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Journal articles on the topic 'Millimetre wave radar'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Essen, H., A. Wahlen, R. Sommer, G. Konrad, M. Schlechtweg, and A. Tessmann. "Very high bandwidth millimetre-wave radar." Electronics Letters 41, no. 22 (2005): 1247. http://dx.doi.org/10.1049/el:20052174.

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2

Hotte, David, Romain Siragusa, Yvan Duroc, and Smail Tedjini. "Radar cross‐section measurement in millimetre‐wave for passive millimetre‐wave identification tags." IET Microwaves, Antennas & Propagation 9, no. 15 (2015): 1733–39. http://dx.doi.org/10.1049/iet-map.2015.0281.

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3

Parralejo, Felipe, Fernando J. Álvarez, José A. Paredes, Fernando J. Aranda, and Teodoro Aguilera. "Precise Mechanical Oscillator Design and Calibration for Characterising Sub-Millimetre Movements in mmWave Radar Systems." Sensors 24, no. 23 (2024): 7469. http://dx.doi.org/10.3390/s24237469.

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For many industrial and medical applications, measuring sub-millimetre movements has become crucial, for instance, for the precise guidance of surgical robots. The literature shows the feasibility of millimetre-wave (mmWave) radars to deal with such micro-vibrations. However, the availability of reference devices to configure and test these systems is very limited. This work proposes the design of a mechanical oscillator to characterise sub-millimetre vibration detection and measurement using a mmWave radar. The final implementation is fully controllable in both amplitude and frequency. Additi

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4

Fischer, C., M. Goppelt, H. L. Blöcher, and J. Dickmann. "Minimizing interference in automotive radar using digital beamforming." Advances in Radio Science 9 (July 29, 2011): 45–48. http://dx.doi.org/10.5194/ars-9-45-2011.

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Abstract. Millimetre wave radar is an essential part of automotive safety functions. A high interference tolerance, especially with other radar sensors, is vital. This paper gives an overview of the motivation, the boundary conditions and related activities in the MOSARIM project funded by the European Union and concerned with interference mitigation in automotive radars. Current and planned activities considering Digital Beamforming (DBF) as a method for interference mitigation are presented.

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Britton, A., and D. Joynson. "An all weather millimetre wave imaging radar for UAVs." Aeronautical Journal 105, no. 1053 (2001): 609–12. http://dx.doi.org/10.1017/s0001924000012598.

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Abstract In this paper we describe a new 35GHz air-borne radar developed jointly by DERA and Alenia Marconi Systems. This radar is a functional prototype of a more highly configured imaging radar which is designed to meet the needs for all-weather imaging both for future unmanned air vehicles (UAV) and for seekers in the next generation of surface attack weapons. The radar achieves high range resolution through a combination of pseudo-random phase coding and frequency agility. This is then augmented by synthetic aperture techniques to allow forward looking high resolution 2D imagery to be obta

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6

Leong, Wai Yie, and Chen Hui Zhao. "Millimetre Wave Radar in Residual Neural Network with Multiple Large Model Parameters." ASM Science Journal 20, no. 1 (2025): 1–6. https://doi.org/10.32802/asmscj.2025.1955.

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In recent years, millimetre-wave radar has shown important application value in automatic target detection, autonomous driving perception, and multimodal data fusion tasks. After combining it with deep learning, especially with residual neural network (ResNet) and its derivative structures, millimetre-wave radar has further improved its performance in object detection. This study systematically compares the experimental performance of four deep learning models (ResNet50, ResNet101, Res2Net101 and Swin Transformer, referred to as Swin-T) on KITTI, nuScenes and BDD datasets. We evaluated key per

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7

Bystrov, Aleksandr, Liam Daniel, Edward Hoare, Fatemeh Norouzian, Mikhail Cherniakov, and Marina Gashinova. "Experimental Evaluation of 79 and 300 GHz Radar Performance in Fire Environments." Sensors 21, no. 2 (2021): 439. http://dx.doi.org/10.3390/s21020439.

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This paper presents an experimental study of the propagation of mm-wave/low-THz signals in the frequency ranges of 79 and 300 GHz through fire. Radar performance was investigated in various real scenarios, including fire with strong flame, dense smoke and water vapour. A stereo video camera and a LIDAR were used as a comparison with other common types of sensors. The ability of radars to enable the visibility of objects in fire environments was proven. In all scenarios, the radar signal attenuation was measured, and in the case of steam was compared with theoretical calculations. The analysis

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Bystrov, Aleksandr, Liam Daniel, Edward Hoare, Fatemeh Norouzian, Mikhail Cherniakov, and Marina Gashinova. "Experimental Evaluation of 79 and 300 GHz Radar Performance in Fire Environments." Sensors 21, no. 2 (2021): 439. http://dx.doi.org/10.3390/s21020439.

