Academic literature on the topic 'Ranging signal acquisition time'
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Journal articles on the topic "Ranging signal acquisition time"
Ji, Xiao Dong, Zi Xian Yang, Xu Li, Guang Hui Xue, and Miao Wu. "Study on Method for Real-Time Vibration Signal of Shearer Acquisition." Applied Mechanics and Materials 373-375 (August 2013): 865–69. http://dx.doi.org/10.4028/www.scientific.net/amm.373-375.865.
Full textDiouf, Cherif, Gerard J. M. Janssen, Han Dun, Tarik Kazaz, and Christian C. J. M. Tiberius. "A USRP-Based Testbed for Wideband Ranging and Positioning Signal Acquisition." IEEE Transactions on Instrumentation and Measurement 70 (2021): 1–15. http://dx.doi.org/10.1109/tim.2021.3065449.
Full textWu, Xing Cun, Ping Gong, Hai Jun Song, and Hui Zhi Zou. "An FFT-Based Approach for Carrier Frequency Domain Acquisition in Spread Spectrum TT&C System." Applied Mechanics and Materials 135-136 (October 2011): 211–16. http://dx.doi.org/10.4028/www.scientific.net/amm.135-136.211.
Full textLi, Zhikang, Bo Liu, Huachuang Wang, Zhen Chen, Qun Zhang, Kangjian Hua, and Jing Yang. "Target Tracking and Ranging Based on Single Photon Detection." Photonics 8, no. 7 (July 15, 2021): 278. http://dx.doi.org/10.3390/photonics8070278.
Full textIncoronato, Alfonso, Mauro Locatelli, and Franco Zappa. "Statistical Modelling of SPADs for Time-of-Flight LiDAR." Sensors 21, no. 13 (June 30, 2021): 4481. http://dx.doi.org/10.3390/s21134481.
Full textRoule, Petr, Ondřej Jakubov, Pavel Kovář, Petr Kařmařík, and František Vejražka. "Gnss Signal Processing in Gpu." Artificial Satellites 48, no. 2 (June 1, 2013): 51–61. http://dx.doi.org/10.2478/arsa-2013-0005.
Full textSatyanarayana, A. N., B. Chandrashekara Rao, D. Lalitha, and B. Lakshmi. "Modis data acquisition and utilization for forest fire management in india." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-8 (December 23, 2014): 1383–87. http://dx.doi.org/10.5194/isprsarchives-xl-8-1383-2014.
Full textCoccia, Armando, Federica Amitrano, Leandro Donisi, Giuseppe Cesarelli, Gaetano Pagano, Mario Cesarelli, and Giovanni D'Addio. "Design and validation of an e-textile-based wearable system for remote health monitoring." ACTA IMEKO 10, no. 2 (June 29, 2021): 220. http://dx.doi.org/10.21014/acta_imeko.v10i2.912.
Full textDu, Wen Ya, Wei Ping Song, Deng Chao Feng, and Li Hong Zhang. "Study on GPS Ranging Technology for Intelligent Detection of Subgrade Compaction." Applied Mechanics and Materials 220-223 (November 2012): 1533–38. http://dx.doi.org/10.4028/www.scientific.net/amm.220-223.1533.
Full textJiang, Zhonghui, Wu Huang, Xiao Wei, Defu Cheng, and Dan Li. "Self-Adaptive Dynamic Ranging Model-Based Real-Time Hybrid Algorithm for Accurate Indoor Localization." International Journal of Computer and Communication Engineering 9, no. 4 (2020): 167–84. http://dx.doi.org/10.17706/ijcce.2020.9.4.167-184.
Full textDissertations / Theses on the topic "Ranging signal acquisition time"
McLean, Roger, Niles Walker, and William Slivkoff. "HIGH PERFORMANCE SATELLITE RANGING TECHNIQUE UTILIZING A FLEXIBLE RANGING SIGNAL WAVEFORM." International Foundation for Telemetering, 2000. http://hdl.handle.net/10150/607705.
Full textRange to an orbiting satellite from a ground reference point (ground station) can be determined by measuring the round trip time for a waveform transmitted to the satellite and returned to the ground station (Turnaround Ranging) and more recently by using the Global Positioning System (GPS). This paper first summarizes and compares the two approaches. The paper then describes and analyzes a new turn-around ranging system which uses a flexible ranging waveform that provides spectral compatibility with existing Military, NASA, and Commercial satellite uplink/downlink signals.
Bhattacharjee, Nirjhar. "A Real-Time Data Acquisition and Digital Signal Processing System for Neuromonitoring." University of Cincinnati / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1445342703.
Full textPierre, Eric Y. "Reliable Use of Acquired and Simulated Signal Databases to Reduce MRI Acquisition Time." Case Western Reserve University School of Graduate Studies / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=case1404220001.
