Academic literature on the topic 'Radar techniques'
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Journal articles on the topic "Radar techniques"
Djordjevic, Ivan B. "On Entanglement-Assisted Multistatic Radar Techniques." Entropy 24, no. 7 (July 17, 2022): 990. http://dx.doi.org/10.3390/e24070990.
Full textIsom, Bradley, Robert Palmer, Redmond Kelley, John Meier, David Bodine, Mark Yeary, Boon-Leng Cheong, Yan Zhang, Tian-You Yu, and Michael I. Biggerstaff. "The Atmospheric Imaging Radar: Simultaneous Volumetric Observations Using a Phased Array Weather Radar." Journal of Atmospheric and Oceanic Technology 30, no. 4 (April 1, 2013): 655–75. http://dx.doi.org/10.1175/jtech-d-12-00063.1.
Full textLakshmanan, Valliappa, Travis Smith, Kurt Hondl, Gregory J. Stumpf, and Arthur Witt. "A Real-Time, Three-Dimensional, Rapidly Updating, Heterogeneous Radar Merger Technique for Reflectivity, Velocity, and Derived Products." Weather and Forecasting 21, no. 5 (October 1, 2006): 802–23. http://dx.doi.org/10.1175/waf942.1.
Full textTrim, R. M. "Modern Radar Techniques." IEE Review 34, no. 2 (1988): 86. http://dx.doi.org/10.1049/ir:19880027.
Full textBaggaley, W. J. "RADAR Observations." Highlights of Astronomy 11, no. 2 (1998): 1015–16. http://dx.doi.org/10.1017/s1539299600019481.
Full textJohnston, Paul E., James R. Jordan, Allen B. White, David A. Carter, David M. Costa, and Thomas E. Ayers. "The NOAA FM-CW Snow-Level Radar." Journal of Atmospheric and Oceanic Technology 34, no. 2 (February 2017): 249–67. http://dx.doi.org/10.1175/jtech-d-16-0063.1.
Full textSekine, Matsuo. "Advances in Radar Techniques." IEEJ Transactions on Fundamentals and Materials 125, no. 1 (2005): 15–16. http://dx.doi.org/10.1541/ieejfms.125.15.
Full textTrim, R. M. "Advances in Radar Techniques." Electronics and Power 32, no. 1 (1986): 77. http://dx.doi.org/10.1049/ep.1986.0041.
Full textStove, A. G. "Linear FMCW radar techniques." IEE Proceedings F Radar and Signal Processing 139, no. 5 (1992): 343. http://dx.doi.org/10.1049/ip-f-2.1992.0048.
Full textSuzuki, T. "Radar beamwidth reduction techniques." IEEE Aerospace and Electronic Systems Magazine 13, no. 5 (May 1998): 43–48. http://dx.doi.org/10.1109/62.673742.
Full textDissertations / Theses on the topic "Radar techniques"
Frankford, Mark Thomas. "EXPLORATION OF MIMO RADAR TECHNIQUES WITH A SOFTWARE-DEFINED RADAR." The Ohio State University, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=osu1306526246.
Full textRavichandran, Kulasegaram. "Radar imaging using two-dimensional synthetic aperture radar (SAR) techniques /." abstract and full text PDF (UNR users only), 2007. http://0-gateway.proquest.com.innopac.library.unr.edu/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:1446797.
Full textLibrary also has microfilm. Ann Arbor, Mich. : ProQuest Information and Learning Company, [2008]. 1 microfilm reel ; 35 mm. Online version available on the World Wide Web.
Chen, Hung-Ruei. "FMCW radar jamming techniques and analysis." Thesis, Monterey California. Naval Postgraduate School, 2013. http://hdl.handle.net/10945/37597.
Full textFrequency-Modulated Continuous-Wave (FMCW) radar is a type of Low Probability of Intercept radar system that is being heavily investigated in the military. Not only is its transmission difficult to be detected by enemy intercept receivers, but FMCW radar has the inherent capability of increasing coherent signal power while suppressing noise power during its receive signal processing. This thesis investigates the jamming effectiveness of selected jamming waveforms by injecting the interfering signals into the Lab-Volt Radar Training System (LVRTS). The jamming effect is evaluated based on the change in beat frequency due to the jamming. Due to the hardware limitations of the LVRTS, a MATLAB simulation model is also constructed for advanced electronic attack testing. The MATLAB model emulates the FMCW emitter digital signal processing response to coherent and non-coherent jamming signals under an anti-ship capable missile scenario. The simulation output is the target range and range rate, whose error measures quantify the jamming effectiveness. From the standpoint of electronic warfare, related subjects such as electronic warfare support measures and FMCW electronic protection are also discussed.
