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Journal articles on the topic 'Moving target indicator radar'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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1

Li, Yuan, and Gaohuan Lv. "Optical moving target indicator for synthetic aperture radar images." Optical Engineering 52, no. 8 (2013): 083103. http://dx.doi.org/10.1117/1.oe.52.8.083103.

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2

Thandar Soe, Khine. "Moving Target Indicator (MTI) RADAR Design Based on MATLAB/SIMULINK." Data Research 4, no. 5 (2020): 1. http://dx.doi.org/10.31058/j.data.2020.45001.

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3

Levy, Chagai, Monika Pinchas, and Yosef Pinhasi. "Coherent Integration Loss Due to Nonstationary Phase Noise in High-Resolution Millimeter-Wave Radars." Remote Sensing 13, no. 9 (2021): 1755. http://dx.doi.org/10.3390/rs13091755.

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Phase noise refers to the instability of an oscillator, which is the cause of instantaneous phase and frequency deviations in the carrier wave. This unavoidable instability adversely affects the performance of range–velocity radar systems, including synthetic aperture radars (SARs) and ground-moving target indicator (GMTI) radars. Phase noise effects should be considered in high-resolution radar designs, operating in millimeter wavelengths and terahertz frequencies, due to their role in radar capability during the reliable identification of target location and velocity. In general, phase noise

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4

Himed, B., and M. Soumekh. "Synthetic aperture radar–moving target indicator processing of multi-channel airborne radar measurement data." IEE Proceedings - Radar, Sonar and Navigation 153, no. 6 (2006): 532. http://dx.doi.org/10.1049/ip-rsn:20050128.

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5

Parusov, V. A. "Moving-target indication in ultra wideband radar." Issues of radio electronics, no. 9 (September 13, 2019): 12–17. http://dx.doi.org/10.21778/2218-5453-2019-9-12-17.

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6

Ghanem, Sameh. "Enhancement of small doppler frequencies detection for LFMCW radar." PeerJ Computer Science 7 (January 28, 2021): e367. http://dx.doi.org/10.7717/peerj-cs.367.

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Detection of targets with small Doppler frequencies of linear-frequency modulated continuous wave radars is the main task of this article. The moving target indicator (MTI) is used to reject the fixed targets and high-speed targets through the radar research area. In this work, targets with small Doppler frequencies can be detected perfectly based on the frequency response of a single delay line canceller followed by single delay line integrator. An enhancement of the proposed algorithm is achieved using a filter in the range direction of the range-Doppler processor scheme. The proposed filter

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7

Kim, Bong-seok, Youngseok Jin, Sangdong Kim, and Jonghun Lee. "A Low-Complexity FMCW Surveillance Radar Algorithm Using Two Random Beat Signals." Sensors 19, no. 3 (2019): 608. http://dx.doi.org/10.3390/s19030608.

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This paper proposes a low-complexity frequency-modulated continuous wave (FMCW) surveillance radar algorithm using random dual chirps in order to overcome the blind-speed problem and reduce the computational complexity. In surveillance radar algorithm, the most widely used moving target indicator (MTI) algorithm is proposed to effectively remove clutter. However, the MTI algorithm has a so-called ‘blind-speed problem’ that cannot detect a target of a specific velocity. In this paper, we try to solve the blind-speed problem of MTI algorithm by randomly selecting two beat signals selected for MT

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8

Mohd Basir, Shafinaz, Idnin Pasya, Tajmalludin Yaakob, Nur Emileen Abd Rashid, and Takehiko Kobayashi. "Improvement of Doppler measurement using multiple-input multiple-output (MIMO) concept in radar-based automotive sensor detecting pedestrians." Sensor Review 38, no. 2 (2018): 239–47. http://dx.doi.org/10.1108/sr-04-2017-0060.

