Pub Date : 2018-12-01DOI: 10.1109/ICSPCS.2018.8631762
Julian D'Orsaneo, M. Tummala, J. McEachen, Bryan Martin
Software-defined networking (SDN) has the potential to revolutionize the management capabilities of a highly distributed communications environment. Yet, adoption of SDN is contingent on a thorough analysis of security implications. In this paper, we investigate a man-in-the-middle (MITM) attack that exploits the centralized topological view critical to SDN operations. In particular, we present a new scheme for detection and classification of the attack at the network layer. We apply wavelet analysis to detect anomalous conditions introduced by the MITM attack using traffic signals collected at network switch ports. We then identify unique characteristics of reported anomalies in the collected traffic signals to build a classification framework. Other cyber events, such as a distributed denial-of-service and network congestion, are presented to the detection scheme to validate its general applicability. Overall, we successfully demonstrate the capability to detect and classify the MITM attack in addition to other cyber events at the network layer, thereby contributing to the security of SDN.
{"title":"Analysis of Traffic Signals on an SDN for Detection and Classification of a Man-in-the-Middle Attack","authors":"Julian D'Orsaneo, M. Tummala, J. McEachen, Bryan Martin","doi":"10.1109/ICSPCS.2018.8631762","DOIUrl":"https://doi.org/10.1109/ICSPCS.2018.8631762","url":null,"abstract":"Software-defined networking (SDN) has the potential to revolutionize the management capabilities of a highly distributed communications environment. Yet, adoption of SDN is contingent on a thorough analysis of security implications. In this paper, we investigate a man-in-the-middle (MITM) attack that exploits the centralized topological view critical to SDN operations. In particular, we present a new scheme for detection and classification of the attack at the network layer. We apply wavelet analysis to detect anomalous conditions introduced by the MITM attack using traffic signals collected at network switch ports. We then identify unique characteristics of reported anomalies in the collected traffic signals to build a classification framework. Other cyber events, such as a distributed denial-of-service and network congestion, are presented to the detection scheme to validate its general applicability. Overall, we successfully demonstrate the capability to detect and classify the MITM attack in addition to other cyber events at the network layer, thereby contributing to the security of SDN.","PeriodicalId":179948,"journal":{"name":"2018 12th International Conference on Signal Processing and Communication Systems (ICSPCS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134076926","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 : 2018-12-01DOI: 10.1109/ICSPCS.2018.8631737
Qasim Al-shebani, P. Premaratne, P. Vial, D. McAndrew, Brendan Halloran
Testing using the co-simulation method of an algorithm is important to visualize the hardware performance of the algorithm. This study aims to introduce a method for comparing the hardware performance of two different algorithms with a focus on the existing compression system for capsule endoscopy as a case study. The size limitation of capsule endoscopy which constrains the power source and the complexity of the hardware utilization are the main reasons for selecting the capsule endoscopy compression system for this case study. Undertaking a comparison between different algorithms from the existing image compression algorithms in capsule endoscopy can highlight the main testing steps of the co-simulation testing method. To allow a fair comparison, the hardware co-simulation is implemented using the same FPGA device for the methods compared in this study and the results acquired are discussed.
{"title":"Co-Simulation Method for Hardware/Software Evaluation Using Xilinx System Generator: A Case Study on Image Compression Algorithms for Capsule Endoscopy","authors":"Qasim Al-shebani, P. Premaratne, P. Vial, D. McAndrew, Brendan Halloran","doi":"10.1109/ICSPCS.2018.8631737","DOIUrl":"https://doi.org/10.1109/ICSPCS.2018.8631737","url":null,"abstract":"Testing using the co-simulation method of an algorithm is important to visualize the hardware performance of the algorithm. This study aims to introduce a method for comparing the hardware performance of two different algorithms with a focus on the existing compression system for capsule endoscopy as a case study. The size limitation of capsule endoscopy which constrains the power source and the complexity of the hardware utilization are the main reasons for selecting the capsule endoscopy compression system for this case study. Undertaking a comparison between different algorithms from the existing image compression algorithms in capsule endoscopy can highlight the main testing steps of the co-simulation testing method. To allow a fair comparison, the hardware co-simulation is implemented using the same FPGA device for the methods compared in this study and the results acquired are discussed.","PeriodicalId":179948,"journal":{"name":"2018 12th International Conference on Signal Processing and Communication Systems (ICSPCS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133679981","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 : 2018-12-01DOI: 10.1109/ICSPCS.2018.8631770
D. Shitov, E. Pirogova, M. Lech
The aim of this study is to determine the most suitable speech representation (features) for the neurocomputational modeling of the speech acquisition process. Majority of the existing techniques apply the mel frequency cepstral coefficients (MFCCs). Recent advancements in deep learning technologies created an opportunity for using a deep network parameters to represent speech signals. In this study, two experiments were conducted to obtain both qualitative and quantitative assessments of the modeling suitability of four different types of features: formants, MFCCs, MFCCs-PCA and neural network features. The results show that features extracted from the modified Convolutional Neural Network with a Long Short-Term Memory layer (CNN-LSTM) clearly outperformed all other types of features.
