Works matching DE "RADAR target recognition"
Results: 34
Cyclic Shift Discard Profile Splicing Algorithm for Moving Targets.
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- Telecommunication Engineering, 2014, v. 54, n. 5, p. 541, doi. 10.3969/j.issn.1001-893x.2014.05.003
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THE DESIGN AND CORRECTION OF A QUANTITATIVE METHOD OF SNOW ESTIMATE BY RADAR.
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- Journal of Tropical Meteorology, 2015, v. 21, n. 1, p. 92
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Genetic algorithm-tuned adaptive pruning SVDD method for HRRP-based radar target recognition.
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- International Journal of Remote Sensing, 2018, v. 39, n. 11, p. 3407, doi. 10.1080/01431161.2018.1441566
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A New MCMC Sampling Based Segment Model for Radar Target Recognition.
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- Radioengineering, 2015, v. 24, n. 1, p. 280, doi. 10.13164/re.2015.0280
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Radar HRRP Modeling using Dynamic System for Radar Target Recognition.
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- Radioengineering, 2014, v. 23, n. 1, p. 121
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Convolutional neural networks for radar HRRP target recognition and rejection.
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- EURASIP Journal on Advances in Signal Processing, 2019, v. 2019, n. 1, p. 1, doi. 10.1186/s13634-019-0603-y
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Multi-Mode Radar Target Detection and Recognition Using Neural Networks.
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- International Journal of Advanced Robotic Systems, 2012, v. 9, n. 11, p. 1, doi. 10.5772/52073
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Analysis of jet engine modulation effect with extended Hilbert-Huang transform.
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- Electronics Letters (Wiley-Blackwell), 2013, v. 49, n. 3, p. 50, doi. 10.1049/el.2012.3579
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Radar few shot target recognition method and application analysis.
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- Systems Engineering & Electronics, 2021, v. 43, n. 3, p. 684, doi. 10.12305/j.issn.1001-506X.2021.03.11
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On the Resolution Improvement of Radar Target Identification with Filtering Antenna Effects.
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- International Journal of Antennas & Propagation, 2018, p. 1, doi. 10.1155/2018/3405908
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Performance Enhancement of Target Recognition Using Feature Vector Fusion of Monostatic and Bistatic Radar.
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- Progress in Electromagnetics Research, 2014, v. 144, p. 291, doi. 10.2528/pier13103101
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Recursive implementation of GLRT-based radar target detection.
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- Journal of Electromagnetic Waves & Applications, 2015, v. 29, n. 2, p. 169, doi. 10.1080/09205071.2014.986292
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Extraction of jet engine modulation component weakly present in measured signals for enhanced radar target recognition.
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- Journal of Electromagnetic Waves & Applications, 2014, v. 28, n. 8, p. 963, doi. 10.1080/09205071.2014.899168
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Determination of optimum bistatic angle for radar target identification.
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- Journal of Electromagnetic Waves & Applications, 2014, v. 28, n. 5, p. 551, doi. 10.1080/09205071.2013.879049
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Multistatic cloud radar systems: joint sensing and communication design.
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- Transactions on Emerging Telecommunications Technologies, 2016, v. 27, n. 5, p. 716, doi. 10.1002/ett.3020
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Radar Target Recognition by Frequency-Diversity RCS Together with Kernel Scatter Difference Discrimination.
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- Progress in Electromagnetics Research M, 2019, v. 87, p. 137, doi. 10.2528/pierm19101201
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Polarimetric HRRP recognition based on feature‐guided Transformer model.
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- Electronics Letters (Wiley-Blackwell), 2021, v. 57, n. 18, p. 705, doi. 10.1049/ell2.12225
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in brief.
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- Electronics Letters (Wiley-Blackwell), 2018, v. 54, n. 6, p. 330, doi. 10.1049/el.2018.0669
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Noise-robust HRRP target recognition method via sparse-low-rank representation.
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- Electronics Letters (Wiley-Blackwell), 2017, v. 53, n. 24, p. 1602, doi. 10.1049/el.2017.2960
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Fast implementation of scaled inverse Fourier transform for high-speed radar target detection.
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- Electronics Letters (Wiley-Blackwell), 2017, v. 53, n. 16, p. 1142, doi. 10.1049/el.2017.1782
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Radar Target Recognition by Machine Learning of K-Nearest Neighbors Regression on Angular Diversity RCS.
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- Applied Computational Electromagnetics Society Journal, 2019, v. 34, n. 1, p. 75
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Analytic Expressions of Some Statistics in Radar Target Recognition Based on Late Time Representation.
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- Applied Computational Electromagnetics Society Journal, 2016, v. 31, n. 8, p. 901
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Clustered Multi-Task Learning for Automatic Radar Target Recognition.
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- Sensors (14248220), 2017, v. 17, n. 10, p. 2218, doi. 10.3390/s17102218
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Sequential linear filtering with non‐linear position and Doppler measurements for target tracking.
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- IET Radar, Sonar & Navigation (Wiley-Blackwell), 2022, v. 16, n. 4, p. 646, doi. 10.1049/rsn2.12209
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Polarimetric object-level SAR imaging method with canonical scattering characterisation by exploiting joint sparsity.
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- IET Radar, Sonar & Navigation (Wiley-Blackwell), 2017, v. 11, n. 10, p. 1558, doi. 10.1049/iet-rsn.2017.0176
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Robust and fast algorithm for estimating fundamental periodicity of jet engine modulation signals.
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- IET Radar, Sonar & Navigation (Wiley-Blackwell), 2016, v. 10, n. 7, p. 1286, doi. 10.1049/iet-rsn.2015.0526
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High-resolution multiple-input-multiple output-inverse synthetic aperture radar imaging based on sparse representation.
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- IET Radar, Sonar & Navigation (Wiley-Blackwell), 2016, v. 10, n. 7, p. 1277, doi. 10.1049/iet-rsn.2015.0517
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Manoeuvring target detection based on keystone transform and Lv's distribution.
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- IET Radar, Sonar & Navigation (Wiley-Blackwell), 2016, v. 10, n. 7, p. 1234, doi. 10.1049/iet-rsn.2015.0488
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Range-spread target detection based on the matched ambiguity function.
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- IET Radar, Sonar & Navigation (Wiley-Blackwell), 2016, v. 10, n. 7, p. 1213, doi. 10.1049/iet-rsn.2015.0475
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Vessel target detection using zero-Doppler spectra of radar echo for high-frequency surface wave radar.
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- IET Radar, Sonar & Navigation (Wiley-Blackwell), 2016, v. 10, n. 7, p. 1243, doi. 10.1049/iet-rsn.2015.0495
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Orthogonal maximum margin projection subspace for radar target HRRP recognition.
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- EURASIP Journal on Wireless Communications & Networking, 2016, v. 2016, n. 1, p. 1, doi. 10.1186/s13638-016-0571-y
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Nonlinear Filtering with IMM Algorithm for Coastal Radar Target Tracking System.
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- Telkomnika, 2015, v. 13, n. 1, p. 211, doi. 10.12928/TELKOMNIKA.v13i1.791
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Information Geometry Method to Radar Target Detection.
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- Journal of Signal Processing, 2015, v. 31, n. 6, p. 631
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A composite method for improving the resolution of passive radar target recognition based on WiFi signals.
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- EURASIP Journal on Wireless Communications & Networking, 2018, v. 2018, n. 1, p. 1, doi. 10.1186/s13638-018-1224-0
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