Sexton, G. "Ground probing radar signal processing techniques." Thesis, University of Newcastle Upon Tyne, 1985. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.354404.
Full textPanzner, Berthold [Verfasser]. "Synthetic Aperture Radar Focusing Techniques for Subsurface Radar Imaging / Berthold Panzner." München : Verlag Dr. Hut, 2013. http://d-nb.info/1031844910/34.
Full textRossetti, Gaia. "Mathematical optimization techniques for cognitive radar networks." Thesis, Loughborough University, 2018. https://dspace.lboro.ac.uk/2134/33419.
Full textNanding, N. "Hydrological applications of radar-raingauge rainfall merging techniques." Thesis, University of Bristol, 2016. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.715769.
Full textFrench, A. "Target recognition techniques for multifunction phased array radar." Thesis, University College London (University of London), 2010. http://discovery.ucl.ac.uk/19675/.
Full textPennington, Jason R. "Radar Signal Characteristic Extraction with FFT-Based Techniques." Miami University / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=miami1306201663.
Full textLellouch, Gabriel. "Waveform design and processing techniques in OFDM radar." Doctoral thesis, University of Cape Town, 2015. http://hdl.handle.net/11427/16678.
Full textWith the advent of powerful digital hardware, software defined radio and radar have become an active area of research and development. This in turn has given rise to many new research directions in the radar community, which were previously not comprehensible. One such direction is the recently investigated OFDM radar, which uses OFDM waveforms instead of the classic linear frequency mod- ulated waveforms. Being a wideband signal, the OFDM symbol offers spectral efficiency along with improved range resolution, two enticing characteristics for radar. Historically a communication signal, OFDM is a special form of multi- carrier modulation, where a single data stream is transmitted over a number of lower rate carriers. The information is conveyed via sets of complex phase codes modulating the phase of the carriers. At the receiver, a demodulation stage estimates the transmitted phase codes and the information in the form of binary words is finally retrieved. In radar, the primary goal is to detect the presence of targets and possibly estimate some of their features through measurable quantities, e.g. range, Doppler, etc. Yet, being a young waveform in radar, more understanding is required to turn it into a standard radar waveform. Our goal, with this thesis, is to mature our comprehension of OFDM for radar and contribute to the realm of OFDM radar. First, we develop two processing alternatives for the case of a train of wideband OFDM pulses. In this, our first so-called time domain solution consists in applying a matched filter to compress the received echoes in the fast time before applying a fast Fourier transform in the slow time to form the range Doppler image. We motivate this approach after demonstrating that short OFDM pulses are Doppler tolerant. The merit of this approach is to conserve existing radar architectures while operating OFDM waveforms. The second so-called frequency domain solution that we propose is inspired from communication engineering research since the received echoes are tumbled in the frequency domain. After several manipulations, the range Doppler image is formed. We explain how this approach allows to retrieve an estimate of the unambiguous radial velocity, and propose two methods for that. The first method requires the use of identical sequence (IS) for the phase codes and is, as such, binding, while the other method works irrespective of the phase codes. Like the previous technique, this processing solution accommodates high Doppler frequencies and the degradation in the range Doppler image is negligible provided that the spacing between consecutive subcarriers is sufficient. Unfortunately, it suffers from the issue of intersymbol interference (ISI). After observing that both solutions provide the same processing gain, we clarify the constraints that shall apply to the OFDM signals in either of these solutions. In the first solution, special care has been employed to design OFDM pulses with low peak-to-mean power ratio (PMEPR) and low sidelobe level in the autocorrelation function. In the second solution, on the other hand, only the constraint of low PMEPR applies since the sidelobes of the scatterer characteristic function in the range Doppler image are Fourier based. Then, we develop a waveform-processing concept for OFDM based stepped frequency waveforms. This approach is intended for high resolution radar with improved low probability of detection (LPD) characteristics, as we propose to employ a frequency hopping scheme from pulse to pulse other than the conventional linear one. In the same way we treated our second alternative earlier, we derive our high range resolution processing in matrix terms and assess the degradation caused by