Full textJian-zhong, Qi, Gong Yan, and Song Peng. "Realization of Fast Acquisition for Spread Spectrum Signal Based on FFT." International Foundation for Telemetering, 2011. http://hdl.handle.net/10150/595763.
Full textAcquisition based on Fast Fourier Transform (FFT) can acquire Pseudo-random code phase quickly and improve the performance of the satellite navigation receivers. In the paper Real-time receiver adopts the FPGA to realize the function of FFT and uses DSP processor to control the implementation process of Acquisition. For increasing the sensitivity of Acquisition incoherent accumulation were used in the process. Also, in the paper we have discussed the process method for decreasing the negative influence of signal power changes and carrier's Doppler frequency.
Ammendrup, Katrin. "Framework for Wireless Acquisition of Surface EMG and Real-Time Control." Thesis, KTH, Medicinteknik och hälsosystem, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-233311.
Full textMorenius, Boel. "Data acquisition and post-processing of a high time resolution local phase signal at the Westinghouse FRIGG facility." Thesis, KTH, Fysik, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-169621.
Full textCorreia, Fábio Gonçalves. "Quality control of ultra high resolution seismic data acquisition in real-time." Master's thesis, Universidade de Aveiro, 2017. http://hdl.handle.net/10773/22007.
Full textA aquisicção de grandes volumes de dados durante uma campanha sísmica exige, necessariamente, mais tempo para o controlo de qualidade (QC). No entanto, o tempo de QC não pode ser extendido devido a limitações do tempo de operação, tendo de ser feito mais rápido, o que pode comprometer a qualidade. A alternativa, alocar mais pessoas e recursos para QC e melhorar a eficiência, leva a aumentos de custo e à necessidade de maiores embarcações. Além disso, o QC tradicional requer tempo de análise após a aquisição, atrasando a desmobilização da embarcação, aumentando assim os custos da aquisição. A solução proposta passou pelo desenvolvimento de um QC automático em tempo real eficiente, testando a Comparação Espetral e o Atributo Razão Sinal-Ruído - ferramentas desenvolvidas no software SPW, usado para processamento de dados sísmicos. Usando este software foi testada a deteção e identificação de dados de fraca qualidade através das ferramentas de QC automáticas e os seus parâmetros ajustados para incluir pelo menos todos os maus registos encontrados manualmente. Foi também feita a deteção e identificação de vários problemas encontrados durante uma campanha de aquisição, tais como fortes ondulações e respetiva direção, o ruído de esteira provocado pelas hélices da embarcação e consequente Trouser’s Effect e mau funcionamento das fontes ou dos recetores. A deteção antecipada destes problemas pode permitir a sua resolução atempada, não comprometendo a aquisição dos dados. Foram feitos vários relatórios para descrever problemas encontrados durante os testes de versões beta do software SPW e os mesmos reportados à equipa da Parallel Geoscience, que atualizou o software de forma a preencher os requisitos necessários ao bom funcionamento do QC em tempo real. Estas atualizações permitiram o correto mapeamento dos headers dos ficheiros, otimização da velocidade de análise das ferramentas automáticas e correção de erros em processamento dos dados em multi-thread, para evitar atrasos entre o QC em tempo real e a aquisição dos dados, adaptação das ferramentas à leitura de um número variável de assinaturas das fontes, otimização dos limites de memória gráfica e correção de valores anómalos de semelhança espetral. Algumas atualizações foram feitas através da simulação da aquisição de dados na empresa, de forma a efetuar alguns ajustes e posteriormente serem feitos testes numa campanha futura. A parametrização destas ferramentas foi alcançada, assegurando-se assim a correta deteção automática dos vários problemas encontrados durante a campanha de aquisição usada para os testes, o que levará à redução do tempo gasto na fase de QC a bordo e ao aumento da sua eficácia.
The acquisition of larger volumes of seismic data during a survey requires, necessarily, more time for quality control (QC). Despite this, QC cannot be extended due operational time constraints and must be done faster, compromising its efficiency and consequently the data quality. The alternative, to allocate more people and resources for QC to improve efficiency, leads to prohibitive higher costs and larger vessel requirements. Therefore, traditional QC methods for large data require extended standby times after data acquisition, before the vessel can be demobilized, increasing the cost of survey. The solution tested here consisted on the development of an efficient Real- Time QC by testing Spectral Comparison and Signal to Noise Ratio Attribute (tools developed for the SPW seismic processing software). The detection and identification of bad data by the automatic QC tools was made and the parameters adapted to include at least all manual QC flags. Also, the detection and identification of common problems during acquisition, such strong wave motion and its direction, strong propeller’s wash, trouser’s effect and malfunction in sources or receivers were carried out. The premature detection of these problems will allow to solve them soon enough to not compromise the data acquisition. Several problem reports from beta tests of SPW were transmitted to the Parallel Geoscience team, to be used as a reference to update the software and fulfil Real-Time QC requirements. These updates brought the correct mapping of data headers in files, optimization of data analysis speed along with multi-thread processing debug, to assure it will be running fast enough to avoid delays between acquisition and Real-Time QC, software design to read a variable number of source signatures, optimization of graphic memory limits and debugging of anomalous spectral semblance values. Some updates resulted from a data acquisition simulation that was set up in the office, to make some adjustments to be later tested on an upcoming survey. The parameterization of these tools was finally achieved, assuring the correct detection of all major issues found during the survey, what will eventually lead to the reduction of time needed for QC stage on board, as also to the improvement of its efficiency.