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Purpose This paper aims to present an approach of utilizing multiple-input multiple-output (MIMO) radar concept to enhance pedestrian classification in automotive sensors. In a practical environment, radar signals reflected from pedestrians and slow-moving vehicles are similar in terms of reflecting angle and Doppler returns, inducing difficulty for target discrimination. An efficient discrimination between the two targets depends on the ability of the sensor to extract unique characteristics from each target, for example, by exploiting Doppler signatures. This study describes the utilization

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9

Ma, Hui, Michail Antoniou, Debora Pastina, et al. "Maritime Moving Target Indication Using Passive GNSS-Based Bistatic Radar." IEEE Transactions on Aerospace and Electronic Systems 54, no. 1 (2018): 115–30. http://dx.doi.org/10.1109/taes.2017.2739900.

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10

Chen, Zhao‐Yan, and Tong Wang. "Unambiguous across‐track velocity estimation of moving targets for multichannel synthetic aperture radar‐ground moving target indication systems." IET Signal Processing 8, no. 9 (2014): 950–57. http://dx.doi.org/10.1049/iet-spr.2013.0423.

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11

Damini, A., B. Balaji, G. Haslam, and M. Goulding. "X-band experimental airborne radar – Phase II: synthetic aperture radar and ground moving target indication." IEE Proceedings - Radar, Sonar and Navigation 153, no. 2 (2006): 144. http://dx.doi.org/10.1049/ip-rsn:20045089.

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12

Wang, HuiJuan, ZiYue Tang, YuanQing Zhao, YiChang Chen, ZhenBo Zhu, and YuanPeng Zhang. "Signal Processing and Target Fusion Detection via Dual Platform Radar Cooperative Illumination." Sensors 19, no. 24 (2019): 5341. http://dx.doi.org/10.3390/s19245341.

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A modified signal processing and target fusion detection method based on the dual platform cooperative detection model is proposed in this paper. In this model, a single transmitter and dual receiver radar system is adopted, which can form a single radar and bistatic radar system, respectively. Clutter suppression is achieved by an adaptive moving target indicator (AMTI). By combining the AMTI technology and the traditional radar signal processing technology (i.e., pulse compression and coherent accumulation processing), the SNR is improved, and false targets generated by direct wave are suppr

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13

Yang, Jin-Mo, Min-Joon Lee, and Whan-Woo Kim. "A Study on Receiving Beam Pointing Error and MTI(Moving Target Indication) Performance in a Bistatic Radar Using Pulse Chasing." Journal of Korean Institute of Electromagnetic Engineering and Science 21, no. 12 (2010): 1412–22. http://dx.doi.org/10.5515/kjkiees.2010.21.12.1412.

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14

Marques, Paulo. "Directional Moving Target Indication: A Novel SAR Ambiguity Function for Traffic Monitoring." Journal of Electrical and Computer Engineering 2012 (2012): 1–8. http://dx.doi.org/10.1155/2012/357034.

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This paper presents and evaluates a novel SAR ambiguity function for traffic monitoring. The novelty consists in introducing the capability to discriminate targets moving in a predefined direction of interest, reducing the contribution of traffic moving in undesired directions. Experimental results show that the modified SAR ambiguity function provides better results than the traditional methodology and may, therefore, be useful for civil traffic monitoring using single-channel synthetic aperture radar data.

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15

Et.al, Jae-Woong Choi. "Multiple Target Detection For OFDM Radar Based On Convolutional Neural Network." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 6 (2021): 544–50. http://dx.doi.org/10.17762/turcomat.v12i6.1976.

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The objective of this paper is to propose a multiple target identification technique for orthogonal frequency division multiplexing (OFDM) radars. First, a 2-D (range & Doppler) periodogram is obtained from the reflected signal through 2-D fast Fourier transform (FFT) of the received OFDM symbols. Usually, the peaks of the periodogram indicates the targets. Conventionally, peak search algorithms are used to find the multiple targets. In this paper, however, a convolutional neural network (CNN) classifier is proposed to identify the targets. The proposed technique does not need any addition

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16

Rigling, B. D. "Amplitude space–time adaptive processing for ground-moving target indication laser radar." IEE Proceedings - Radar, Sonar and Navigation 153, no. 4 (2006): 361. http://dx.doi.org/10.1049/ip-rsn:20050010.

