Pub Date : 2017-12-01DOI: 10.1109/ICSPCS.2017.8270470
O. Oyerinde
This paper investigates the effects of zero padding and cyclic prefixing in channel equalization for coherent optical orthogonal frequency division multiplexing (CO-OFDM) system. Two equalization-based algorithms, namely zero forcing (ZF) and minimum mean square error (MMSE) based equalizers are employed for the system The computer simulation results show that the zero padded (ZP)-CO-OFDM system outperforms its counterpart, the CP-CO-OFDM system. These results indicate that the ZP-CO-OFDM system can mitigate effects of the fiber link such as chromatic dispersion and polarization mode dispersion better than the CP-CO-OFDM system. The results also show that the MMSE based equalizer only slightly outperforms the ZF-based equalizer, that has associated low computational complexity, in the ZP-CO-OFDM system.
{"title":"Cyclic prefixed versus zero-padded-coherent optical OFDM systems' based MMSE equalization","authors":"O. Oyerinde","doi":"10.1109/ICSPCS.2017.8270470","DOIUrl":"https://doi.org/10.1109/ICSPCS.2017.8270470","url":null,"abstract":"This paper investigates the effects of zero padding and cyclic prefixing in channel equalization for coherent optical orthogonal frequency division multiplexing (CO-OFDM) system. Two equalization-based algorithms, namely zero forcing (ZF) and minimum mean square error (MMSE) based equalizers are employed for the system The computer simulation results show that the zero padded (ZP)-CO-OFDM system outperforms its counterpart, the CP-CO-OFDM system. These results indicate that the ZP-CO-OFDM system can mitigate effects of the fiber link such as chromatic dispersion and polarization mode dispersion better than the CP-CO-OFDM system. The results also show that the MMSE based equalizer only slightly outperforms the ZF-based equalizer, that has associated low computational complexity, in the ZP-CO-OFDM system.","PeriodicalId":268205,"journal":{"name":"2017 11th International Conference on Signal Processing and Communication Systems (ICSPCS)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114936786","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 : 2017-12-01DOI: 10.1109/ICSPCS.2017.8270478
Weiyun Jin, Jie Wei, Xiaofeng Zhong
Speech enhancement algorithms based on microphone array have been applied to intelligent speech communication systems, such as vehicle systems, teleconferencing and hearing aids. This paper proposed an improved generalized sidelobe canceller(GSC) algorithm to eliminate the intense noise interference of the speech, which is recorded in the driving environment. First, it introduced low-frequency suppression; then, it utilized source location to improve the blocking matrix, thus effectively reducing the speech leakage; finally, the multi-band spectral subtraction algorithm was combined for denoising model. Experimental results show that the proposed microphone array based speech enhancement method has a significant performance in terms of both SNR and intelligibility.
{"title":"Multi-channel speech enhancement in driving environment","authors":"Weiyun Jin, Jie Wei, Xiaofeng Zhong","doi":"10.1109/ICSPCS.2017.8270478","DOIUrl":"https://doi.org/10.1109/ICSPCS.2017.8270478","url":null,"abstract":"Speech enhancement algorithms based on microphone array have been applied to intelligent speech communication systems, such as vehicle systems, teleconferencing and hearing aids. This paper proposed an improved generalized sidelobe canceller(GSC) algorithm to eliminate the intense noise interference of the speech, which is recorded in the driving environment. First, it introduced low-frequency suppression; then, it utilized source location to improve the blocking matrix, thus effectively reducing the speech leakage; finally, the multi-band spectral subtraction algorithm was combined for denoising model. Experimental results show that the proposed microphone array based speech enhancement method has a significant performance in terms of both SNR and intelligibility.","PeriodicalId":268205,"journal":{"name":"2017 11th International Conference on Signal Processing and Communication Systems (ICSPCS)","volume":"64 6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114107772","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 : 2017-12-01DOI: 10.1109/ICSPCS.2017.8270497
S. Chandrasekharan, K. Sithamparanathan, R. Evans
Aerial networks based on Low Altitude Platforms (LAP) provides an excellent method to rapidly deploy flexible communications infrastructure during large-scale emergency and public events. In such situations, it is of utmost importance to extend the lifetime of the battery operated hand-held devices serving on the ground. In this paper, we propose a novel clustering technique to improve the energy efficiency of the terrestrial nodes served by the aerial base-station under uncertain channel conditions on the ground. The proposed technique is analysed by means of simulations and the results are compared with well-known clustering algorithms. The results show that the proposed clustering mechanism significantly improves the energy efficiency of the terrestrial nodes under certain conditions.