{"title":"Assessment of Features for Neurocomputational Modeling of Speech Acquisition","authors":"D. Shitov, E. Pirogova, M. Lech","doi":"10.1109/ICSPCS.2018.8631770","DOIUrl":"https://doi.org/10.1109/ICSPCS.2018.8631770","url":null,"abstract":"The aim of this study is to determine the most suitable speech representation (features) for the neurocomputational modeling of the speech acquisition process. Majority of the existing techniques apply the mel frequency cepstral coefficients (MFCCs). Recent advancements in deep learning technologies created an opportunity for using a deep network parameters to represent speech signals. In this study, two experiments were conducted to obtain both qualitative and quantitative assessments of the modeling suitability of four different types of features: formants, MFCCs, MFCCs-PCA and neural network features. The results show that features extracted from the modified Convolutional Neural Network with a Long Short-Term Memory layer (CNN-LSTM) clearly outperformed all other types of features.","PeriodicalId":179948,"journal":{"name":"2018 12th International Conference on Signal Processing and Communication Systems (ICSPCS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133914894","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 : 2018-12-01DOI: 10.1109/ICSPCS.2018.8631776
Timothy Roberts, K. Paliwal
The phase relationship between channels should be maintained when processing multiple channel signals with Time-Scale Modification (TSM). This paper proposes a method and additional variant for maintaining the phase relationship between channels, and retaining the presence in the centre of the stereo signal as a result. The method involves pre- and postprocessing the file with the variant processing each frame for real-time suitability. Sum and difference transforms of the stereo signal are used for time-scale modification and results in a large improvement in stereo phase coherence as well as maintaining the stereo field. The proposed method produces a high quality stereo output and greatly improves quality over the independent channel processing method. It also allows for simple implementation, and can be implemented around existing TSM frameworks. The proposed method and variant are suitable for both frequency and time domain TSM methods. Availability: All source code, figures, and source audio files can be found at github.com/zygurt/TSM/.
{"title":"Stereo Time-Scale Modification Using Sum and Difference Transformation","authors":"Timothy Roberts, K. Paliwal","doi":"10.1109/ICSPCS.2018.8631776","DOIUrl":"https://doi.org/10.1109/ICSPCS.2018.8631776","url":null,"abstract":"The phase relationship between channels should be maintained when processing multiple channel signals with Time-Scale Modification (TSM). This paper proposes a method and additional variant for maintaining the phase relationship between channels, and retaining the presence in the centre of the stereo signal as a result. The method involves pre- and postprocessing the file with the variant processing each frame for real-time suitability. Sum and difference transforms of the stereo signal are used for time-scale modification and results in a large improvement in stereo phase coherence as well as maintaining the stereo field. The proposed method produces a high quality stereo output and greatly improves quality over the independent channel processing method. It also allows for simple implementation, and can be implemented around existing TSM frameworks. The proposed method and variant are suitable for both frequency and time domain TSM methods. Availability: All source code, figures, and source audio files can be found at github.com/zygurt/TSM/.","PeriodicalId":179948,"journal":{"name":"2018 12th International Conference on Signal Processing and Communication Systems (ICSPCS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134172273","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 : 2018-12-01DOI: 10.1109/ICSPCS.2018.8631747
S. Denno, Yuta Kawaguchi, Tsubasa Inoue, Yafei Hou
This paper proposes a novel low complexity lattice reduction-aided iterative receiver for overloaded MIMO. Novel noise cancellation is proposed that increases an equivalent channel gain with a scalar gain introduced in this paper, which results in the improvement of the signal to noise power ratio (SNR). The performance of the proposed receiver is theoretically analyzed that the lattice reduction guarantees the SNR of the detector to be more than a value proportional to the scalar gain, when the LenstraLenstraLovas (LLL) algorithm is applied to implement the lattice reduction. The proposed receiver attains a gain of about 5dB at the BER of 10−4 in a 6 × 2 overloaded MIMO channel.