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17

Zheng, Hongchao, Junfeng Wang, and Xingzhao Liu. "Ground Moving Target Indication for High-Resolution Wide-Swath Synthetic Aperture Radar Systems." IEEE Geoscience and Remote Sensing Letters 14, no. 5 (2017): 749–53. http://dx.doi.org/10.1109/lgrs.2017.2678987.

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18

Weiwei, Wang, Liao Guisheng, Zhu ShengQi, and Zhang Jie. "Compressive sensing‐based ground moving target indication for dual‐channel synthetic aperture radar." IET Radar, Sonar & Navigation 7, no. 8 (2013): 858–66. http://dx.doi.org/10.1049/iet-rsn.2012.0135.

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19

Yang, Taoli, Zhenfang Li, Zhiyong Suo, and Zheng Bao. "Ground moving target indication for high‐resolution wide‐swath synthetic aperture radar systems." IET Radar, Sonar & Navigation 8, no. 3 (2014): 227–32. http://dx.doi.org/10.1049/iet-rsn.2013.0040.

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20

Li, Yongkang, and Tong Wang. "Efficient imaging algorithm for spaceborne synthetic aperture radar/ground moving target indication systems." IET Radar, Sonar & Navigation 9, no. 9 (2015): 1354–59. http://dx.doi.org/10.1049/iet-rsn.2014.0289.

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21

Zheng, Hongchao, Junfeng Wang, and Xingzhao Liu. "Synthetic aperture radar ground moving target indication via exploiting interferogram’s magnitude and phase." Journal of Applied Remote Sensing 10, no. 3 (2016): 035012. http://dx.doi.org/10.1117/1.jrs.10.035012.

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22

Li, Qingna, He Yan, Leqin Wu, and Robert Wang. "Robust PCA for Ground Moving Target Indication in Wide-Area Surveillance Radar System." Journal of the Operations Research Society of China 1, no. 1 (2013): 135–53. http://dx.doi.org/10.1007/s40305-013-0006-y.

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23

Wang, Laihe, Yueli Li, Wu Wang, and Daoxiang An. "Moving Target Indication for Dual-Channel Circular SAR/GMTI Systems." Sensors 20, no. 1 (2019): 158. http://dx.doi.org/10.3390/s20010158.

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In a dual-channel circular synthetic aperture radar (CSAR) and ground moving target indication (GMTI) system, the antenna baseline is not parallel with the flight path due to a yaw angle. The angle causes a varying group-phase shift between the dual-channel signals and therefore degrades the correlation between the image pair. Therefore, the group-phase shift needs to be removed before channel equalization. To resolve the problem, the interferometric phase term was deduced and analyzed based on the geometry of a dual-channel CSAR system. Then, the varying phase term with respect to the Doppler

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24

HE, Fei, and Dong-chu JIANG. "Direct data domain based method for ground moving target indication by bistatic airborne radar." Journal of Computer Applications 31, no. 2 (2011): 537–39. http://dx.doi.org/10.3724/sp.j.1087.2011.00537.

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25

Oveis, Amir Hosein, and Mohammad Ali Sebt. "Dictionary-Based Principal Component Analysis for Ground Moving Target Indication by Synthetic Aperture Radar." IEEE Geoscience and Remote Sensing Letters 14, no. 9 (2017): 1594–98. http://dx.doi.org/10.1109/lgrs.2017.2724854.

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26

Liu, Jing, Xiaoqing Tian, Jiayuan Jiang, and Kaiyu Huang. "Distributed Compressed Sensing Based Ground Moving Target Indication for Dual-Channel SAR System." Sensors 18, no. 7 (2018): 2377. http://dx.doi.org/10.3390/s18072377.