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This paper presents an experimental study of the propagation of mm-wave/low-THz signals in the frequency ranges of 79 and 300 GHz through fire. Radar performance was investigated in various real scenarios, including fire with strong flame, dense smoke and water vapour. A stereo video camera and a LIDAR were used as a comparison with other common types of sensors. The ability of radars to enable the visibility of objects in fire environments was proven. In all scenarios, the radar signal attenuation was measured, and in the case of steam was compared with theoretical calculations. The analysis

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9

Kim, J., J. E. Lee, H. S. Lim, and S. Lee. "Face identification using millimetre-wave radar sensor data." Electronics Letters 56, no. 20 (2020): 1077–79. http://dx.doi.org/10.1049/el.2020.1822.

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10

Owda, Amani, Majdi Owda, and Nacer-Ddine Rezgui. "Synthetic Aperture Radar Imaging for Burn Wounds Diagnostics." Sensors 20, no. 3 (2020): 847. http://dx.doi.org/10.3390/s20030847.

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The need for technologies to monitor the wound healing under dressing materials has led us to investigate the feasibility of using microwave and millimetre wave radiations due to their sensitivity to water, non- ionising nature, and transparency to dressing materials and clothing. This paper presents synthetic aperture radar (SAR) images obtained from an active microwave and millimetre wave scanner operating over the band 15–40 GHz. Experimental images obtained from porcine skin samples with the presence of dressing materials and after the application of localised heat treatments reveal that S

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11

Dore, Alexandre, Cristian Pasquaretta, Dominique Henry, et al. "A Non-Invasive Millimetre-Wave Radar Sensor for Automated Behavioural Tracking in Precision Farming—Application to Sheep Husbandry." Sensors 21, no. 23 (2021): 8140. http://dx.doi.org/10.3390/s21238140.

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The automated quantification of the behaviour of freely moving animals is increasingly needed in applied ethology. State-of-the-art approaches often require tags to identify animals, high computational power for data collection and processing, and are sensitive to environmental conditions, which limits their large-scale utilization, for instance in genetic selection programs of animal breeding. Here we introduce a new automated tracking system based on millimetre-wave radars for real time robust and high precision monitoring of untagged animals. In contrast to conventional video tracking syste

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12

Bureneva, O. I., I. G. Gorbunov, G. V. Komarov, A. A. Konovalov, M. S. Kupriyanov, and Yu A. Shichkina. "A Prototype of Automotive 77 GHz Radar." Journal of the Russian Universities. Radioelectronics 24, no. 3 (2021): 22–38. http://dx.doi.org/10.32603/1993-8985-2021-24-3-22-38.

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Introduction. Automotive radars are the main tools for providing traffic safety. The development of such radars involve a number of technical difficulties due to the manufacture of high-precision extremely high-frequency (EHF) printed circuit boards. To facilitate the process of creating such devices, the existing algorithms for radar information processing should be debugged using prototypes from manufacturers of mm-band transceivers. However, the parameters of such boards are not known in advance, and the actual operating conditions of the as-produced automotive radars raise new challenges t

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13

Bertl, S., A. Dallinger, and J. Detlefsen. "Broadband circular interferometric millimetre-wave ISAR for threat detection." Advances in Radio Science 5 (June 12, 2007): 147–51. http://dx.doi.org/10.5194/ars-5-147-2007.

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Abstract. To detect threats on a person's body surface the application of millimetre-waves is possible. In order to get a view of the person from all sides either the person has to be rotated standing on a turntable (Inverse Synthetic Aperture Radar, ISAR) or a sensor is moved on a circular path around the person (Synthetic Aperture Radar, SAR). The goal of the reconstruction is to obtain information about the shape of the threats and their positions in all three dimensions. At first the reconstruction is done along range and azimuth, which span the principal surface given by the sensor config

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14

Hosseiny, Benyamin, Jalal Amini, and Hossein Aghababaei. "Micro-vibration monitoring of pipelines using millimetre-wave MIMO radar." Remote Sensing Letters 14, no. 12 (2023): 1324–34. http://dx.doi.org/10.1080/2150704x.2023.2291424.