{"title":"EE-CAN: Energy efficient clustering in aerial networks","authors":"S. Chandrasekharan, K. Sithamparanathan, R. Evans","doi":"10.1109/ICSPCS.2017.8270497","DOIUrl":"https://doi.org/10.1109/ICSPCS.2017.8270497","url":null,"abstract":"Aerial networks based on Low Altitude Platforms (LAP) provides an excellent method to rapidly deploy flexible communications infrastructure during large-scale emergency and public events. In such situations, it is of utmost importance to extend the lifetime of the battery operated hand-held devices serving on the ground. In this paper, we propose a novel clustering technique to improve the energy efficiency of the terrestrial nodes served by the aerial base-station under uncertain channel conditions on the ground. The proposed technique is analysed by means of simulations and the results are compared with well-known clustering algorithms. The results show that the proposed clustering mechanism significantly improves the energy efficiency of the terrestrial nodes under certain conditions.","PeriodicalId":268205,"journal":{"name":"2017 11th International Conference on Signal Processing and Communication Systems (ICSPCS)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127259442","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 : 2017-12-01DOI: 10.1109/ICSPCS.2017.8270465
Alanna Vial, D. Stirling, M. Ros, P. Vial, M. Field
This study investigated the application of Symbolic Aggregate approXimation (SAX) to modelling dynamic body motion using a single inertial measurement unit (IMU). In addition this study demonstrates how IMUs located at different positions around the body produce comparable results. This study investigates the output of multiple IMU sensors, employed to monitor movement. Next a comparison of the sternum, pelvis, head and lower back sensor locations is conducted by analysing the measured rotation and position IMU data. Additionally, the classifier has been improved by increasing the information in the training data to avoid incorrect classification of similar activities. The results obtained in this study also prove that the sternum and head sensors provided comparable data to the pelvis sensor when using TSBs for classification, especially when used to classify dynamic activities. To pre-process the data, sub-dimensional motif discovery was employed to find features within the data from multiple IMUs. This improves on previous studies which illustrated difficulty classifying fast movements using the sternum IMU. This data was also approximated using SAX and classified by comparing Time Series Bitmaps (TSB's) to find the least Euclidean distance between the reference TSB's and the sliding window TSB's.
{"title":"Modelling dynamic body motion using IMUs positioned on the torso","authors":"Alanna Vial, D. Stirling, M. Ros, P. Vial, M. Field","doi":"10.1109/ICSPCS.2017.8270465","DOIUrl":"https://doi.org/10.1109/ICSPCS.2017.8270465","url":null,"abstract":"This study investigated the application of Symbolic Aggregate approXimation (SAX) to modelling dynamic body motion using a single inertial measurement unit (IMU). In addition this study demonstrates how IMUs located at different positions around the body produce comparable results. This study investigates the output of multiple IMU sensors, employed to monitor movement. Next a comparison of the sternum, pelvis, head and lower back sensor locations is conducted by analysing the measured rotation and position IMU data. Additionally, the classifier has been improved by increasing the information in the training data to avoid incorrect classification of similar activities. The results obtained in this study also prove that the sternum and head sensors provided comparable data to the pelvis sensor when using TSBs for classification, especially when used to classify dynamic activities. To pre-process the data, sub-dimensional motif discovery was employed to find features within the data from multiple IMUs. This improves on previous studies which illustrated difficulty classifying fast movements using the sternum IMU. This data was also approximated using SAX and classified by comparing Time Series Bitmaps (TSB's) to find the least Euclidean distance between the reference TSB's and the sliding window TSB's.","PeriodicalId":268205,"journal":{"name":"2017 11th International Conference on Signal Processing and Communication Systems (ICSPCS)","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125369825","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 : 2017-12-01DOI: 10.1109/ICSPCS.2017.8270514
D. Umehara, R. Saiki
Let us consider that space division multiplexing (SDM) signal is transmitted at a base station (BS) with a number of antennae to mobile terminals (MTs) with fewer antennae. It will be intractable for a MT to demultiplex the SDM signal by space filtering in the case of less degrees of freedom at the MT. Receiver cooperative multiple-input and multiple-output (RC-MIMO) is applied to demultiplex the SDM signal with the enhancement of degrees of freedom at the MT by sharing the other SDM signals received at the surrounding MTs with pulse code modulated radio over higher-frequency radio (PCM-RoHR). In this paper, we show the capacity of RC-MIMO with PCM-RoHR by taking its fading spatial correlation and quantization error into consideration with numerical analysis.