{"title":"Performance Analysis of Low Complexity Lattice Reduction-Aided Iterative Receiver for Overloaded MIMO","authors":"S. Denno, Yuta Kawaguchi, Tsubasa Inoue, Yafei Hou","doi":"10.1109/ICSPCS.2018.8631747","DOIUrl":"https://doi.org/10.1109/ICSPCS.2018.8631747","url":null,"abstract":"This paper proposes a novel low complexity lattice reduction-aided iterative receiver for overloaded MIMO. Novel noise cancellation is proposed that increases an equivalent channel gain with a scalar gain introduced in this paper, which results in the improvement of the signal to noise power ratio (SNR). The performance of the proposed receiver is theoretically analyzed that the lattice reduction guarantees the SNR of the detector to be more than a value proportional to the scalar gain, when the LenstraLenstraLovas (LLL) algorithm is applied to implement the lattice reduction. The proposed receiver attains a gain of about 5dB at the BER of 10−4 in a 6 × 2 overloaded MIMO channel.","PeriodicalId":179948,"journal":{"name":"2018 12th International Conference on Signal Processing and Communication Systems (ICSPCS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125010928","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 : 2018-12-01DOI: 10.1109/ICSPCS.2018.8631734
Qasim Al-shebani, P. Premaratne, P. Vial, D. McAndrew
The passive movement of capsule endoscopy has geared research to investigate the possibility of developing a locomotion mechanism to allow the control of the capsule movement. The size and the power capacity of capsule endoscopy have been the main bottlenecks to achieve an efficient locomotion design. Running a locomotion device for a long time it seems to be impossible without the utilization of an external magnetic field that has been found to be unsafe for human risks. A short utilization of a locomotion mechanism, which is controlled from outside the capsule, could solve the problems of size and power capacity limitations. The short utilization of the simplified design could solve a major risk of capsule endoscopy which is capsule retention. This paper is set out to investigate the feasibility of developing an internal capsule retention release mechanism to solve the problem of capsule endoscopy retention. This includes the design and configuration of new capsule model to mount the proposed locomotion system. Two types of motors were tested in this paper; these are a two-phase stepper motor and a coin-type vibration motor. The design of the printed circuit board (PCB) of the nRF51×822 was reconfigured to fit within the small dimensions of the new model. The operation performance of both motors using a limited power source has been recorded which show that the proposed design is able to work efficiently for a limited time. However, a number of steps need to be undertaken to realize the feasibility of the new design for practice which includes testing in an animal or a fabricated model that allow for peristaltic movement similar to the human GI tract movement.
{"title":"The Feasibility of an Internal Mechanism for Capsule Endoscopy Locomotion and Retention-Release","authors":"Qasim Al-shebani, P. Premaratne, P. Vial, D. McAndrew","doi":"10.1109/ICSPCS.2018.8631734","DOIUrl":"https://doi.org/10.1109/ICSPCS.2018.8631734","url":null,"abstract":"The passive movement of capsule endoscopy has geared research to investigate the possibility of developing a locomotion mechanism to allow the control of the capsule movement. The size and the power capacity of capsule endoscopy have been the main bottlenecks to achieve an efficient locomotion design. Running a locomotion device for a long time it seems to be impossible without the utilization of an external magnetic field that has been found to be unsafe for human risks. A short utilization of a locomotion mechanism, which is controlled from outside the capsule, could solve the problems of size and power capacity limitations. The short utilization of the simplified design could solve a major risk of capsule endoscopy which is capsule retention. This paper is set out to investigate the feasibility of developing an internal capsule retention release mechanism to solve the problem of capsule endoscopy retention. This includes the design and configuration of new capsule model to mount the proposed locomotion system. Two types of motors were tested in this paper; these are a two-phase stepper motor and a coin-type vibration motor. The design of the printed circuit board (PCB) of the nRF51×822 was reconfigured to fit within the small dimensions of the new model. The operation performance of both motors using a limited power source has been recorded which show that the proposed design is able to work efficiently for a limited time. However, a number of steps need to be undertaken to realize the feasibility of the new design for practice which includes testing in an animal or a fabricated model that allow for peristaltic movement similar to the human GI tract movement.","PeriodicalId":179948,"journal":{"name":"2018 12th International Conference on Signal Processing and Communication Systems (ICSPCS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125125467","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 : 2018-12-01DOI: 10.1109/ICSPCS.2018.8631758
E. Balda, A. Behboodi, R. Mathar
Deep learning based on Artificial Neural Networks (ANNs) has achieved great successes over the last years. However, gaining insight into the fundamentals and explaining their functionality is an open research area of high interest. In this paper, we use an information theoretic approach to reveal typical learning patterns of ANNs. For this purpose the training samples, the true labels, and the estimated labels are considered as random variables. Then, the mutual information and conditional entropy between these variables are studied. We show that the learning process of ANNs consists of essentially two phases. First, the network learns mostly about the input samples without significant improvement in the accuracy, thereafter the correct class allocation becomes more pronounced. This is based on investigating the conditional entropy of the estimated class label given the true one in the course of training. We next derive bounds on the conditional entropy as a function of the error probability, which provide interesting insights into the learning behavior of ANNs. Theoretical investigations are accompanied by extensive numerical studies on an artificial data set as well as the MNIST and CIFAR benchmark data using the widely known networks LeNet-5 and DenseNet. Amazingly, in all cases the bounds are nearly attained in later stages of the training phase, which allows for an analytical measure of the training status of an ANN.