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15

Felguera-Martín, D., J. T. González-Partida, P. Almorox-González, M. Burgos-García, and B. P. Dorta-Naranjo. "Interferometric inverse synthetic aperture radar experiment using an interferometric linear frequency modulated continuous wave millimetre-wave radar." IET Radar, Sonar & Navigation 5, no. 1 (2011): 39. http://dx.doi.org/10.1049/iet-rsn.2009.0111.

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16

Hao, Zhanjun, Yue Wang, Fenfang Li, Guozhen Ding, and Yifei Gao. "mmWave-RM: A Respiration Monitoring and Pattern Classification System Based on mmWave Radar." Sensors 24, no. 13 (2024): 4315. http://dx.doi.org/10.3390/s24134315.

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Breathing is one of the body’s most basic functions and abnormal breathing can indicate underlying cardiopulmonary problems. Monitoring respiratory abnormalities can help with early detection and reduce the risk of cardiopulmonary diseases. In this study, a 77 GHz frequency-modulated continuous wave (FMCW) millimetre-wave (mmWave) radar was used to detect different types of respiratory signals from the human body in a non-contact manner for respiratory monitoring (RM). To solve the problem of noise interference in the daily environment on the recognition of different breathing patterns, the sy

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17

Paredes, José A., Fernando J. Álvarez, Miles Hansard, and Khalid Z. Rajab. "A Gaussian Process model for UAV localization using millimetre wave radar." Expert Systems with Applications 185 (December 2021): 115563. http://dx.doi.org/10.1016/j.eswa.2021.115563.

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18

Almalioglu, Yasin, Mehmet Turan, Chris Xiaoxuan Lu, Niki Trigoni, and Andrew Markham. "Milli-RIO: Ego-Motion Estimation With Low-Cost Millimetre-Wave Radar." IEEE Sensors Journal 21, no. 3 (2021): 3314–23. http://dx.doi.org/10.1109/jsen.2020.3023243.

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19

Webb, A. R. "Point-source location using a millimetre wave focal-plane array radar." IEE Proceedings F Radar and Signal Processing 138, no. 6 (1991): 581. http://dx.doi.org/10.1049/ip-f-2.1991.0078.

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20

Hu, Bojun, Biao Jin, Hao Xue, Zhenkai Zhang, Zhaoyang Xu, and Xiaohua Zhu. "Heartbeat information prediction based on transformer model using millimetre‐wave radar." IET Biometrics 12, no. 4 (2023): 235–43. http://dx.doi.org/10.1049/bme2.12116.

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21

Moll, Jochen, Philip Arnold, Moritz Mälzer, et al. "Radar-based structural health monitoring of wind turbine blades: The case of damage detection." Structural Health Monitoring 17, no. 4 (2017): 815–22. http://dx.doi.org/10.1177/1475921717721447.

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Structural health monitoring of wind turbine blades is challenging due to its large dimensions, as well as the complex and heterogeneous material system. In this article, we will introduce a radically new structural health monitoring approach that uses permanently installed radar sensors in the microwave and millimetre-wave frequency range for remote and in-service inspection of wind turbine blades. The radar sensor is placed at the tower of the wind turbine and irradiates the electromagnetic waves in the direction of the rotating blades. Experimental results for damage detection of complex st

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22

Xiong, Wei, Jingsheng Luo, and Chaopeng Yu. "Power line detection in millimetre‐wave radar images applying convolutional neural networks." IET Radar, Sonar & Navigation 15, no. 9 (2021): 1083–95. http://dx.doi.org/10.1049/rsn2.12090.

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23

Zhang, Changlong, Jimin Wei, Albert Sibo Hu, and Peipei Fu. "A novel method for calibration and verification of roadside millimetre‐wave radar." IET Intelligent Transport Systems 16, no. 3 (2021): 408–19. http://dx.doi.org/10.1049/itr2.12151.

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24

Li, Wei, Jiahao Jiang, Yi Yao, Danian Liu, Yang Gao, and Qi Li. "Hand character gesture recognition based on a single millimetre‐wave radar chip." IET Radar, Sonar & Navigation 16, no. 2 (2021): 208–23. http://dx.doi.org/10.1049/rsn2.12177.

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25

Gallee, F., G. Landrac, and M. M. Ney. "Artificial lens for third-generation automotive radar antenna at millimetre-wave frequencies." IEE Proceedings - Microwaves, Antennas and Propagation 150, no. 6 (2003): 470. http://dx.doi.org/10.1049/ip-map:20030745.