high Doppler on the range profile. We propose using a bank of range migration filters to retrieve the radial velocity of the scatterer and realise that the issue of classical ambiguity in Doppler can be alleviated provided that the relative bandwidth, i.e. the total bandwidth covered by the train of pulses divided by the carrier frequency, is chosen carefully. After discussing a deterministic artefact caused by frequency hopping and the means to reduce it at the waveform design or processing level, we discuss the benefit offered by our concept in comparison to other standard wideband methods and emphasize on its LPD characteristics at the waveform and pulse level. In our subsequent analysis, we investigate genetic algorithm (GA) based techniques to finetune OFDM pulses in terms of radar requirements viz., low PMEPR only or low PMEPR and low sidelobe level together, as evoked earlier. To motivate the use of genetic algorithms, we establish that existing techniques are not exible in terms of the OFDM structure (the assumption that all carriers are present is always made). Besides, the use of advanced objective functions suited to particular configurations (e.g. low sidelobe level in proximity of the main autocorrelation peak) as well as the combination of multiple objective functions can be done elegantly with GA based techniques. To justify that solely phase codes are used for our optimisation(s), we stress that the weights applied to the carriers composing the OFDM signal can be spared to cope with other radar related challenges and we give an example with a case of enhanced detection. Next, we develop a technique where we exploit the instantaneous wideband trans- mission to characterise the type of the canonical scatterers that compose a target. Our idea is based on the well-established results from the geometrical theory of diffraction (GTD), where the scattered energy varies with frequency. We present the problem related to ISI, stress the need to design the transmitted pulse so as to reduce this risk and suggest having prior knowledge over the scatterers relative positions. Subsequently, we develop a performance analysis to assess the behaviour of our technique in the presence of additive white Gaussian noise (AWGN). Then, we demonstrate the merit of integrating over several pulses to improve the characterisation rate of the scatterers. Because the scattering centres of a target resonate variably at different frequencies, frequency diversity is another enticing property which can be used to enhance the sensing performance. Here, we exploit this element of diversity to improve the classification function. We develop a technique where the classification takes place at the waveform design when few targets are present. In our case study, we have three simple targets. Each is composed of perfectly electrically conducting spheres for which we have exact models of the scattered field. We develop a GA based search to find optimal OFDM symbols that best discriminate one target against any other. Thereafter, the OFDM pulse used for probing the target in the scene is constructed by stacking the resulting symbols in time. After discussing the problem of finding the best frequency window to sense the target, we develop a performance analysis where our figure of merit is the overall probability of correct classification. Again, we prove the merit of integrating over several pulses to reach classification rates above 95%. In turn, this study opens onto new challenges in the realm of OFDM radar. We leave for future research the demonstration of the practical applicability of our novel concepts and mention manifold research axes, viz., a signal processing axis that would include methods to cope with inter symbol interference, range migration issues, methods to raise the ambiguity in Doppler when several echoes from distinct scatterers overlap in the case of our frequency domain processing solutions; an algorithmic axis that would concern the heuristic techniques employed in the design of our OFDM pulses. We foresee that further tuning might help speeding up our GA based algorithms and we expect that constrained multi- objective optimisation GA (MOO-GA) based techniques shall benefit the OFDM pulse design problem in radar. A system design axis that would account for the hardware components' behaviours, when possible, directly at the waveform design stage and would include implementation of the OFDM radar system.
Books on the topic "Radar techniques"
B, Scanlan M. J., ed. Modern radar techniques. London: Collins, 1987.
Find full text1944-, Clarke J., and Institution of Electrical Engineers, eds. Advances in radar techniques. London, UK: P. Peregrinus on behalf of the Institution of Electrical Engineers, 1985.
Find full textEngineers, Institution of Electrical, ed. Radar techniques using array antennas. London: Institution of Electrical Engineers, 2001.
Find full textClarke, J. Studies of primary radar techniques. Birmingham: University of Birmingham, 1987.