{"title":"An Information Theoretic View on Learning of Artificial Neural Networks","authors":"E. Balda, A. Behboodi, R. Mathar","doi":"10.1109/ICSPCS.2018.8631758","DOIUrl":"https://doi.org/10.1109/ICSPCS.2018.8631758","url":null,"abstract":"Deep learning based on Artificial Neural Networks (ANNs) has achieved great successes over the last years. However, gaining insight into the fundamentals and explaining their functionality is an open research area of high interest. In this paper, we use an information theoretic approach to reveal typical learning patterns of ANNs. For this purpose the training samples, the true labels, and the estimated labels are considered as random variables. Then, the mutual information and conditional entropy between these variables are studied. We show that the learning process of ANNs consists of essentially two phases. First, the network learns mostly about the input samples without significant improvement in the accuracy, thereafter the correct class allocation becomes more pronounced. This is based on investigating the conditional entropy of the estimated class label given the true one in the course of training. We next derive bounds on the conditional entropy as a function of the error probability, which provide interesting insights into the learning behavior of ANNs. Theoretical investigations are accompanied by extensive numerical studies on an artificial data set as well as the MNIST and CIFAR benchmark data using the widely known networks LeNet-5 and DenseNet. Amazingly, in all cases the bounds are nearly attained in later stages of the training phase, which allows for an analytical measure of the training status of an ANN.","PeriodicalId":179948,"journal":{"name":"2018 12th International Conference on Signal Processing and Communication Systems (ICSPCS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122962389","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 : 2018-12-01DOI: 10.1109/ICSPCS.2018.8631718
Zhuoqi Zeng, Steven Liu, Lei Wang
The localization accuracy of ultra-wide band (UWB) system could be dramatically degraded, if the signal is propagated under non-line-of-sight (NLOS) condition. The detection of the NLOS propagation is very important to guarantee the accuracy of the UWB system. Based on the channel impulse response (CIR) sample, the NLOS condition could be identified. However, for the decawave chips, each CIR sample contains 1015 points. Thus the real-time realization of the NLOS detection with CIR is very hard, since the import and calculation of such a large amount of data cause to huge delay. In order to reduce the delay, the minimal needed size of the points in CIR for accurate NLOS identification is discussed in this paper. The support vector machine (SVM) is used for the classification based on the original CIR points or the eight different features extracted from each CIR. Furthermore, a new method is proposed for the identification based on the convolution algorithm. Compared to the existing approach with CIR, the needed CIR points for the detection are dramatically reduced, which makes the on-line identification realization possible. The accuracy of the NLOS identification with less CIR points is even better. The new proposed method using convolution algorithm also shows very promising results compared the other approaches.