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26

Wen, Cai, Jiang Zhu, Yan Zhou, and Jinye Peng. "Study on ISAR imaging for forward-looking missile-borne millimetre wave radar." Journal of Engineering 2019, no. 20 (2019): 6718–22. http://dx.doi.org/10.1049/joe.2019.0297.

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27

Suomela, J., J. Kuusela, and A. Halme. "Millimetre Wave Radar for Close Terrain Mapping of an Intelligent Autonomous Vehicle." IFAC Proceedings Volumes 28, no. 11 (1995): 331–36. http://dx.doi.org/10.1016/s1474-6670(17)46994-1.

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28

Kuroda, Hiroshi, and Kazuaki Takano. "A Study on Adapting the Zoom FET Algorithm to Automotive Millimetre Wave Radar." IEEJ Transactions on Industry Applications 123, no. 5 (2003): 634–39. http://dx.doi.org/10.1541/ieejias.123.634.

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29

Gaucher, B., B. Floyd, S. Reynolds, et al. "Silicon germanium based millimetre-wave ICs for Gbps wireless communications and radar systems." Semiconductor Science and Technology 22, no. 1 (2006): S236—S243. http://dx.doi.org/10.1088/0268-1242/22/1/s55.

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30

Yadav, Rekha, Pawan Kumar Dahiya, and Rajesh Mishra. "A Scalable Millimetre-Wave Differential CMOS Cross-Coupled VCO for Automotive Radar Application." Journal of Circuits, Systems and Computers 27, no. 10 (2018): 1850158. http://dx.doi.org/10.1142/s021812661850158x.

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In this paper, a novel method to realize LC Voltage-Controlled-Oscillator (LC-VCO) operating at 76.2–76.7[Formula: see text]GHz frequency band for microwave RFIC component is presented. The model of cross-coupled differential LC-VCO is designed in 45[Formula: see text]nm technology using Complementary Metal Oxide Semiconductor (CMOS) process for Frequency Modulated Carrier Wave (FMCW) automotive radar sensors and RF transceivers application. The impact of VDD, control voltage and temperature variation on frequency shift, phase noise, and output power has been analyzed to optimize the trade-off

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31

Papatsoris, A. D. "Implication of super-large drops in millimetre-wave radar observations of water clouds." Electronics Letters 30, no. 21 (1994): 1799–800. http://dx.doi.org/10.1049/el:19941183.

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32

Ullmann, Ingrid, Julian Adametz, Daniel Oppelt, Andreas Benedikter, and Martin Vossiek. "Non-destructive testing of arbitrarily shaped refractive objects with millimetre-wave synthetic aperture radar imaging." Journal of Sensors and Sensor Systems 7, no. 1 (2018): 309–17. http://dx.doi.org/10.5194/jsss-7-309-2018.

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Abstract. Millimetre-wave (mmW) imaging is an emerging technique for non-destructive testing. Since many polymers are transparent in this frequency range, mmW imaging is an attractive means in the testing of polymer devices, and images of relatively high resolution are possible. This contribution presents an algorithm for the precise imaging of arbitrarily shaped dielectric objects. The reconstruction algorithm is capable of automatically detecting the object's contour, followed by a material-sensitive reconstruction of the object's interior. As an example we examined a polyethylene device wit

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33

Nguyen, Hong Nhung, Seongwook Lee, Tien‐Tung Nguyen, and Yong‐Hwa Kim. "One‐shot learning‐based driver's head movement identification using a millimetre‐wave radar sensor." IET Radar, Sonar & Navigation 16, no. 5 (2022): 825–36. http://dx.doi.org/10.1049/rsn2.12223.

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34

Wang, Bo, Liang Guo, Hao Zhang, and Yong-Xin Guo. "A Millimetre-Wave Radar-Based Fall Detection Method Using Line Kernel Convolutional Neural Network." IEEE Sensors Journal 20, no. 22 (2020): 13364–70. http://dx.doi.org/10.1109/jsen.2020.3006918.

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35

Zhang, Guangcheng, Shenchen Li, Kai Zhang, and Yueh-Jaw Lin. "Machine Learning-Based Human Posture Identification from Point Cloud Data Acquisitioned by FMCW Millimetre-Wave Radar." Sensors 23, no. 16 (2023): 7208. http://dx.doi.org/10.3390/s23167208.