Find full textC, Currie Nicholas, ed. Radar reflectivity measurement: Techniques & applications. Norwood, MA: Artech House, 1989.
Find full textRadar techniques using array antennas. 2nd ed. Stevenage, Herts, United Kingdom: The Institution of Engineering and Technology, 2013.
Find full textEngineers, Institution of Electrical, and Knovel (Firm), eds. Radar techniques using array antennas. London: Institution of Electrical Engineers, 2001.
Find full textGaspare, Galati, and Institution of Electrical Engineers, eds. Advanced radar techniques and systems. London: Peter Peregrinus on behalf of the Institution of Electrical Engineers, 1993.
Find full text1927-, Barton David Knox, ed. Monopulse principles and techniques. 2nd ed. Boston: Artech House, 2011.
Find full textNebabin, V. G. Methods and techniques of radar recognition. Boston: Artech House, 1995.
Find full textBook chapters on the topic "Radar techniques"
Dahlberg, L. "Advanced Radar Techniques." In International Weather Radar Networking, 265–70. Dordrecht: Springer Netherlands, 1992. http://dx.doi.org/10.1007/978-94-011-2404-1_41.
Full textVinoy, K. J., and R. M. Jha. "Absorber Characterization Techniques." In Radar Absorbing Materials, 143–58. Boston, MA: Springer US, 1996. http://dx.doi.org/10.1007/978-1-4613-0473-9_5.
Full textTautz, Jürgen. "RoboBees and Radar Techniques." In Communication Between Honeybees, 95–109. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-99484-6_9.
Full textMahafza, Bassem R., and Robert J. Balla. "Radar Electronic Warfare Techniques." In Handbook of Radar Signal Analysis, 159–82. Boca Raton: Chapman and Hall/CRC, 2021. http://dx.doi.org/10.1201/9781315161402-5.
Full textArakelian, A. K. "Radar-Radiometer Correlative System." In Microwave Physics and Techniques, 419–24. Dordrecht: Springer Netherlands, 1997. http://dx.doi.org/10.1007/978-94-011-5540-3_43.
Full textWu, Jianqi. "Metric Wave Antenna Techniques." In Advanced Metric Wave Radar, 131–90. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-10-7647-3_6.
Full textHolm, William A. "Polarimetric Fundamentals and Techniques." In Principles of Modern Radar, 621–45. Boston, MA: Springer US, 1987. http://dx.doi.org/10.1007/978-1-4613-1971-9_20.
Full textWohlleben, R., H. Mattes, and Th Krichbaum. "Interferometric Techniques." In Interferometry in Radioastronomy and Radar Techniques, 25–33. Dordrecht: Springer Netherlands, 1991. http://dx.doi.org/10.1007/978-94-011-3702-7_6.
Full textReedy, Edward K. "Radar ECCM Considerations and Techniques." In Principles of Modern Radar, 681–99. Boston, MA: Springer US, 1987. http://dx.doi.org/10.1007/978-1-4613-1971-9_22.
Full textRandeu, Walter L. "New Weather Radar Techniques: Ready for Operational Use?" In Weather Radar Networking, 256–77. Dordrecht: Springer Netherlands, 1990. http://dx.doi.org/10.1007/978-94-009-0551-1_30.
Full textConference papers on the topic "Radar techniques"
"Radar Techniques." In 2019 14th International Conference on Advanced Technologies, Systems and Services in Telecommunications (TELSIKS). IEEE, 2019. http://dx.doi.org/10.1109/telsiks46999.2019.9002358.
Full textTurley, M. D. E. "Hybrid CFAR techniques for HF radar." In Radar Systems (RADAR 97). IEE, 1997. http://dx.doi.org/10.1049/cp:19971627.
Full textRabideau, Daniel J. "Nonadaptive MIMO radar techniques for reducing clutter." In 2008 IEEE Radar Conference (RADAR). IEEE, 2008. http://dx.doi.org/10.1109/radar.2008.4720929.
Full textMoreira, Alberto, Gerhard Krieger, Hauke Fiedler, Irena Hajnsek, Marwan Younis, Manfred Zink, and Marian Werner. "Advanced interferometric SAR techniques with TanDEM-X." In 2008 IEEE Radar Conference (RADAR). IEEE, 2008. http://dx.doi.org/10.1109/radar.2008.4720737.