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The dual-channel synthetic aperture radar (SAR) system is widely applied in the field of ground moving-target indication (GMTI). With the increase of the imaging resolution, the resulting substantial raw data samples increase the transmission and storage burden. We tackle the problem by adopting the joint sparsity model 1 (JSM-1) in distributed compressed sensing (DCS) to exploit the correlation between the two channels of the dual-channel SAR system. We propose a novel algorithm, namely the hierarchical variational Bayesian based distributed compressed sensing (HVB-DCS) algorithm for the JSM-

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27

Kiselev, A. V., and M. A. Stepanov. "Signal reception characteristics estimation of radar with moving-target indication in case of turbulent atmosphere." Radioelectronics and Communications Systems 50, no. 8 (2007): 432–34. http://dx.doi.org/10.3103/s0735272707080043.

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28

Chen, Zhao‐Yan, and Tong Wang. "Two‐stage channel calibration technique for multichannel synthetic aperture radar‐ground moving target indication systems." IET Radar, Sonar & Navigation 8, no. 9 (2014): 1116–26. http://dx.doi.org/10.1049/iet-rsn.2014.0038.

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29

Wen, Cai, Tong Wang, and Jianxin Wu. "Short‐range ground moving target indication in forward looking airborne radar based on elevation prefiltering." IET Radar, Sonar & Navigation 9, no. 2 (2015): 191–98. http://dx.doi.org/10.1049/iet-rsn.2014.0116.

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30

Zheng, Hongchao, Junfeng Wang, and Xingzhao Liu. "Ground moving target indication for multichannel synthetic aperture radar systems using asymmetry of spatial spectrum." Journal of Applied Remote Sensing 12, no. 01 (2018): 1. http://dx.doi.org/10.1117/1.jrs.12.015011.

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31

Ash, Matthew, Matthew Ritchie, and Kevin Chetty. "On the Application of Digital Moving Target Indication Techniques to Short-Range FMCW Radar Data." IEEE Sensors Journal 18, no. 10 (2018): 4167–75. http://dx.doi.org/10.1109/jsen.2018.2823588.

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32

Dong, Xichao, Chang Cui, Yuanhao Li, and Cheng Hu. "Geosynchronous Spaceborne-Airborne Bistatic Moving Target Indication System: Performance Analysis and Configuration Design." Remote Sensing 12, no. 11 (2020): 1810. http://dx.doi.org/10.3390/rs12111810.

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Geosynchronous spaceborne-airborne bistatic synthetic aperture radar (GEO SA-BSAR), consisting of GEO transmitter and airborne receiver, has stable coverage for a long time and benefits moving target detection. However, the performance of GEO SA-BSAR moving target indication (MTI) system varies widely between bistatic configurations. The traditional configuration design for GEO SA-BSAR system only considers the imaging performance, which may cause the poor MTI performance. In this paper, we propose a bistatic configuration design method to jointly optimize the MTI and SAR imaging performance f

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33

Zyukin, V. F., A. A. Gryzo, and V. M. Andriishin. "The Surveillance Radar Potential for Moving Target Indication in the Presence of Inhomogeneous Passive Counter Measures." Telecommunications and Radio Engineering 59, no. 5-6 (2003): 12. http://dx.doi.org/10.1615/telecomradeng.v59.i5-6.80.

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34

Livingstone, C. E., I. Sikaneta, C. H. Gierull, et al. "An airborne synthetic aperture radar (SAR) experiment to support RADARSAT-2 ground moving target indication (GMTI)." Canadian Journal of Remote Sensing 28, no. 6 (2002): 794–813. http://dx.doi.org/10.5589/m02-074.

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35

Laghezza, Francesco, Fabrizio Berizzi, Amerigo Capria, et al. "Reconfigurable radar transmitter based on photonic microwave signal generation." International Journal of Microwave and Wireless Technologies 3, no. 3 (2011): 383–89. http://dx.doi.org/10.1017/s1759078711000262.

