Relevant bibliographies by topics / Low probability of intercept radar

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Low probability of intercept radar'

Author: Grafiati
Published: 4 June 2021
Last updated: 2 March 2023

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Low probability of intercept radar.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Journal articles on the topic "Low probability of intercept radar"

1

Stove, A. G., A. L. Hume, and C. J. Baker. "Low probability of intercept radar strategies." IEE Proceedings - Radar, Sonar and Navigation 151, no. 5 (2004): 249. http://dx.doi.org/10.1049/ip-rsn:20041056.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Savci, Kubilay, Gaspare Galati, and Gabriele Pavan. "Low-PAPR Waveforms with Shaped Spectrum for Enhanced Low Probability of Intercept Noise Radars." Remote Sensing 13, no. 12 (June 17, 2021): 2372. http://dx.doi.org/10.3390/rs13122372.

Full text
Abstract:
Noise radars employ random waveforms in their transmission as compared to traditional radars. Considered as enhanced Low Probability of Intercept (LPI) radars, they are resilient to interference and jamming and less vulnerable to adversarial exploitation than conventional radars. At its simplest, using a random waveform such as bandpass Gaussian noise as a probing signal provides limited radar performance. After a concise review of a particular noise radar architecture and related correlation processing, this paper justifies the rationale for having synthetic (tailored) noise waveforms and proposes the Combined Spectral Shaping and Peak-to-Average Power Reduction (COSPAR) algorithm, which can be utilized for synthesizing noise-like sequences with a Taylor-shaped spectrum under correlation sidelobe level constraints and assigned Peak-to-Average-Power-Ratio (PAPR). Additionally, the Spectral Kurtosis measure is proposed to evaluate the LPI property of waveforms, and experimental results from field trials are reported.
APA, Harvard, Vancouver, ISO, and other styles
3

Shi, Chenguang, Wei Qiu, Fei Wang, Sana Salous, and Jianjiang Zhou. "Stackelberg Game-Theoretic Low Probability of Intercept Performance Optimization for Multistatic Radar System." Electronics 8, no. 4 (April 2, 2019): 397. http://dx.doi.org/10.3390/electronics8040397.

Full text
Abstract:
In this paper, the problem of Stackelberg game-theoretic low probability of intercept (LPI) performance optimization in multistatic radar system is investigated. The goal of the proposed LPI optimization strategy is to minimize the transmitted power of each radar while satisfying a predetermined signal-to-interference-plus-noise ratio (SINR) requirement for target detection. Firstly, a single-leader multi-follower Stackelberg game is adopted to formulate the LPI optimization problem of multistatic radar system. In the considered game model, the hostile intercept receiver plays a role of leader, who decides the prices of power resource first through the maximization of its own utility function. The multiple radars are followers to compete with each other in a non-cooperative game according to the imposed prices from the intercept receiver subsequently. Then, the Nash equilibrium (NE) for the considered game model is derived, and the existence and uniqueness of the NE are analytically proved. Furthermore, a pricing-based distributed iterative power control algorithm is proposed. Finally, some simulation examples are provided to demonstrate that the proposed scheme has remarkable potential to enhance the LPI performance of the multistatic radar system.
APA, Harvard, Vancouver, ISO, and other styles
4

Devi, M. Rajani. "Low Probability of Intercept (LPI) Radar Signal Identification Techniques." Bioscience Biotechnology Research Communications 14, no. 5 (June 15, 2021): 365–73. http://dx.doi.org/10.21786/bbrc/14.5/63.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Basit, Abdul, Ijaz Mansoor Qureshi, Wasim Khan, Ihsan Ulhaq, and Shafqat Ullah Khan. "Hybridization of Cognitive Radar and Phased Array Radar Having Low Probability of Intercept Transmit Beamforming." International Journal of Antennas and Propagation 2014 (2014): 1–11. http://dx.doi.org/10.1155/2014/129172.