Full textVouras, Peter, and Brian Freburger. "Application of adaptive beamforming techniques to HF radar." In 2008 IEEE Radar Conference (RADAR). IEEE, 2008. http://dx.doi.org/10.1109/radar.2008.4720868.
Full textGodrich, Hana, Alexander M. Haimovich, and Rick S. Blum. "Target localization techniques and tools for MIMO radar." In 2008 IEEE Radar Conference (RADAR). IEEE, 2008. http://dx.doi.org/10.1109/radar.2008.4720924.
Full textRangaswamy, Muralidhar. "Modern CFAR techniques in heterogeneous radar clutter scenarios." In 2008 IEEE Radar Conference (RADAR). IEEE, 2008. http://dx.doi.org/10.1109/radar.2008.4721155.
Full textTownsend, James D., Michael A. Saville, Seng M. Hongy, and Richard K. Martin. "Simulator for Velocity Gate Pull-Off electronic countermeasure techniques." In 2008 IEEE Radar Conference (RADAR). IEEE, 2008. http://dx.doi.org/10.1109/radar.2008.4720888.
Full textNewcombe, Chris, and Alessio Balleri. "Simulations of Waveform Diversity for Doppler Beam Sharpening techniques." In 2014 International Radar Conference (Radar). IEEE, 2014. http://dx.doi.org/10.1109/radar.2014.7060448.
Full textThomson, J. Alex L. "Wind Shear Detection: Pattern Recognition Techniques." In Coherent Laser Radar. Washington, D.C.: Optica Publishing Group, 1991. http://dx.doi.org/10.1364/clr.1991.fb3.
Full textReports on the topic "Radar techniques"
Morse, Dewey J. Advanced Radar Testing Techniques II. Fort Belvoir, VA: Defense Technical Information Center, September 1988. http://dx.doi.org/10.21236/ada205214.
Full textHaug, B. T. Microwave Radar Techniques Applied to Gun Accuracy Measurements. Fort Belvoir, VA: Defense Technical Information Center, April 1987. http://dx.doi.org/10.21236/ada185745.
Full textLee, Roger. Radar Signal/Image Processing Enhancements using Alpha-Stable Techniques. Fort Belvoir, VA: Defense Technical Information Center, June 1999. http://dx.doi.org/10.21236/ada367774.
Full textChan, B. L., J. D. Young, and R. C. Rudduck. Wideband Electromagnetic Scattering Program. Fourier-Based Radar Imaging Techniques. Fort Belvoir, VA: Defense Technical Information Center, September 1993. http://dx.doi.org/10.21236/ada282540.
Full textKnittle, C. D., N. E. Doren, and C. V. Jakowatz. A comparison of spotlight synthetic aperture radar image formation techniques. Office of Scientific and Technical Information (OSTI), October 1996. http://dx.doi.org/10.2172/399697.
Full textFoster, Thomas. Application of Pattern Recognition Techniques for Early Warning Radar (EWR) Discrimination. Fort Belvoir, VA: Defense Technical Information Center, January 1995. http://dx.doi.org/10.21236/ada298895.
Full textArellano, J., J. M. Hernandez, and J. Brase. Impulse radar imaging for dispersive concrete using inverse adaptive filtering techniques. Office of Scientific and Technical Information (OSTI), May 1993. http://dx.doi.org/10.2172/10117045.
Full textPlotz, Gary, and Serena Dibble. Applying Model Abstraction Techniques to the Advanced Low Altitude Radar Model (ALARM). Fort Belvoir, VA: Defense Technical Information Center, October 2002. http://dx.doi.org/10.21236/ada408085.
Full textLing, Hao. Radar Image Enhancement, Feature Extraction and Motion Compensation Using Joint Time-Frequency Techniques. Fort Belvoir, VA: Defense Technical Information Center, October 2001. http://dx.doi.org/10.21236/ada390630.
Full textRobinson, S. D., B. J. Moorman, A. S. Judge, and S. R. Dallimore. The characterization of massive ground ice at Yaya Lake, Northwest Territories using radar stratigraphy techniques. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1993. http://dx.doi.org/10.4095/134219.
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