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In this paper we propose a photonic technique for a reconfigurable microwave signal generation based on the beating of two laser modes coming from a regenerative fiber mode-locked laser (FMLL) into a photodiode. The excellent performance of this kind of pulsed laser guarantees high stability on the directly generated microwave signal even at ultrahigh frequencies (up to W band). Therefore, by using the proposed architecture, the performance of a reconfigurable full digital coherent radar system can be enhanced for example in terms of moving target indicator (MTI) improvement factor and analog

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36

Zheng, Hongchao, Junfeng Wang, and Xingzhao Liu. "Ground moving target indication of multichannel synthetic aperture radar based on statistics of the dominant-velocity image." Journal of Applied Remote Sensing 10, no. 3 (2016): 036010. http://dx.doi.org/10.1117/1.jrs.10.036010.

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37

Vodolazov, Arsenii, Dmitrii Koroteev, Sergei Rastvorov, Pavel Shatov, and Dmitrii Slyusarenko. "Implementation of broadband radar Doppler signal processing algorithms based on special computing unit platform." ITM Web of Conferences 30 (2019): 15024. http://dx.doi.org/10.1051/itmconf/20193015024.

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An approach to hardware-oriented software optimization during the implementation of real-time digital radar signal processing is described. A typical moving target indication algorithm is considered. The main principles of the optimization approach are given. The speed of the optimized algorithm in comparison to the implementation performed by standard software means is shown. The possibility of potential increase in signal processing speed with hardware-oriented optimization is indicated.

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38

Chen, Zhao‐Yan, Tong Wang, and Nan Ma. "Accurate baseline estimation for synthetic aperture radar‐ground moving target indication systems based on co‐registration and median filtering." IET Radar, Sonar & Navigation 8, no. 6 (2014): 607–15. http://dx.doi.org/10.1049/iet-rsn.2013.0146.

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39

Xia, Saiqiang, Jun Yang, Wanyong Cai, Chaowei Zhang, Liangfa Hua, and Zibo Zhou. "Adaptive Complex Variational Mode Decomposition for Micro-Motion Signal Processing Applications." Sensors 21, no. 5 (2021): 1637. http://dx.doi.org/10.3390/s21051637.

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In order to suppress the strong clutter component and separate the effective fretting component from narrow-band radar echo, a method based on complex variational mode decomposition (CVMD) is proposed in this paper. The CVMD is extended from variational mode decomposition (VMD), which is a recently introduced technique for adaptive signal decomposition, limited to only dealing with the real signal. Thus, the VMD is extended from the real domain to the complex domain firstly. Then, the optimal effective order of singular value is obtained by singular value decomposition (SVD) to solve the probl

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40

Hou, Lili, Hongjun Song, Mingjie Zheng, Lei Zhang, and Lijuan Qi. "Clutter suppression for multichannel synthetic aperture radar ground moving target indication system with the capability of high-resolution wide-swath imaging." Journal of Applied Remote Sensing 9, no. 1 (2015): 095054. http://dx.doi.org/10.1117/1.jrs.9.095054.

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41

Li, Xiaoming, Wei Gao, and Xiaodong Han. "Doppler beam sharpening/ground moving target indication techniques based on space–time adaptive processing for airborne active phased array fire-control radar." Journal of Engineering 2019, no. 19 (2019): 6048–51. http://dx.doi.org/10.1049/joe.2019.0393.

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42

Guo, J., Z. F. Li, and Z. Bao. "Adaptive clutter suppression and resolving of velocity ambiguities for an experimental three-channel airborne synthetic aperture radar-ground moving target indication system." IET Radar, Sonar & Navigation 5, no. 4 (2011): 426. http://dx.doi.org/10.1049/iet-rsn.2010.0232.