{"title":"Receiver cooperative MIMO-OFDM capacity with quantization error and spatial correlation","authors":"D. Umehara, R. Saiki","doi":"10.1109/ICSPCS.2017.8270514","DOIUrl":"https://doi.org/10.1109/ICSPCS.2017.8270514","url":null,"abstract":"Let us consider that space division multiplexing (SDM) signal is transmitted at a base station (BS) with a number of antennae to mobile terminals (MTs) with fewer antennae. It will be intractable for a MT to demultiplex the SDM signal by space filtering in the case of less degrees of freedom at the MT. Receiver cooperative multiple-input and multiple-output (RC-MIMO) is applied to demultiplex the SDM signal with the enhancement of degrees of freedom at the MT by sharing the other SDM signals received at the surrounding MTs with pulse code modulated radio over higher-frequency radio (PCM-RoHR). In this paper, we show the capacity of RC-MIMO with PCM-RoHR by taking its fading spatial correlation and quantization error into consideration with numerical analysis.","PeriodicalId":268205,"journal":{"name":"2017 11th International Conference on Signal Processing and Communication Systems (ICSPCS)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114783434","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 : 2017-12-01DOI: 10.1109/ICSPCS.2017.8270495
D. Kouri, Michael M. Zhang, Desheng Zhang
A generalization of the varying weight trimmed mean (VWTM) filter is proposed for the removal of both additive and impulse noise from corrupted images by introducing the center pixel to the original VWTM filter. Unlike many traditional nonlinear filters, one key feature of the VWTM filter is that the weights of the pixels to be averaged are not constant. They vary based on their differences to the median value. By adding the weight varying center pixel to the VWTM filtering formalism, the center pixel is therefore involved in adjusting its filtering output. Studies of the proposed filtering technique with several other methods show that the present method, in comparison, is extremely robust and efficient for removing noise from highly corrupted images.
{"title":"On a new nonlinear image filtering technique","authors":"D. Kouri, Michael M. Zhang, Desheng Zhang","doi":"10.1109/ICSPCS.2017.8270495","DOIUrl":"https://doi.org/10.1109/ICSPCS.2017.8270495","url":null,"abstract":"A generalization of the varying weight trimmed mean (VWTM) filter is proposed for the removal of both additive and impulse noise from corrupted images by introducing the center pixel to the original VWTM filter. Unlike many traditional nonlinear filters, one key feature of the VWTM filter is that the weights of the pixels to be averaged are not constant. They vary based on their differences to the median value. By adding the weight varying center pixel to the VWTM filtering formalism, the center pixel is therefore involved in adjusting its filtering output. Studies of the proposed filtering technique with several other methods show that the present method, in comparison, is extremely robust and efficient for removing noise from highly corrupted images.","PeriodicalId":268205,"journal":{"name":"2017 11th International Conference on Signal Processing and Communication Systems (ICSPCS)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131132725","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 : 2017-12-01DOI: 10.1109/ICSPCS.2017.8270477
Thomas Jordbru, Mohamed Hamid, Linga Reddy Cenkeramaddi, Henning Idsøe, B. Beferull-Lozano
In this paper, an experimental validation of a combined two-stage detector called 2EMC is carried out. The detector is proposed in [1]. The 2EMC is composed of energy detector as a primary stage and maximum-minimum eigenvalue detector as a secondary stage. The 2EMC outperforms the two individual detectors in terms of the probability of detection for the same probability of false alarm. Regarding the complexity measured in the sensing time, the 2EMC sensing time is bounded by the sensing times of the two individual detectors. 2EMC incorporates noise estimation that is used by the energy detector, which makes it fully-blind and self-adapted detector. The noise estimator performance is expressed in terms of the normalized mean square error (NMSE). The 2EMC is implemented using USRPs and signals transmitted wirelessly. Measurements results show functionality and validate the theoretical findings.