Mody, Apurva Narendra. "Signal Acquisition and Tracking for Fixed Wireless Access Multiple Input Multiple Output Orthogonal Frequency Division Multiplexing." Diss., Georgia Institute of Technology, 2004. http://hdl.handle.net/1853/7624.
Full textWinstead, Michael L., and Karen J. Saenz. "A NEAR LAUNCH FLIGHT SAFETY SYSTEM UTILIZING TELEMETRY SIGNAL RADIO INTERFEROMETRY." International Foundation for Telemetering, 1997. http://hdl.handle.net/10150/607543.
Full textFlight Safety concerns increase proportionally with increasing missile performance. These concerns are greatest in the near launch arena where a missile has the greatest potential energy. Systems such as radar, GPS tracking systems, and optics are normally of limited use in this arena for a number of reasons. A system was required that would provide useful tracking data in the first few seconds of a missile launch. This system has met that requirement providing nominal path deviation data from the launcher out to as much as 120 seconds. The tracking system described herein uses the principle of radio interferometry to derive phase difference measurements between carefully spaced antennas. These measurements are transmitted to the Operational Display Facility and converted to a usable angular deviation plot for use by Flight Safety Personnel. This paper provides an elementary radio interferometer system background and discusses this particular system setup and use. Some detail is provided on the premission simulation and setup of the system as well as the real-time display setup and output of the final data product.
Pellegrino, Gregory S. "Design of a Low-Cost Data Acquisition System for Rotordynamic Data Collection." DigitalCommons@CalPoly, 2019. https://digitalcommons.calpoly.edu/theses/1978.
Full textBooks on the topic "Ranging signal acquisition time"
Hermosillo-Valadez, J. Real-time signal demodulation in a DSP-based electrical impedance tomography data acquisition system. Manchester: UMIST, 1994.
Find full textSorkin, David. Jewish Emancipation. Princeton University Press, 2019. http://dx.doi.org/10.23943/princeton/9780691164946.001.0001.
Full textRamani, Ramachandran, ed. Functional MRI. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780190297763.001.0001.
Full textGopinath, Sumanth, and Pwyll ap Siôn, eds. Rethinking Reich. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780190605285.001.0001.
Full textBook chapters on the topic "Ranging signal acquisition time"
Kast, C., M. Krenn, W. Aramphianlert, C. Hofer, O. C. Aszmann, and W. Mayr. "Modular Multi-channel Real-time Bio-signal Acquisition System." In International Conference on Advancements of Medicine and Health Care through Technology; 12th - 15th October 2016, Cluj-Napoca, Romania, 95–98. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-52875-5_21.
Full textPinti, A. "Real Time Acquisition and Signal Processing on Transputers Application to Electroencephalography." In Computing with T.Node Parallel Architecture, 115–33. Dordrecht: Springer Netherlands, 1991. http://dx.doi.org/10.1007/978-94-011-3496-5_9.
Full textLuu, Loc Gia, Nam Phuong Nguyen, and Toi Vo Van. "Design a Customizable Low-Cost, Matlab Based Wireless Data Acquisition System for Real-Time Physiological Signal Processing." In 6th International Conference on the Development of Biomedical Engineering in Vietnam (BME6), 313–17. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-4361-1_52.
Full textBansal, Dipali. "Real-time detection and processing of electromyography signal." In Real-Time Data Acquisition in Human Physiology, 83–109. Elsevier, 2021. http://dx.doi.org/10.1016/b978-0-12-822118-1.00005-9.
Full textBansal, Dipali. "Real-time detection and processing of electrocardiogram signal." In Real-Time Data Acquisition in Human Physiology, 111–43. Elsevier, 2021. http://dx.doi.org/10.1016/b978-0-12-822118-1.00003-5.
Full textEslami, Akbar. "Real-Time FMCW Radar X-Band Signal Acquisition and Visualization." In Strategic Innovations and Interdisciplinary Perspectives in Telecommunications and Networking, 165–79. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-8188-8.ch008.
