Pub Date : 2015-06-10DOI: 10.1109/SPS.2015.7168267
J. Drozdowicz, G. Mazurek
An increasing number of wireless networks operate in indoor environments nowadays. In this paper the development of a wireless sensor network with the goal of network flexibility, energy efficiency and versatility is presented. The proposed network supports transmission in 868 MHz or 2.4 GHz frequency bands, in accordance with the IEEE 802.15.4 standard. The performance of the network was tested in both outdoor and indoor environments. The quality of indoor transmission in both frequency bands (868 MHz and 2.4 GHz) was experimentally checked and compared to the results from another system operating in the 433 MHz frequency band in the same scenario.
{"title":"IEEE 802.15.4 compliant in-building wireless sensor network","authors":"J. Drozdowicz, G. Mazurek","doi":"10.1109/SPS.2015.7168267","DOIUrl":"https://doi.org/10.1109/SPS.2015.7168267","url":null,"abstract":"An increasing number of wireless networks operate in indoor environments nowadays. In this paper the development of a wireless sensor network with the goal of network flexibility, energy efficiency and versatility is presented. The proposed network supports transmission in 868 MHz or 2.4 GHz frequency bands, in accordance with the IEEE 802.15.4 standard. The performance of the network was tested in both outdoor and indoor environments. The quality of indoor transmission in both frequency bands (868 MHz and 2.4 GHz) was experimentally checked and compared to the results from another system operating in the 433 MHz frequency band in the same scenario.","PeriodicalId":193902,"journal":{"name":"2015 Signal Processing Symposium (SPSympo)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115907919","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 : 2015-06-10DOI: 10.1109/SPS.2015.7168285
Christian H. Flores Vega, J. Noel
Due to the stochastic nature of EEG signals, various nonlinear patterns and methods have been applied in order to obtain characteristic understanding of their dynamic behavior [6]. The Fractal Dimension (FD) is an appropriate tool to analyzed EEG signals and can be calculated by means of the Higuchi's algorithm. Nevertheless, this algorithm depends of the k parameter to improve the speed of calculation. The aim of this work is to analyze the sensitivity of the k parameter due to segmentation, overlap, and noise over a signal. After that, with a better k parameter we applied the FD on EEG brain signals recorded while subjects were executing cognitive task. To analyze the statistical differences for each cognitive mental task, the hypothesis Wilcoxon signed-rank test was applied. The results for all tested brain bands used in this study reported a statistical difference (p <; 0.05) in 9 out of 10 pairs of mental tasks. The proposed approach reported is a good tool for cognitive tasks discrimination. We have also determine better k parameter for different conditions therefore these results can be used for future studies.
{"title":"Parameters analyzed of Higuchi's fractal dimension for EEG brain signals","authors":"Christian H. Flores Vega, J. Noel","doi":"10.1109/SPS.2015.7168285","DOIUrl":"https://doi.org/10.1109/SPS.2015.7168285","url":null,"abstract":"Due to the stochastic nature of EEG signals, various nonlinear patterns and methods have been applied in order to obtain characteristic understanding of their dynamic behavior [6]. The Fractal Dimension (FD) is an appropriate tool to analyzed EEG signals and can be calculated by means of the Higuchi's algorithm. Nevertheless, this algorithm depends of the k parameter to improve the speed of calculation. The aim of this work is to analyze the sensitivity of the k parameter due to segmentation, overlap, and noise over a signal. After that, with a better k parameter we applied the FD on EEG brain signals recorded while subjects were executing cognitive task. To analyze the statistical differences for each cognitive mental task, the hypothesis Wilcoxon signed-rank test was applied. The results for all tested brain bands used in this study reported a statistical difference (p <; 0.05) in 9 out of 10 pairs of mental tasks. The proposed approach reported is a good tool for cognitive tasks discrimination. We have also determine better k parameter for different conditions therefore these results can be used for future studies.","PeriodicalId":193902,"journal":{"name":"2015 Signal Processing Symposium (SPSympo)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130879412","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 : 2015-06-10DOI: 10.1109/SPS.2015.7168264
K. Borowiec
In this paper a real-time SAR imagery displaying application is presented. The application was developed as part of the SARape (Synthetic Aperture Radar for all weather penetrating UAV application) project sponsored by the European Defence Agency. The application receives processed data via an SAR processing application, performs image formation and displays the results in real time. The main engine of the application is based on multithreading.