Full text
Abstract:
A novel design of a cognitive radar (CR) hybridized with a phased array radar (PAR) having a low probability of intercept (LPI) transmit beam forming is proposed. PAR directed high gain property reveals its position to interceptors. Hence, the PAR high gain scanned beam patterns, over the entire surveillance region, are spoiled to get the series of low gain basis patterns. For unaffected array detection performance, these basis patterns are linearly combined to synthesize the high gain beam pattern in the desired direction using the set of weight. Genetic algorithm (GA) based evolutionary computing technique finds these weights offline and stores to memory. The emerging CR technology, having distinct properties (i.e., information feedback, memory, and processing at receiver and transmitter), is hybridized with PAR having LPI property. The proposed radar receiver estimates the interceptor range and the direction of arrival (DOA), using the extended Kalman filter (EKF) and the GA, respectively, and sends as feedback to transmitter. Selector block in transmitter gets appropriate weights from memory to synthesize the high gain beam pattern in accordance with the interceptor range and the direction. Simulations and the results validate the ability of the proposed radar.
APA, Harvard, Vancouver, ISO, and other styles
6

Eskelinen, P. "Detecting and Classifying Low Probability of Intercept Radar [Book Review]." IEEE Aerospace and Electronic Systems Magazine 19, no. 5 (May 2004): 42–44. http://dx.doi.org/10.1109/maes.2004.1301226.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Key, E. L. "Detecting and classifying low probability of intercept radar [Book Review]." IEEE Aerospace and Electronic Systems Magazine 19, no. 6 (June 2004): 39–41. http://dx.doi.org/10.1109/maes.2004.1308837.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Galati, Gaspare, Gabriele Pavan, Kubilay Savci, and Christoph Wasserzier. "Counter-Interception and Counter-Exploitation Features of Noise Radar Technology." Remote Sensing 13, no. 22 (November 9, 2021): 4509. http://dx.doi.org/10.3390/rs13224509.

Full text
Abstract:
In defense applications, the main features of radars are the Low Probability of Intercept (LPI) and the Low Probability of Exploitation (LPE). The counterpart uses more and more capable intercept receivers and signal processors thanks to the ongoing technological progress. Noise Radar Technology (NRT) is probably a very effective answer to the increasing demand for operational LPI/LPE radars. The design and selection of the radiated waveforms, while respecting the prescribed spectrum occupancy, has to comply with the contrasting requirements of LPI/LPE and of a favorable shape of the ambiguity function. Information theory seems to be a “technologically agnostic” tool to attempt to quantify the LPI/LPE capability of noise waveforms with little, or absent, a priori knowledge of the means and the strategies used by the counterpart. An information theoretical analysis can lead to practical results in the design and selection of NRT waveforms.
APA, Harvard, Vancouver, ISO, and other styles
9

Song, Yuxiao, Yu Wang, Jingyang Xie, Yiming Yang, Biao Tian, and Shiyou Xu. "Ultra-Low Sidelobe Waveforms Design for LPI Radar Based on Joint Complementary Phase-Coding and Optimized Discrete Frequency-Coding." Remote Sensing 14, no. 11 (May 28, 2022): 2592. http://dx.doi.org/10.3390/rs14112592.

Full text
Abstract:
In this paper, in order to reduce the probability of the radar waveform intercepted by the passive detection system, the time-bandwidth product of the radar waveform is increased, and the detection probability of the radar waveform to the target is improved. This paper tackles the holographic RF stealth radar and proposes a joint coding waveform based on the linear frequency modulation (LFM) waveform. Joint coding uses complementary codes to perform phase-coding, and combines the codewords optimized by genetic algorithm in order to perform discrete frequency-coding waveform. The joint coding waveform model is theoretically analyzed, and the ambiguity function, pulse compression and target detection probability of the joint coding waveform are obtained by numerical simulation. In addition, the complexity of the algorithm and the low probability of intercept (LPI) characteristic of the joint coding waveform are analyzed. The results show that the joint coding waveform has an approximate “pushpin” ambiguity function, ultra-low sidelobe characteristics, better RF stealth and target detection performance. Finally, it has good application prospects in the current battlefield environment.
APA, Harvard, Vancouver, ISO, and other styles
10

Stevens, Daniel L., and Stephanie A. Schuckers. "Analysis of Low Probability of Intercept Radar Signals Using the Reassignment Method." American Journal of Engineering and Applied Sciences 8, no. 1 (January 1, 2015): 26–47. http://dx.doi.org/10.3844/ajeassp.2015.26.47.

Full text
APA, Harvard, Vancouver, ISO, and other styles
More sources

Dissertations / Theses on the topic "Low probability of intercept radar"

1

Denk, Aytug. "Detection and jamming low probability of intercept (LPI) radars." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2006. http://library.nps.navy.mil/uhtbin/hyperion/06Sep%5FDenk.pdf.