Full text"Converters For Different Variables To Frequency-Time Parameters Of The Electric Signal." In Data Acquisition and Signal Processing for Smart Sensors, 29–50. Chichester, UK: John Wiley & Sons, Ltd, 2002. http://dx.doi.org/10.1002/0470846100.ch2.
Full textKatsibas, Theodoros, Theodoros Semertzidis, Xavier Lacondemine, and Nikos Grammalidis. "Real-Time Signal Acquisition, High Speed Processing and Frequency Analysis in Modern Air Data Measurement Instruments." In Recent Advances in Signal Processing. InTech, 2009. http://dx.doi.org/10.5772/7431.
Full textMertens, Ph, B. Becks, and M. Korten. "A FAST SIGNAL ACQUISITION SYSTEM FOR THE TIME RESOLVED LYMAN-ALPHA DIAGNOSTIC ON TEXTOR." In Fusion Technology 1986, 1473–78. Elsevier, 1986. http://dx.doi.org/10.1016/b978-1-4832-8376-0.50204-7.
Full textRucks-Ahidiana, Zawadi. "Navigating the Lack of Face Time." In Cases on Critical and Qualitative Perspectives in Online Higher Education, 98–116. IGI Global, 2014. http://dx.doi.org/10.4018/978-1-4666-5051-0.ch006.
Full textConference papers on the topic "Ranging signal acquisition time"
Brand, Sebastian, Matthias Petzold, Peter Czurratis, and Peter Hoffrogge. "Extending Acoustic Microscopy for Comprehensive Failure Analysis Applications." In ISTFA 2010. ASM International, 2010. http://dx.doi.org/10.31399/asm.cp.istfa2010p0084.
Full textXinyu Dou, Huaqing Liang, Jiayi Fan, Yang Liu, and Rui Zhang. "A signal acquisition and processing system for cluster wells ranging." In 2017 IEEE 2nd International Conference on Opto-Electronic Information Processing (ICOIP). IEEE, 2017. http://dx.doi.org/10.1109/optip.2017.8030692.
Full textEng, Wilson, Max Kim, Anand Ramasubramanian, and Sang-Joon John Lee. "A Modular Test Platform for Micromechanical Tensile Testing of Soft Biomaterials." In ASME 2018 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/imece2018-87259.
Full textGholami, Mohammad Reza, Satyam Dwivedi, Magnus Jansson, and Peter Handel. "Ranging without time stamps exchanging." In ICASSP 2015 - 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2015. http://dx.doi.org/10.1109/icassp.2015.7178718.
Full textAlbuquerque, Glauberto L. A., Carlos Valderrama, Fabricio Costa Silva, and Samuel Xavier-de-Souza. "Time-effective GPS time domain signal Acquisition Algorithm." In 2016 International Conference on Localization and GNSS (ICL-GNSS). IEEE, 2016. http://dx.doi.org/10.1109/icl-gnss.2016.7533687.
Full textGuner, Mustafa, and Burcu Erkmen. "Real-Time, Portable EEG Signal Acquisition System." In 2018 Medical Technologies National Congress (TIPTEKNO). IEEE, 2018. http://dx.doi.org/10.1109/tiptekno.2018.8596984.
Full textSarafinas, George A., Alan J. Stein, and Kenneth J. Bisson. "Real-Time Signal Processing Data Acquisition Subsystem." In O-E/Fiber LASE '88, edited by Richard J. Becherer. SPIE, 1989. http://dx.doi.org/10.1117/12.960239.
Full textNarciso, S. "Signal acquisition using AXIe." In 2010 17th Real-Time Conference - IEEE-NPSS Technical Committee on Computer Applications in Nuclear and Plasma Sciences (RT 2010). IEEE, 2010. http://dx.doi.org/10.1109/rtc.2010.5750388.
Full textZhang, Zijing, Yuan Zhao, Jiandong Zhang, longzhu Cen, Shuo Li, Yifei Sun, and Feng Wang. "Ranging accuracy improvement of time-correlated signal-photon counting lidar." In LIDAR Imaging Detection and Target Recognition 2017, edited by Yueguang Lv, Jianzhong Su, Wei Gong, Jian Yang, Weimin Bao, Weibiao Chen, Zelin Shi, Jindong Fei, Shensheng Han, and Weiqi Jin. SPIE, 2017. http://dx.doi.org/10.1117/12.2292991.
Full textSun, Leyuan, Yuan Gao, Wende Huang, Ping Li, Yifan Zhou, and Jun Yang. "Autonomous Time Synchronization Using BeiDou Inter-satellite Link Ranging." In 2019 IEEE International Conference on Signal, Information and Data Processing (ICSIDP). IEEE, 2019. http://dx.doi.org/10.1109/icsidp47821.2019.9173506.
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