{"title":"Real-time synthetic aperture radar imagery displaying application: Implementation and results","authors":"K. Borowiec","doi":"10.1109/SPS.2015.7168264","DOIUrl":"https://doi.org/10.1109/SPS.2015.7168264","url":null,"abstract":"In this paper a real-time SAR imagery displaying application is presented. The application was developed as part of the SARape (Synthetic Aperture Radar for all weather penetrating UAV application) project sponsored by the European Defence Agency. The application receives processed data via an SAR processing application, performs image formation and displays the results in real time. The main engine of the application is based on multithreading.","PeriodicalId":193902,"journal":{"name":"2015 Signal Processing Symposium (SPSympo)","volume":"42 1-8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116548114","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 : 2015-06-10DOI: 10.1109/SPS.2015.7168276
P. Gomez-del-Hoyo, N. del-Rey-Maestre, D. Mata-Moya, M. Jarabo-Amores, J. Martin-de-Nicolas
This paper tackles the evaluation of a Kalman filter-based tracker with real data acquired by a Passive Bistatic Radar (PBR) system. The detection of slow moving targets manoeuvres in ground environment is considered. This radar scenario is characterized by shadowed areas with detection losses due to diffraction phenomena associated with trees, buildings, etc. The application of the designed tracker to real data acquired by a PBR system allows us the study of the detection capabilities to identify tracks in line-of-sight and non line-of-sight areas.
{"title":"First results on ground targets tracking using UHF passive radars under non line-of-sight conditions","authors":"P. Gomez-del-Hoyo, N. del-Rey-Maestre, D. Mata-Moya, M. Jarabo-Amores, J. Martin-de-Nicolas","doi":"10.1109/SPS.2015.7168276","DOIUrl":"https://doi.org/10.1109/SPS.2015.7168276","url":null,"abstract":"This paper tackles the evaluation of a Kalman filter-based tracker with real data acquired by a Passive Bistatic Radar (PBR) system. The detection of slow moving targets manoeuvres in ground environment is considered. This radar scenario is characterized by shadowed areas with detection losses due to diffraction phenomena associated with trees, buildings, etc. The application of the designed tracker to real data acquired by a PBR system allows us the study of the detection capabilities to identify tracks in line-of-sight and non line-of-sight areas.","PeriodicalId":193902,"journal":{"name":"2015 Signal Processing Symposium (SPSympo)","volume":"286 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116576437","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 : 2015-06-10DOI: 10.1109/SPS.2015.7168281
S. Lukin, O. Zemlyaniy, K. Lukin
The results on the use of arbitrary waveform generators that are based on FPGA technology for generation of complex signals in modern noise radars are presented. On the basis of these devices we propose a radar scheme with digital generation of noise waveforms for both sounding signal and reference and analog processing (stepped-delay method for noise radar). Experimental testing shows efficiency of FPGA-based application in radar with variety of sounding waveforms.