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Human posture recognition technology is widely used in the fields of healthcare, human-computer interaction, and sports. The use of a Frequency-Modulated Continuous Wave (FMCW) millimetre-wave (MMW) radar sensor in measuring human posture characteristics data is of great significance because of its robust and strong recognition capabilities. This paper demonstrates how human posture characteristics data are measured, classified, and identified using FMCW techniques. First of all, the characteristics data of human posture is measured with the MMW radar sensors. Secondly, the point cloud data fo

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36

Fonseca, Nelson J. G. "The Water Drop Lens: Revisiting the Past to Shape the Future." Reviews of Electromagnetics 1 (January 1, 2022): 1–4. http://dx.doi.org/10.53792/roe/2022.1/21008.

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This vision paper provides a brief overview on recent developments related to a new solution of quasi-optical beamformer, referred to as the water drop lens. This parallel plate waveguide beamformer, which is a revisited geodesic lens with a shaped profile, is attracting attention for applications in the millimetre-wave range, where more conventional dielectric lenses prove to be too lossy and standard geodesic lenses are still too bulky. On-going investigations include satellite and terrestrial communication systems, radar systems and imaging systems with wideband operation at centre frequenc

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37

Zheng, Yu, Chen Yao, and Guoqiang Zhao. "An Improved Method for Antenna and Probe Alignment in Auto-calibration of Millimeter-Wave Digital Monopulse Radar." Journal of Physics: Conference Series 2290, no. 1 (2022): 012056. http://dx.doi.org/10.1088/1742-6596/2290/1/012056.

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Abstract Calibration is an effective method for improving digital monopulse radar tracking performance since it can eliminate the amplitude-phase imbalance between channels. Fast and accurate alignment between the antenna under test and the probe is an important part of the calibration. however, the narrow beam and high gain of a millimetre-wave band antenna pose a challenge to the alignment. To tackle this problem, we propose an improved alignment method based on the gradient feature of the radar radiation pattern. The method incorporates adaptive moment estimation to resist noise in the iter

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38

Naud, C. M., J. P. Muller, E. E. Clothiaux, B. A. Baum, and W. P. Menzel. "Intercomparison of multiple years of MODIS, MISR and radar cloud-top heights." Annales Geophysicae 23, no. 7 (2005): 2415–24. http://dx.doi.org/10.5194/angeo-23-2415-2005.

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Abstract. Radar cloud-top heights were retrieved at both the Chilbolton Facility for Atmospheric and Radio Research, UK (CFARR) and the ARM Southern Great Plain site, USA (SGP), using millimetre wave cloud radars and identical algorithms. The resulting cloud-top heights were used for comparison with MODIS and MISR retrieved cloud-top heights, from March 2000 to October 2003. Both imaging instruments reside on the NASA Earth Observing System (EOS) Terra platform launched in 1999. MODIS and MISR cloud-top products were from the recent collections (4 and 3, respectively) that cover the entire mis

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39

Feng, Mingchi, Yunkun Chen, Taixiong Zheng, Ming Cen, and Hong Xiao. "Research on Information Fusion Method of Millimetre Wave Radar and Monocular Camera for Intelligent Vehicle." Journal of Physics: Conference Series 1314 (October 2019): 012059. http://dx.doi.org/10.1088/1742-6596/1314/1/012059.

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40

Yi, K., N. Ryu, H. J. Yoon, K. Huh, D. Cho, and I. Moon. "Implementation and vehicle tests of a vehicle stop-and-go cruise control system." Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering 216, no. 7 (2002): 537–44. http://dx.doi.org/10.1243/095440702760178479.

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Implementation and vehicle tests of a vehicle longitudinal control algorithm for stop-and-go cruise control have been performed. The vehicle longitudinal control scheme consists of a set-speed control algorithm, a speed control algorithm, and a distance control algorithm. A desired acceleration for the vehicle for the control of vehicle-to-vehicle relative speed and clearance has been designed using linear quadratic optimal control theory. Performance of the control algorithm has been investigated via vehicle tests. Vehicle tests have been conducted using two test vehicles. A 2000 cm3 passenge

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41

De, Abhirup. "A Conceptual Framework for Multi-Sensor Human Detection in Intelligent Perimeter Security Systems." International Journal for Research in Applied Science and Engineering Technology 13, no. 6 (2025): 1971–98. https://doi.org/10.22214/ijraset.2025.72468.