{"title":"Implementation of a two stage fully-blind self-adapted spectrum sensing algorithm","authors":"Thomas Jordbru, Mohamed Hamid, Linga Reddy Cenkeramaddi, Henning Idsøe, B. Beferull-Lozano","doi":"10.1109/ICSPCS.2017.8270477","DOIUrl":"https://doi.org/10.1109/ICSPCS.2017.8270477","url":null,"abstract":"In this paper, an experimental validation of a combined two-stage detector called 2EMC is carried out. The detector is proposed in [1]. The 2EMC is composed of energy detector as a primary stage and maximum-minimum eigenvalue detector as a secondary stage. The 2EMC outperforms the two individual detectors in terms of the probability of detection for the same probability of false alarm. Regarding the complexity measured in the sensing time, the 2EMC sensing time is bounded by the sensing times of the two individual detectors. 2EMC incorporates noise estimation that is used by the energy detector, which makes it fully-blind and self-adapted detector. The noise estimator performance is expressed in terms of the normalized mean square error (NMSE). The 2EMC is implemented using USRPs and signals transmitted wirelessly. Measurements results show functionality and validate the theoretical findings.","PeriodicalId":268205,"journal":{"name":"2017 11th International Conference on Signal Processing and Communication Systems (ICSPCS)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130386589","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 : 2017-12-01DOI: 10.1109/ICSPCS.2017.8270481
Lihui Wang, Yuki Matsumura, K. Takeda, Xiaolin Hou, Satoshi Nagata
In this paper, designs for the New Radio (NR) physical uplink control channel (NR PUCCH) spanning 1 orthogonal frequency division multiplexing (OFDM) symbol duration (short-PUCCH) is investigated. Two short-PUCCH formats i.e., Format A, in which demodulation reference signal (DMRS) and uplink control information (UCI) are FDMed, and Format B, in which DMRS and UCI are TDMed, are proposed and evaluated by computer simulation. For Format A, various DMRS overheads can be realized by adjusting the numbers of DMRS subcarriers and that of UCI subcarriers for the given 1 OFDM symbol. For Format B, we assume no FDM between DMRS and UCI, so that discrete Fourier transform (DFT)-spread OFDM (DFT-s-OFDM) waveform is applicable; in order to adjust DMRS overhead, we locate more than one OFDM symbols within the given 1 OFDM symbol duration by using higher subcarrier spacing (SCS) for the short-PUCCH with Format B. The link-level evaluation results and link-budget analysis show that Format A offers better link-level performance than Format B, while better link-budget performance is achieved by Format B, with taking into account the peak-to-average power ratio (PAPR) power back-off margin.
{"title":"Uplink control channel for 5G new RAT","authors":"Lihui Wang, Yuki Matsumura, K. Takeda, Xiaolin Hou, Satoshi Nagata","doi":"10.1109/ICSPCS.2017.8270481","DOIUrl":"https://doi.org/10.1109/ICSPCS.2017.8270481","url":null,"abstract":"In this paper, designs for the New Radio (NR) physical uplink control channel (NR PUCCH) spanning 1 orthogonal frequency division multiplexing (OFDM) symbol duration (short-PUCCH) is investigated. Two short-PUCCH formats i.e., Format A, in which demodulation reference signal (DMRS) and uplink control information (UCI) are FDMed, and Format B, in which DMRS and UCI are TDMed, are proposed and evaluated by computer simulation. For Format A, various DMRS overheads can be realized by adjusting the numbers of DMRS subcarriers and that of UCI subcarriers for the given 1 OFDM symbol. For Format B, we assume no FDM between DMRS and UCI, so that discrete Fourier transform (DFT)-spread OFDM (DFT-s-OFDM) waveform is applicable; in order to adjust DMRS overhead, we locate more than one OFDM symbols within the given 1 OFDM symbol duration by using higher subcarrier spacing (SCS) for the short-PUCCH with Format B. The link-level evaluation results and link-budget analysis show that Format A offers better link-level performance than Format B, while better link-budget performance is achieved by Format B, with taking into account the peak-to-average power ratio (PAPR) power back-off margin.","PeriodicalId":268205,"journal":{"name":"2017 11th International Conference on Signal Processing and Communication Systems (ICSPCS)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131086708","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 : 2017-12-01DOI: 10.1109/ICSPCS.2017.8270472
Melissa N. Stolar, M. Lech, R. Bolia, Michael Skinner
This paper describes a real-time Speech Emotion Recognition (SER) task formulated as an image classification problem. The shift to an image classification paradigm provided the advantage of using an existing Deep Neural Network (AlexNet) pre-trained on a very large number of images, and thus eliminating the need for a lengthy network training process. Two alternative multi-class SER systems, AlexNet-SVM and FTAlexNet, were investigated. Both systems were shown to achieve state-of-the-art results when tested on a popular Berlin Emotional Speech (EMO-DB) database. Transformation from speech to image classification was achieved by creating RGB images depicting speech spectrograms. The ALEXNet-SVM method passes the spectrogram images as inputs to a pre-trained Convolutional Neural Network (AlexNet) to provide features for the Support Vector Machine (SVM) classifier, whereas the FTAlexNet method simply applies the images to a fine tuned AlexNet to provide emotional class labels. The FTAlexNet offers slightly higher accuracy compared to the AlexNet-SVM, while the AlexNet-SVM requires a lower number of computations due to the elimination of the neural network training procedure. A real-time demo is given on: https://www.youtube.com/watch?v=fuMpF3cUqDU&t=6s.