{"title":"FPGA-based devices for random waveform generation and stepped delay signal processing","authors":"S. Lukin, O. Zemlyaniy, K. Lukin","doi":"10.1109/SPS.2015.7168281","DOIUrl":"https://doi.org/10.1109/SPS.2015.7168281","url":null,"abstract":"The results on the use of arbitrary waveform generators that are based on FPGA technology for generation of complex signals in modern noise radars are presented. On the basis of these devices we propose a radar scheme with digital generation of noise waveforms for both sounding signal and reference and analog processing (stepped-delay method for noise radar). Experimental testing shows efficiency of FPGA-based application in radar with variety of sounding waveforms.","PeriodicalId":193902,"journal":{"name":"2015 Signal Processing Symposium (SPSympo)","volume":"187 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115992472","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 : 2015-06-10DOI: 10.1109/SPS.2015.7168258
A. S. Turk, P. Ozkan-Bakbak, L. Durak-Ata, Melek Orhan, Mehmet Unal
Compressive sensing (CS) enables the reconstruction of ground-penetrating radar (GPR) signals by processing in a compressed region with a few samples instead of taking all signal samples. In this study, microwave radar signals which have been produced in microwave laboratory are processed by CS. Reflection data samples which are produced between 0.1 GHz-15 GHz frequency band with 0.074 GHz increments are taken randomly at ¼, ½, ¾ of quantity and reconstructed via convex optimization by CS. Considering the Fourier coefficients of the signals, 50 and 100 sparse Fourier coefficients are taken to analysis the difference between them.
{"title":"Reconstruction of through-the-wall imaging radar signals by compressive sensing","authors":"A. S. Turk, P. Ozkan-Bakbak, L. Durak-Ata, Melek Orhan, Mehmet Unal","doi":"10.1109/SPS.2015.7168258","DOIUrl":"https://doi.org/10.1109/SPS.2015.7168258","url":null,"abstract":"Compressive sensing (CS) enables the reconstruction of ground-penetrating radar (GPR) signals by processing in a compressed region with a few samples instead of taking all signal samples. In this study, microwave radar signals which have been produced in microwave laboratory are processed by CS. Reflection data samples which are produced between 0.1 GHz-15 GHz frequency band with 0.074 GHz increments are taken randomly at ¼, ½, ¾ of quantity and reconstructed via convex optimization by CS. Considering the Fourier coefficients of the signals, 50 and 100 sparse Fourier coefficients are taken to analysis the difference between them.","PeriodicalId":193902,"journal":{"name":"2015 Signal Processing Symposium (SPSympo)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129079206","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 : 2015-06-10DOI: 10.1109/SPS.2015.7168305
S. Rzewuski, K. Kulpa, A. Gromek
This paper describes airborne targets detection possibilities using weather radar signals. During last two decades air traffics increased significantly. The airborne target like airplane or helicopter is a fast moving object on the radar horizon which gives strong Doppler echoes in received signal. In this paper we would like to show the results of simple processing echo from weather radar on Legionowo and show detected targets, which in our opinion are airborne. Airborne target can be a problem for the radar since it is a source of additional interference especially in wind farm regions. From the other side the weather radar systems after detecting airborne target like small airplane or large bird may share that information with Air Traffic Control systems extending Air Traffic Control knowledge about the airspace situation. Even if the weather radar from it's capabilities gives poor resolution of detecting airborne targets it is better to have any poor quality information about the target than no information at all. Airborne target detection possibility using weather radar will be discussed in this paper.
{"title":"Airborne targets detection using weather radar","authors":"S. Rzewuski, K. Kulpa, A. Gromek","doi":"10.1109/SPS.2015.7168305","DOIUrl":"https://doi.org/10.1109/SPS.2015.7168305","url":null,"abstract":"This paper describes airborne targets detection possibilities using weather radar signals. During last two decades air traffics increased significantly. The airborne target like airplane or helicopter is a fast moving object on the radar horizon which gives strong Doppler echoes in received signal. In this paper we would like to show the results of simple processing echo from weather radar on Legionowo and show detected targets, which in our opinion are airborne. Airborne target can be a problem for the radar since it is a source of additional interference especially in wind farm regions. From the other side the weather radar systems after detecting airborne target like small airplane or large bird may share that information with Air Traffic Control systems extending Air Traffic Control knowledge about the airspace situation. Even if the weather radar from it's capabilities gives poor resolution of detecting airborne targets it is better to have any poor quality information about the target than no information at all. Airborne target detection possibility using weather radar will be discussed in this paper.","PeriodicalId":193902,"journal":{"name":"2015 Signal Processing Symposium (SPSympo)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121632124","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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