Full text
Abstract:
Thesis (M.S. in Systems Engineering)--Naval Postgraduate School, September 2006.
Thesis Advisor(s): Edward Fisher. "September 2006." Includes bibliographical references (p. 101-104). Also available in print.
APA, Harvard, Vancouver, ISO, and other styles
2

Gau, Jen-Yu. "Analysis of low probability of intercept (LPI) radar signals using the Wigner Distribution." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2002. http://library.nps.navy.mil/uhtbin/hyperion-image/02sep%5FGau.pdf.

Full text
Abstract:
Thesis (M.S. in Systems Engineering)--Naval Postgraduate School, September 2002.
Thesis advisor(s): Phillip E. Pace, Herschel H. Loomis, Jr. Includes bibliographical references (p. 145-146). Also available online.
APA, Harvard, Vancouver, ISO, and other styles
3

Lima, Antonio F. "Analysis of low probability of intercept (LPI) radar signals using cyclostationary processing." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2002. http://library.nps.navy.mil/uhtbin/hyperion-image/02sep%5FLima.pdf.

Full text
Abstract:
Thesis (M.S. in Systems Engineering)--Naval Postgraduate School, September 2002.
Thesis advisor(s): Phillip E. Pace, Herschel H. Loomis. Includes bibliographical references (p. 159-160). Also available online.
APA, Harvard, Vancouver, ISO, and other styles
4

Persson, Christer N. E. "Classification and analysis of low probability of intercept radar signals using image processing." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2003. http://library.nps.navy.mil/uhtbin/hyperion-image/03sep%5FPersson.pdf.

Full text
Abstract:
Thesis (M.S. in Systems Engineering and M.S. in Engineering Science (Electrical Engineering))--Naval Postgraduate School, September 2003.
Thesis advisor(s): Phillip E. Pace, D. Curtis Schleher. Includes bibliographical references (p. 125-126). Also available online.
APA, Harvard, Vancouver, ISO, and other styles
5

Jarpa, Pedro F. "Quantifying the differences in low probability of intercept radar waveforms using quadrature mirror filtering." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2002. http://library.nps.navy.mil/uhtbin/hyperion-image/02sep%5FJarpa.pdf.

Full text
Abstract:
Thesis (M.S.: Electrical Engineer)--Naval Postgraduate School, September 2002.
Thesis advisor(s): Phillip E. Pace, Herschel H. Loomis, Jr. Includes bibliographical references (p. 151-152). Also available online.
APA, Harvard, Vancouver, ISO, and other styles
6

Taboada, Fernando L. "Detection and classification of low probability of intercept radar signals using parallel filter arrays and higher order statistics." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2002. http://library.nps.navy.mil/uhtbin/hyperion-image/02sep%5FTaboada.pdf.

Full text
Abstract:
Thesis (M.S. in Systems Engineering)--Naval Postgraduate School, September 2002.
Thesis advisor(s): Phillip E. Pace, Herschel H. Loomis Jr. Includes bibliographical references (p. 269-270). Also available online.
APA, Harvard, Vancouver, ISO, and other styles
7

Brown, Dane A. "ELINT signal processing on reconfigurable computers for detection and classification of LPI Emitters." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2006. http://library.nps.navy.mil/uhtbin/hyperion/06Jun%5FBrown.pdf.

Full text
Abstract:
Thesis (M.S. in Electrical Engineering)--Naval Postgraduate School, June 2006.
Thesis Advisor(s): Douglas J. Fouts. "June 2006." Includes bibliographical references (p. 83). Also available in print.
APA, Harvard, Vancouver, ISO, and other styles
8

Grancharova, Mila. "Representation Learning for Modulation Recognition of LPI Radar Signals Through Clustering." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-283194.