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43

Wang, Xiaoyang, Gui Gao, Shilin Zhou, and Youqing Zhu. "Performance comparison and assessment of displaced phase center antenna and along-track interferometry techniques used in synthetic aperture radar-ground moving target indication." Journal of Applied Remote Sensing 8, no. 1 (2014): 083504. http://dx.doi.org/10.1117/1.jrs.8.083504.

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44

Korotun, V. M., S. S. Golovin, and A. L. Gavrik. "MEASUREMENT OF THE VARIATIONS OF THE PHASE OF A SIGNAL IS A DUALFREQUENCY RECEIVER RADIO NAVIGATION SYSTEM GLONASS, IN ORDER TO RECOGNIZE OBJECTS BASED ON THEIR RADAR PORTRAITS FOR MEDIA AND SYSTEM KKP." Issues of radio electronics, no. 3 (March 20, 2018): 35–39. http://dx.doi.org/10.21778/2218-5453-2018-3-35-39.

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Proposals for constructing radio images of objects based on the synthesis of apertures are considered. The methods of radar recognition of space objects (QRs) are based on the deterministic model of the reflected signal. The deterministic model of the signal allows us to reproduce, without limitations, auxiliary signs used in the detection and recognition of targets (statistical parameters and generalized functions of signal realizations, etc.). It is necessary to obtain typical values of the parameters of the received signal for each typical structural element, and also to obtain a reliable s

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45

Wang, Peng, Xiaomin Zhang, and Yan Hao. "A Method Combining CNN and ELM for Feature Extraction and Classification of SAR Image." Journal of Sensors 2019 (November 28, 2019): 1–8. http://dx.doi.org/10.1155/2019/6134610.

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Due to the large number of Sigmoid activation function derivation in the traditional convolution neural network (CNN), it is difficult to solve the question of the low efficiency of extracting the feature of Synthetic Aperture Radar (SAR) images. The Sigmoid activation function in the CNN is improved to be a rectified linear unit (ReLU) activation function, and the classifier is modified by the Extreme Learning Machine (ELM). Finally, in this CNN model, the improved CNN works as the feature extractor and ELM performs as a recognizer. A SAR image recognition algorithm based on the CNN-ELM algor

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46

Sharma, Satish K., and Mukund R. Thyagarajan. "Performance Comparison of Symmetric and Offset Reflector Antennas Adaptively Illuminated by Novel Triple Mode Feedhorn." International Journal of Antennas and Propagation 2012 (2012): 1–10. http://dx.doi.org/10.1155/2012/870318.

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Parabolic symmetric and offset reflector antennas adaptively illuminated using a novel triple-mode feedhorn (TE11+TM01+TE21) with different mode combinations and impedance and radiation performances are presented. The combination of the radiating modes in a feedhorn with proper amplitude and fixed phase values helps in electronically pointing the main beam of the radiating patterns such as that obtained in a beam-steering antenna with limited beam-scan range. This type of radiation performance virtually creates a displaced phase center location for the feedhorn, which, consequently, adaptively

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47

Sorrell, P. A. "Microwave systems design for high-performance moving target indicators in radars." IEEE Transactions on Microwave Theory and Techniques 39, no. 5 (1991): 791–97. http://dx.doi.org/10.1109/22.79106.

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48

Barbarossa, S., and G. Picardi. "Predictive adaptive moving target indicator." Signal Processing 10, no. 1 (1986): 83–97. http://dx.doi.org/10.1016/0165-1684(86)90067-8.

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49

Zhang, Houyuan, Yun Zhang, Xin Qi, and Chengge Zong. "Moving target detection based on OFDM radar." Journal of Engineering 2019, no. 19 (2019): 5605–9. http://dx.doi.org/10.1049/joe.2019.0153.

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50

Bączyk, Marcin Kamil, and Krzysztof Kulpa. "Moving target imaging in multistatic passive radar." IET Radar, Sonar & Navigation 13, no. 2 (2019): 198–207. http://dx.doi.org/10.1049/iet-rsn.2018.5134.

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