{"title":"NLOS Identification for UWB Based on Channel Impulse Response","authors":"Zhuoqi Zeng, Steven Liu, Lei Wang","doi":"10.1109/ICSPCS.2018.8631718","DOIUrl":"https://doi.org/10.1109/ICSPCS.2018.8631718","url":null,"abstract":"The localization accuracy of ultra-wide band (UWB) system could be dramatically degraded, if the signal is propagated under non-line-of-sight (NLOS) condition. The detection of the NLOS propagation is very important to guarantee the accuracy of the UWB system. Based on the channel impulse response (CIR) sample, the NLOS condition could be identified. However, for the decawave chips, each CIR sample contains 1015 points. Thus the real-time realization of the NLOS detection with CIR is very hard, since the import and calculation of such a large amount of data cause to huge delay. In order to reduce the delay, the minimal needed size of the points in CIR for accurate NLOS identification is discussed in this paper. The support vector machine (SVM) is used for the classification based on the original CIR points or the eight different features extracted from each CIR. Furthermore, a new method is proposed for the identification based on the convolution algorithm. Compared to the existing approach with CIR, the needed CIR points for the detection are dramatically reduced, which makes the on-line identification realization possible. The accuracy of the NLOS identification with less CIR points is even better. The new proposed method using convolution algorithm also shows very promising results compared the other approaches.","PeriodicalId":179948,"journal":{"name":"2018 12th International Conference on Signal Processing and Communication Systems (ICSPCS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126760730","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 : 2018-12-01DOI: 10.1109/ICSPCS.2018.8631780
F. Tofigh, Guoqiang Mao, J. Lipman, M. Abolhasan
Crowd distribution is a challenging issue in the management and design levels. This paper provides a passive method to derive the crowd density distribution using Wi-Fi measurements on a real scenario. Six WiFi access points (AP) are deployed in the platform 2/3 of Redfern station, Sydney to monitor the platform for a week. Based on the probability maps that are built using RSSI measurements and prior knowledge, the crowd distribution is calculated on the platform and its results are compared with distributions acquired from CCTV images. Final density heat maps are in good agreement with the acquired results from CCTV cameras.
{"title":"Crowd Density Mapping Based on Wi-Fi Measurements on Train Platforms","authors":"F. Tofigh, Guoqiang Mao, J. Lipman, M. Abolhasan","doi":"10.1109/ICSPCS.2018.8631780","DOIUrl":"https://doi.org/10.1109/ICSPCS.2018.8631780","url":null,"abstract":"Crowd distribution is a challenging issue in the management and design levels. This paper provides a passive method to derive the crowd density distribution using Wi-Fi measurements on a real scenario. Six WiFi access points (AP) are deployed in the platform 2/3 of Redfern station, Sydney to monitor the platform for a week. Based on the probability maps that are built using RSSI measurements and prior knowledge, the crowd distribution is calculated on the platform and its results are compared with distributions acquired from CCTV images. Final density heat maps are in good agreement with the acquired results from CCTV cameras.","PeriodicalId":179948,"journal":{"name":"2018 12th International Conference on Signal Processing and Communication Systems (ICSPCS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122506258","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 : 2018-12-01DOI: 10.1109/ICSPCS.2018.8631708
G. Anthonys, M. Cree, L. Streeter
The precision and accuracy of time-of-flight full-field range cameras are important for many applications, however there are a number of noise sources that degrade both precision and accuracy. Many of the noise sources such as nonlinearity, multipath inferences and harmonic cancellation are well investigated. Barely investigated is jitter on the camera light and shutter signals. Here we measure periodic and random jitter on the light signal of a camera. We use signal processing techniques to construct a reference signal, hence find the jitter. The performance of the proposed method is examined using the MESA Imaging SwissRanger 4000. We found periodic jitter of two frequencies at 0.12 and 5.04 MHz and the random jitter of 164 ± 4 ps, on the light signal of the camera.
{"title":"Signal Processing Approaches for Jitter Extraction in Time-of-Flight Range Imaging Cameras","authors":"G. Anthonys, M. Cree, L. Streeter","doi":"10.1109/ICSPCS.2018.8631708","DOIUrl":"https://doi.org/10.1109/ICSPCS.2018.8631708","url":null,"abstract":"The precision and accuracy of time-of-flight full-field range cameras are important for many applications, however there are a number of noise sources that degrade both precision and accuracy. Many of the noise sources such as nonlinearity, multipath inferences and harmonic cancellation are well investigated. Barely investigated is jitter on the camera light and shutter signals. Here we measure periodic and random jitter on the light signal of a camera. We use signal processing techniques to construct a reference signal, hence find the jitter. The performance of the proposed method is examined using the MESA Imaging SwissRanger 4000. We found periodic jitter of two frequencies at 0.12 and 5.04 MHz and the random jitter of 164 ± 4 ps, on the light signal of the camera.","PeriodicalId":179948,"journal":{"name":"2018 12th International Conference on Signal Processing and Communication Systems (ICSPCS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131475529","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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