Full text
Abstract:
Today, there is a demand for reliable ways to perform automatic modulation recognition of Low Probability of Intercept (LPI) radar signals, not least in the defense industry. This study explores the possibility of performing automatic modulation recognition on these signals through clustering and more specifically how to learn representations of input signals for this task. A semi-supervised approach using a bootstrapped convolutional neural network classifier for representation learning is proposed. A comparison is made between training the representation learner on raw time-series and on spectral representations of the input signals. It is concluded that, overall, the system trained on spectral representations performs better, though both approaches show promise and should be explored further. The proposed system is tested both on known modulation types and on previously unseen modulation types in the task of novelty detection. The results show that the system can successfully identify known modulation types with adjusted mutual information of 0.86 for signal-to-noise ratios ranging from -10 dB to 10 dB. When introducing previously unseen modulations, up to six modulations can be identified with adjusted mutual information above 0.85. Furthermore, it is shown that the system can learn to separate LPI radar signals from telecom signals which are present in most signal environments.
Idag finns ett behov av pålitlig automatiserad modulationsigenkänning (AMR) av Low Probability of Inercept (LPI)-radarsignaler, inte minst hos försvarsindustrin. Denna studie utforskar möjligheten att utföra AMR av dessa signaler genom klustring och mer specifikt hur man bör lära in representationer av signalerna i detta syfte. En halvövervakad inlärningsmetod som använder en klassificerare baserad på faltningsnätverk föreslås. En jämförelse görs mellan ett system som tränar för representationsinlärning på råa tidsserier och ett system som tränar på spektrala representationer av signalerna. Resultaten visar att systemet tränat på spektrala representationer på det stora hela presterar bättre, men båda metoderna visar lovande resultat och bör utforskas vidare. Systemet testas på signaler från både kända och för systemet tidigare okända modulationer i syfte att pröva förmågan att upptäcka nya typer av modulationer. Systemet identifierar kända modulationer med adjusted mutual information på 0.86 i brusnivåer från -10 dB till 10 dB. När tidigare okända modulationer introduceras till systemet ligger adjusted mutual information över 0.85 för upp till sex modulationer. Studien visar dessutom att systemet kan lära sig skilja LPI-radarsignaler från telekommunikationssignaler som är vanliga i de flesta signalmiljöer.
APA, Harvard, Vancouver, ISO, and other styles
9

Park, Joonho D. Miller David J. "A study on the feasibility of low probability of intercept sonar." [University Park, Pa.] : Pennsylvania State University, 2009. http://etda.libraries.psu.edu/theses/approved/WorldWideIndex/ETD-4762/index.html.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Belcher, Robert W. "Extremely High Frequency (EHF) Low Probability of Intercept (LPI) communication applications." Thesis, Monterey, California : Naval Postgraduate School, 1990. http://handle.dtic.mil/100.2/ADA226653.

Full text
Abstract:
Thesis (M.S. in Telecommunications Systems Management)--Naval Postgraduate School, March 1990.
Thesis Advisor(s): Schwendtner, Thomas A. Second Reader: Davidson, K. L. "March 1990." Description based on title screen as viewed on August 25, 2009. DTIC Descriptor(s): Interception probabilities, communication and radio systems, communications networks, spectra, command and control systems, extremely high frequency, naval operations, tactical warfare, low rate, theses, scenarios, line of sight, military applications. Author(s) subject terms: Millimeter wave, EHF, Extremely High Frequency, LPI, Low Probability of Intercept. Includes bibliographical references (p. 68-70). Also available print.
APA, Harvard, Vancouver, ISO, and other styles
More sources

Books on the topic "Low probability of intercept radar"

1

Pace, Phillip E. Detecting and classifying low probability of intercept radar. 2nd ed. Boston: Artech House, 2009.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
2

Detecting and classifying low probability of intercept radar. 2nd ed. Boston: Artech House, 2009.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
3

Pace, Phillip E. Detecting and classifying low probability of intercept radar. Boston, MA: Artech House, 2004.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
4

Pace, Phillip E. Detecting and classifying low probability of intercept radar. 2nd ed. Boston: Artech House, 2009.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
5

Pace, Phillip E. Detecting and classifying low probability of intercept radar. 2nd ed. Boston: Artech House, 2009.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
6

1939-, Ruan Yingzhen, ed. Lei da jie mian yu yin sheng ji shu. Beijing Shi: Guo fang gong ye chu ban she, 1998.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
7

Introduction to RF stealth. Raleigh, NC: SciTech Pub., 2004.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
8

Pace, Phillip E. Detecting and Classifying Low Probability of Intercept Radar (Artech House Radar Library). Artech House Publishers, 2003.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
9

Analysis of Low Probability of Intercept (LPI) Radar Signals Using Cyclostationary Processing. Storming Media, 2002.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
10

Classification and Analysis of Low Probability of Intercept Radar Signals Using Image Processing. Storming Media, 2003.

