- 标题
- 摘要
- 关键词
- 实验方案
- 产品
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[IEEE 2018 International Conference on Radar (RADAR) - Brisbane, Australia (2018.8.27-2018.8.31)] 2018 International Conference on Radar (RADAR) - Predicting Phased Array Radar Performance Through Modelling
摘要： Modelling and simulation can reduce risk associated with complex radar system development because design choices can be validated before any hardware is developed. Models can also be used to accelerate algorithm development for existing radar systems. This paper describes the modelling results for two phased array radar designs: an MTI radar and a MIMO radar. These systems were modelled and then tested with radar data generated with commercially available radar hardware. The performance results for both models and the hardware-fed processing are analyzed and compared.
关键词： Radar Modelling,MTI Radar,MIMO Radar,Radar Simulation
更新于2025-09-23 15:22:29
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[IEEE 2019 Device Research Conference (DRC) - Ann Arbor, MI, USA (2019.6.23-2019.6.26)] 2019 Device Research Conference (DRC) - Field Effect and Raman Characterization of Self-Assembled Mos <sub/>2</sub> Nanoscrolls
摘要： In bistatic multiple input multiple output (MIMO) radar, more number of detectable incident signals and a higher angle estimation performance can be obtained by using conjugate estimation of signal parameters via rotational invariance techniques (ESPRITs) with the characteristic of noncircularity. The result is achieved under the assumption that all the received signals are noncircular. When the incident signals are the coexistence of noncircular and circular signals, the conjugate ESPRIT will not valuable. Therefore, this paper proposes a method of the joint of direction of departure (DOD) and direction of arrival (DOA) estimation, which is appropriate for the coexistence of noncircular and circular signals in bistatic MIMO radar. First, the received data model of the bistatic MIMO radar is given. Second, we modify the received signal model by the use of noncircularity characteristic. Third, we derive out the equation of spatially rotational invariant containing the DOD and DOA information. Last, we solve the equation to obtain the DOD and DOA by means of total least squares technology. The proposed algorithm has the three advantages. One is that it has better angle estimation accuracy than that of method which does not use the noncircularity characteristic. Another one is that it has more number of detectable incident signals. The last one is that the more number of noncircular signals, the higher angle estimation accuracy will be. Results from numerical experiments are used to show the effectiveness of our proposed algorithm.
关键词： ESPRIT,noncircular,DOA estimation,MIMO radar,Array signal processing
更新于2025-09-23 15:21:01
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A Compact 24x 24 Channel MIMO FMCW Radar System Using a Substrate Integrated Waveguide-Based Reference Distribution Backplane
摘要： In this article a compact 120-GHz multiple-input-multiple-output (MIMO) imaging radar is presented. With a module size of only 25 cm, an angular resolution of less than 0.9? is obtained in elevation and azimuth direction using 24 transmitters and 24 receivers. The hardware is based on a SiGe:C MMIC technology and integrated into a modular frontend and backend structure. This article presents the overall hardware architecture of the RF-frontend, including a novel reference oscillator distribution concept and a connectorless board-to-board transition based on substrate integrated waveguides. A fully integrated backend is shown, and the entire radar system is evaluated experimentally and the imaging results are presented, demonstrating the large potential of the presented millimeter-wave 3-D imaging radar.
关键词： multiple-input-multiple-output (MIMO) radar,substrate integrated waveguides (SIWs),Millimeter-wave sensing
更新于2025-09-23 15:21:01
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[IEEE 2020 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus) - St. Petersburg and Moscow, Russia (2020.1.27-2020.1.30)] 2020 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus) - Investigation of the Laser Radiation Effect on the Viability and Functional Activity of Prokaryotic and Eukaryotic Cells
摘要： In bistatic multiple input multiple output (MIMO) radar, more number of detectable incident signals and a higher angle estimation performance can be obtained by using conjugate estimation of signal parameters via rotational invariance techniques (ESPRITs) with the characteristic of noncircularity. The result is achieved under the assumption that all the received signals are noncircular. When the incident signals are the coexistence of noncircular and circular signals, the conjugate ESPRIT will not valuable. Therefore, this paper proposes a method of the joint of direction of departure (DOD) and direction of arrival (DOA) estimation, which is appropriate for the coexistence of noncircular and circular signals in bistatic MIMO radar. First, the received data model of the bistatic MIMO radar is given. Second, we modify the received signal model by the use of noncircularity characteristic. Third, we derive out the equation of spatially rotational invariant containing the DOD and DOA information. Last, we solve the equation to obtain the DOD and DOA by means of total least squares technology. The proposed algorithm has the three advantages. One is that it has better angle estimation accuracy than that of method which does not use the noncircularity characteristic. Another one is that it has more number of detectable incident signals. The last one is that the more number of noncircular signals, the higher angle estimation accuracy will be. Results from numerical experiments are used to show the effectiveness of our proposed algorithm.