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In an era increasingly defined by smart technologies and real-time data-driven systems, securing perimeters against unauthorized intrusions has become paramount. This research proposes a low-cost, intelligent, and power-efficient perimeter protection system that integrates multi-modal sensors—namely the HLK-LD2410B millimetre-wave radar and the Adafruit AMG8833 thermal infrared sensor—with image capture via the ESP32-CAM and centralized control through the ESP8266 microcontroller. The core novelty lies in a dual-stage machine learning pipeline that fuses thermal and visual data to accurately d

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42

Bertl, S., A. Dallinger, and J. Detlefsen. "Bistatic extension for coherent MMW-ISAR-Imaging of objects and humans." Advances in Radio Science 6 (May 26, 2008): 63–66. http://dx.doi.org/10.5194/ars-6-63-2008.

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Abstract. We present a bistatic extension of a broadband monostatic FMCW Radar working in the Millimetre-Wave (MMW) region and its bistatic imaging properties used for imaging purposes. Due to the different perspective of a bistatic setup compared to a monostatic one, additional information can be obtained. A wide bandwidth of approx. 10 GHz is used for the task of high resolution imaging as it could be used for the detection of threats at a person's body in security-sensitive environments. Since MMWs propagate easily through common clothing, it is feasible to image objects like concealed weap

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43

Schwäbig, Christopher, Siying Wang, and Sabine Gütgemann. "Development of a millimetre wave based SAR real-time imaging system for three-dimensional non-destructive testing." tm - Technisches Messen 88, no. 7-8 (2021): 488–97. http://dx.doi.org/10.1515/teme-2021-0029.

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Abstract The following article describes the development of a millimetre wave based real-time imaging system for three dimensional non-destructive testing of goods. For this purpose a rotating antenna is used which is fed from an FMCW radar. The received measuring data is processed with a SAR algorithm. Due to the fact that a reflexive measurement method is used, the integration of the system into existing systems is simplified. To make the computing power-intensive SAR image processing possible, the complete signal processing chain of the image processing is executed on the graphics card. The

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44

Sharma, Rahul, Okan Yurduseven, Bhabesh Deka, and Vincent Fusco. "HARDWARE ENABLED ACCELERATION OF NEAR-FIELD CODED APERTURE RADAR PHYSICAL MODEL FOR MILLIMETRE-WAVE COMPUTATIONAL IMAGING." Progress In Electromagnetics Research B 90 (2021): 91–108. http://dx.doi.org/10.2528/pierb20112305.

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45

Sharma, Rahul, Okan Yurduseven, Bhabesh Deka, and Vincent Fusco. "HARDWARE ENABLED ACCELERATION OF NEAR-FIELD CODED APERTURE RADAR PHYSICAL MODEL FOR MILLIMETRE-WAVE COMPUTATIONAL IMAGING." Progress In Electromagnetics Research B 90 (2021): 91–108. http://dx.doi.org/10.2528/pierb20112305.

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46

Li, Lifu, Wenying Zhang, Yi Liang, and Hui Zhou. "Preceding Vehicle Detection Method Based on Information Fusion of Millimetre Wave Radar and Deep Learning Vision." Journal of Physics: Conference Series 1314 (October 2019): 012063. http://dx.doi.org/10.1088/1742-6596/1314/1/012063.

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47

Qasem, Ahmad, Oliver Shay, Catherine Liao, Mark Butlin, and Alberto Avolio. "2.1 Derivation of Central Aortic Pressure Using the Radial Pulse Waveform Acquired by Millimetre-Wave Radar." Artery Research 25, Supplement 1 (2020): S7. http://dx.doi.org/10.2991/artres.k.191224.006.

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48

Jiang, Pai, Yanping Chen, Bolong Zhao, Mengqiang Zou, Xiaowei Liu, and Yu Liu. "Heading estimation algorithm for pedestrian navigation using a dual-foot-mounted IMU with a millimetre wave radar." Measurement 239 (January 2025): 115497. http://dx.doi.org/10.1016/j.measurement.2024.115497.

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49

Brooker, Graham, Mark Bishop, and Ross Hennessy. "EVOLUTION OF A SUITE OF SMART MILLIMETRE WAVE RADAR SYSTEMS FOR SITUATIONAL AWARENESS AND AUTOMATION IN MINES." International Journal on Smart Sensing and Intelligent Systems 1, no. 2 (2008): 315–53. http://dx.doi.org/10.21307/ijssis-2017-293.

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Rodenbeck, C. T., and J. B. Beun. "Identifying the operation of a parked car's engine, transmission, and door using millimetre wave pulse Doppler radar." Electronics Letters 56, no. 18 (2020): 959–61. http://dx.doi.org/10.1049/el.2020.0386.

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