{"title":"Real time speech emotion recognition using RGB image classification and transfer learning","authors":"Melissa N. Stolar, M. Lech, R. Bolia, Michael Skinner","doi":"10.1109/ICSPCS.2017.8270472","DOIUrl":"https://doi.org/10.1109/ICSPCS.2017.8270472","url":null,"abstract":"This paper describes a real-time Speech Emotion Recognition (SER) task formulated as an image classification problem. The shift to an image classification paradigm provided the advantage of using an existing Deep Neural Network (AlexNet) pre-trained on a very large number of images, and thus eliminating the need for a lengthy network training process. Two alternative multi-class SER systems, AlexNet-SVM and FTAlexNet, were investigated. Both systems were shown to achieve state-of-the-art results when tested on a popular Berlin Emotional Speech (EMO-DB) database. Transformation from speech to image classification was achieved by creating RGB images depicting speech spectrograms. The ALEXNet-SVM method passes the spectrogram images as inputs to a pre-trained Convolutional Neural Network (AlexNet) to provide features for the Support Vector Machine (SVM) classifier, whereas the FTAlexNet method simply applies the images to a fine tuned AlexNet to provide emotional class labels. The FTAlexNet offers slightly higher accuracy compared to the AlexNet-SVM, while the AlexNet-SVM requires a lower number of computations due to the elimination of the neural network training procedure. A real-time demo is given on: https://www.youtube.com/watch?v=fuMpF3cUqDU&t=6s.","PeriodicalId":268205,"journal":{"name":"2017 11th International Conference on Signal Processing and Communication Systems (ICSPCS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125109626","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 : 2017-12-01DOI: 10.1109/ICSPCS.2017.8270503
Peter Q. C. Ly, S. Sirianunpiboon, S. D. Elton
This paper develops a multi-sensor generalised likelihood ratio test (GLRT) detector to robustly detect the presence of radar signals with binary phase shift keying (BPSK) modulation with completely unknown parameters in noise using the output of a multi-sensor array. The performance of the proposed detector is evaluated through simulations and compared against two cyclostationary detectors. Simulation results demonstrate that the proposed multi-sensor GLRT detector offers more robust detection of BPSK signals in low signal-to-noise ratio conditions and at lower false alarm rates compared to the multi-sensor cyclostationary methods.
{"title":"Passive detection of BPSK radar signals with unknown parameters using multi-sensor arrays","authors":"Peter Q. C. Ly, S. Sirianunpiboon, S. D. Elton","doi":"10.1109/ICSPCS.2017.8270503","DOIUrl":"https://doi.org/10.1109/ICSPCS.2017.8270503","url":null,"abstract":"This paper develops a multi-sensor generalised likelihood ratio test (GLRT) detector to robustly detect the presence of radar signals with binary phase shift keying (BPSK) modulation with completely unknown parameters in noise using the output of a multi-sensor array. The performance of the proposed detector is evaluated through simulations and compared against two cyclostationary detectors. Simulation results demonstrate that the proposed multi-sensor GLRT detector offers more robust detection of BPSK signals in low signal-to-noise ratio conditions and at lower false alarm rates compared to the multi-sensor cyclostationary methods.","PeriodicalId":268205,"journal":{"name":"2017 11th International Conference on Signal Processing and Communication Systems (ICSPCS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115834879","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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