Find full text
APA, Harvard, Vancouver, ISO, and other styles

Book chapters on the topic "Low probability of intercept radar"

1

Zhu, Yan, Wei Yu, Hao Sun, Kun Li, and Jiang Luo. "Analysis of Key Technologies and Performances of Fire-Control Radar of Low Probability of Intercept." In Man-Machine-Environment System Engineering, 201–8. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-2481-9_24.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Varma, T. A. N. S. N., and Anjaneyulu Gera. "Frequency Hopping Patterns for Low Probability of Intercept (LPI) Radars Using Costas Arrays." In Lecture Notes in Electrical Engineering, 401–11. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-2818-4_43.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Zhang, Weiwei, Chenguang Shi, Jianjiang Zhou, and Junkun Yan. "Low Probability of Intercept-Based Joint Beam Selection and Waveform Design for Multiple Target Localization in Distributed Radar Network." In Proceedings of 2021 International Conference on Autonomous Unmanned Systems (ICAUS 2021), 2785–94. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-9492-9_273.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Vignesh, R., G. A. Shanmugha Sundaram, and R. Gandhiraj. "Phase-Modulated Stepped Frequency Waveform Design for Low Probability of Detection Radar Signals." In Intelligent Systems, Technologies and Applications, 181–95. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-6095-4_14.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Migliaccio, M., F. Nunziata, A. Marino, C. Brekke, and S. Skrunes. "Ocean Applications." In Polarimetric Synthetic Aperture Radar, 255–77. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-56504-6_6.

Full text
Abstract:
AbstractIn this chapter, the most promising techniques to observe oil slicks and to detect metallic targets at sea using polarimetric synthetic aperture radar (SAR) data are reviewed and critically analysed. The detection of oil slicks in SAR data is made difficult not only by the presence of speckle but also by the presence of, e.g. biogenic films, low-wind areas, rain cells, currents, etc., which increase the false alarm probability. The use of polarimetric features has been shown to both observe oil slicks and distinguish them from weak-damping look-alikes but also to extract some of their properties. Similarly to oil slicks, the same factors can hamper the detection of metallic targets at sea. The radiometric information provided by traditional single-channel SAR is not generally sufficient to unambiguously detect man-made metallic targets over the sea surface. This shortcoming is overcome by employing polarimetry, which allows to fully characterize the scattering mechanism of such targets.
APA, Harvard, Vancouver, ISO, and other styles
6

"Low Probability of Intercept (LPI)." In Introduction to Airborne Radar, 525–34. Institution of Engineering and Technology, 1998. http://dx.doi.org/10.1049/sbra101e_ch42.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Zhang, Z., J. Zhu, and S. Salous. "A novel dwelling time design method for low probability of intercept in a complex radar network." In Complex Systems, 141–52. WIT Press, 2016. http://dx.doi.org/10.2495/978-1-78466-155-7/012.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Posner, Michael I. "Integrating Technologies in the Study of Attentional Networks." In The Role of Technology in Clinical Neuropsychology. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780190234737.003.0022.

Full text
Abstract:
The literature supports the idea that attention is not a unified concept, but involves separate mechanisms that support its varied functions (Petersen & Posner, 2012). One common taxonomy involves three such functions: obtaining and maintaining the alert state, orienting to sensory stimuli, and resolving conflict among competing responses. Each of the functions has a long history and has spawned tests designed to measure individual differences in attention. Many individual tests and batteries of tests are designed to measure attention. Tests of vigilance usually involve maintaining attention over long periods of time, originally simulating the job of scanning radar returns for low-probability targets (Mackworth, 1969; Parasuraman, 1985). Another approach is to require responses to infrequent events, as in the continuous performance test (Rosvold et al., 1956) or the serial response test (Manly et al., 1999). Vigilance varies with the diurnal rhythm and vigilance can be reduced by sleep deprivation. Collectively, the tests of performance during continuous tasks are often called measures of tonic alertness, which is thought to change rather slowly. It is also possible to cause phasic shifts of the level of alertness by the use of warning signals (Nickerson, 1967). A warning signal can bring a person from a relatively relaxed state to one fostering the very best performance within less than half a second. Recent fMRI studies have defined a default state in which a person is off task (Raichle, 2009). It seems likely that scalp electrodes recording direct current shifts following warning signals called the contingent negative variation (CNV) capture the shift from the default to the alert state. The most frequently studied area in attention research involves orienting to a sensory source that contains a target. For example, in a visual search, a target may be defined as a red triangle. If it appears in a field that contains other colored triangles and red forms other than triangles, one can ensure that the field is carefully searched until the target is found.
APA, Harvard, Vancouver, ISO, and other styles

