weights of text representing information are calculated. Finally, the softmax is used to classify emotional sentences. Experimental results show that features of different context information can be extracted by the method proposed, the depth of the network is reduced and the accuracy effectively is improved at the same time. It also shows improved accuracy in COAE2014 task 4 micro-blog data set for emotional classification up to 95.15%.
浅层神经网络难以完全表示文本信息，深层神经网络耗时长。本文提出了一种基于Convolutional Neural network with Attention (CNNA)机制的CNN-Attention网络。首先，单词之间的上下文信息可以通过使用不同大小的卷积核来表示。其次，在卷积网络中加入注意层，得到包含输入文本序列注意概率分布的语义码;此外，还计算了表示信息的文本的权重。最后，利用softmax对情感句进行分类。实验结果表明，该方法可以有效地提取不同上下文信息的特征，减少了网络的深度，同时有效地提高了准确率。在COAE2014任务4微博数据集上进行情绪分类准确率达到95.15%。
{"title":"Commented content classification with deep neural network based on attention mechanism","authors":"Qinlu Zhao, Xiaodong Cai, Chaocun Chen, Lu Lv, Mingyao Chen","doi":"10.1109/IAEAC.2017.8054369","DOIUrl":"https://doi.org/10.1109/IAEAC.2017.8054369","url":null,"abstract":"It is difficult to fully represent text information with shallow network, and it is time-consuming for using deep neural network. This paper proposes a CNN-Attention network based on Convolutional Neural Network with Attention (CNNA) mechanism. First of all, information between words for context can be expressed by using different sizes of convolution kernels. Secondly, an attention layer is added to convolution network to obtain semantic codes which include the attention probability distribution of input text sequences. Furthermore, weights of text representing information are calculated. Finally, the softmax is used to classify emotional sentences. Experimental results show that features of different context information can be extracted by the method proposed, the depth of the network is reduced and the accuracy effectively is improved at the same time. It also shows improved accuracy in COAE2014 task 4 micro-blog data set for emotional classification up to 95.15%.","PeriodicalId":432109,"journal":{"name":"2017 IEEE 2nd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115584791","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 : 2017-03-25DOI: 10.1109/IAEAC.2017.8053967
Xiao Yang, K. Zhang, Ting Wang, Yongjun Zhao
With the increasing amount of car equipped with collision avoidance radar, the mutual interference is becoming a problem when the cars run in the roads. The mutual interference cancellation techniques are getting more and more important to preserve the reliability of the automotive radar. Considering conventional radar with frequency agile, this paper proposes a new signal design method for automotive radar that uses combination from a fixed number of constant frequency and triangular frequency modulation waveform, and the constant frequency and triangle wave slope random change. This way can most suppress mutual interference between automotive radar. This paper analyzes the waveform random combination method and the principle of waveform design. The results demonstrate that this method can not only realize the function of the vehicle collision avoidance radar multi-target detection, and also can effectively reduce the false alarm rate resulting from mutual interference.
{"title":"Anti-interference waveform design for automotive radar","authors":"Xiao Yang, K. Zhang, Ting Wang, Yongjun Zhao","doi":"10.1109/IAEAC.2017.8053967","DOIUrl":"https://doi.org/10.1109/IAEAC.2017.8053967","url":null,"abstract":"With the increasing amount of car equipped with collision avoidance radar, the mutual interference is becoming a problem when the cars run in the roads. The mutual interference cancellation techniques are getting more and more important to preserve the reliability of the automotive radar. Considering conventional radar with frequency agile, this paper proposes a new signal design method for automotive radar that uses combination from a fixed number of constant frequency and triangular frequency modulation waveform, and the constant frequency and triangle wave slope random change. This way can most suppress mutual interference between automotive radar. This paper analyzes the waveform random combination method and the principle of waveform design. The results demonstrate that this method can not only realize the function of the vehicle collision avoidance radar multi-target detection, and also can effectively reduce the false alarm rate resulting from mutual interference.","PeriodicalId":432109,"journal":{"name":"2017 IEEE 2nd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125374022","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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