Conference papers on the topic "Low probability of intercept radar"

1

Yang, Chaoqun, Qi Hu, Heng Zhang, and Yu Zheng. "Optimal Radiation Sequence Arrangement For Low Probability of Intercept." In 2021 CIE International Conference on Radar (Radar). IEEE, 2021. http://dx.doi.org/10.1109/radar53847.2021.10028506.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Sulistyaningsih, Yussi Perdana Saputera, and Mashury Wahab. "Radar signal processing development for low probability of intercept radar system." In TENCON 2016 - 2016 IEEE Region 10 Conference. IEEE, 2016. http://dx.doi.org/10.1109/tencon.2016.7848144.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Kalenichenko, S. P., and V. M. Kutuzov. "The low probability of intercept radar systems with spatial feedback." In IEEE EUROCON 2009 (EUROCON). IEEE, 2009. http://dx.doi.org/10.1109/eurcon.2009.5167851.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Zhu, Shengkun, Xiaobai Li, Ruijuan Yang, and Xitong Zhu. "A low probability of intercept OFDM radar communication waveform design method." In 2021 IEEE International Conference on Consumer Electronics and Computer Engineering (ICCECE). IEEE, 2021. http://dx.doi.org/10.1109/iccece51280.2021.9342066.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Wang, Huan, Ming Diao, and Lipeng Gao. "Low Probability of Intercept Radar Waveform Recognition Based on Dictionary Leaming." In 2018 10th International Conference on Wireless Communications and Signal Processing (WCSP). IEEE, 2018. http://dx.doi.org/10.1109/wcsp.2018.8555906.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Shi, Chenguang, Fei Wang, Jianjiang Zhou, and Jun Chen. "Adaptive radar jamming waveform design based on low probability of intercept." In 2015 IEEE China Summit and International Conference on Signal and Information Processing (ChinaSIP). IEEE, 2015. http://dx.doi.org/10.1109/chinasip.2015.7230558.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Heriana, Octa, Dayat Kurniawan, Arief Nur Rahman, Sri Hardiati, and Eko Joni Pristianto. "Implementation of Plan Position Indicator Display for Low Probability of Intercept Radar." In 2018 International Conference on Radar, Antenna, Microwave, Electronics, and Telecommunications (ICRAMET). IEEE, 2018. http://dx.doi.org/10.1109/icramet.2018.8683908.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Hai Deng. "Waveform design for MIMO radar with low probability of intercept (LPI) property." In 2011 IEEE Antennas and Propagation Society International Symposium and USNC/URSI National Radio Science Meeting. IEEE, 2011. http://dx.doi.org/10.1109/aps.2011.5996703.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Zhang, Muqing, Huali Wang, Kaijie Zhou, and Peipei Cao. "Low Probability of Intercept Radar Signal Recognition by Staked Autoencoder and SVM." In 2018 10th International Conference on Wireless Communications and Signal Processing (WCSP). IEEE, 2018. http://dx.doi.org/10.1109/wcsp.2018.8555569.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Shi, Chenguang, Jianjiang Zhou, and Fei Wang. "Low probability of intercept optimization for radar network based on mutual information." In 2014 IEEE China Summit & International Conference on Signal and Information Processing (ChinaSIP). IEEE, 2014. http://dx.doi.org/10.1109/chinasip.2014.6889331.

Full text
APA, Harvard, Vancouver, ISO, and other styles

Reports on the topic "Low probability of intercept radar"

1

Vujcic, Doug, and Kerry Kachejian. Combat Cueing: Geolocation System for Low Probability of Intercept Signals. Fort Belvoir, VA: Defense Technical Information Center, October 2000. http://dx.doi.org/10.21236/ada383452.

Full text
APA, Harvard, Vancouver, ISO, and other styles
You might also be interested in the extended bibliographies on the topic 'Low probability of intercept radar' for particular source types:
Journal articles Dissertations / Theses
We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!

To the bibliography