关键词： noncircular,MIMO radar,ESPRIT,Array signal processing,DOA estimation
更新于2025-09-23 15:19:57
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[IEEE 2017 IEEE 17th International Conference on Communication Technology (ICCT) - Chengdu (2017.10.27-2017.10.30)] 2017 IEEE 17th International Conference on Communication Technology (ICCT) - Power allocation for multiple targets localization in distributed MIMO radar system
摘要： To improve the resource utilization for MIMO radar system in multiple tasks model, a power allocation algorithm is proposed for multiple targets localization. The Cramer-Rao bound (CRB) is used to be the measurement metric for location estimation. The minimal transmit power budget is used as the cost function. Restricted by different localization mean square error (MSE) requirements, a power allocation model is established, and the corresponding optimization problem is solved by Sequential Parametric Convex Approximation (SPCA) algorithm. The simulation results indicate that under different system layout and target Radar Cross Section (RCS), the proposed allocation algorithm can improve the resource utilization by using much less power budget than uniform allocation.
关键词： power allocation,distributed MIMO radar,target localization
更新于2025-09-19 17:15:36
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[IEEE 2019 IEEE 8th Global Conference on Consumer Electronics (GCCE) - Osaka, Japan (2019.10.15-2019.10.18)] 2019 IEEE 8th Global Conference on Consumer Electronics (GCCE) - A Universal VLC Modulator for Retrofitting LED Lighting and Signage
摘要： The Advanced Radar Geosynchronous Observation System is proposed to be a multiple-input–multiple-output synthetic aperture radar (SAR) system hosted on a swarm of minisatellites in quasi-geostationary orbits. The system is made of N iso-frequency sensors, each of them transmitting and receiving the signals. The system would combine the continuous imaging capabilities of a geostationary SAR, gaining a factor N 2 in signal-to-noise ratio (SNR). The real aperture would be achievable in ～40 min, enabling applications so far unseen, such as monitoring fast deformations, landslides, and other applications for emergency and security. Still, the SNR of the long acquisition time would be conserved. The optimal design of the swarm is addressed, in order to trade resolution, coverage, and revisit time.
关键词： synthetic aperture radar (SAR),spaceborne radar,Earth Observing System,radar interferometry,multiple-input–multiple-output (MIMO) radar
更新于2025-09-19 17:13:59
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[IEEE IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium - Valencia, Spain (2018.7.22-2018.7.27)] IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium - IBIS-ArcSAR: an Innovative Ground-Based SAR System for Slope Monitoring
摘要： In the last decade Ground-Based SAR (GB-SAR) technology has been demonstrated to be one of the most efficient tool for slope monitoring in open pit mines scenarios. However, especially for open pit mines application, one of the relevant limits is the azimuth coverage, being the mine often of elliptical shape. In this context, the IBIS-FM product of IDS GeoRadar company can reach about 80° of horizontal coverage, and can be overcome by IBIS-Rover product that can reach 270° of horizontal coverage but increasing the acquisition time. The recent IBIS-ArcSAR product developed by IDS GeoRadar can overcome these limits, offering a full 360° of horizontal coverage in less than 1 minute of acquisition time, with additional feature of a constant angular resolution. Moreover, by exploiting the new capability of MIMO (Multiple Input Multiple Output) Radar channels, the vertical height or Digital Elevation Model (DEM) of the mine can be reconstructed through simple and computationally fast interferometric processing algorithms, together with an enhanced focusing of 2D SAR Image that is an open issue in Arc-scanning SAR systems.
关键词： Interferometry,Ground-based Synthetic Aperture Radar,Digital Elevation Models,MIMO Radar,Radar Imaging
更新于2025-09-10 09:29:36
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[IEEE IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium - Valencia, Spain (2018.7.22-2018.7.27)] IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium - Airship Based MIMO Radar: Analysis of Imaging and Interferometric Performances
摘要： We study the imaging and interferometric performances of a MIMO radar on board of an airship as alternative to airborne and spaceborne SAR remote sensing techniques. Four different MIMO radar arrays are designed working in L, C, X and Ku frequency bands. A frequency bandwidth of 250 MHz has been considered for the MIMO radars. The spatial resolution is 0.6 m in range and 0.3 degree in azimuth. The imaging and interferometric performances of the MIMO radar are analyzed in terms of the airship stability. A synthetic raw data set is generated assuming a target deployed on a flat area at different azimuth angle. This MIMO imaging solution is intended for continuous imaging over an area of interest.
关键词： Synthetic Aperture Radar (SAR),interferometry,MIMO radar,airship,Persistent imaging
更新于2025-09-10 09:29:36
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[IEEE 2018 Second International Conference on Inventive Communication and Computational Technologies (ICICCT) - Coimbatore (2018.4.20-2018.4.21)] 2018 Second International Conference on Inventive Communication and Computational Technologies (ICICCT) - Beamforming Using Phased Coprime MIMO Radar
摘要： This paper proposes a new method of beamforming for colocated MIMO radar with the coprime arrays. The proposed method splits the transmitting array into multiple overlapped subarrays and then transmits a coherent signal through each subarray, to achieve a maximum power in the desired direction. However, the signals from distinct subarrays are independent to preserve the diversity bene?t of the MIMO radar. Thus, the proposed method exploits the advantages of both phased array and MIMO radars as well as the coprime arrays. Simulation results are presented to signify the beampattern and the signal to interference plus noise ratio performance of the proposed method and to compare with the earlier methods such as phased array radar, MIMO radar and the coprime MIMO radar.
关键词： Phased array radar,MVDR,MIMO radar,Coprime array
更新于2025-09-10 09:29:36
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[IEEE 2018 15th European Radar Conference (EuRAD) - Madrid, Spain (2018.9.26-2018.9.28)] 2018 15th European Radar Conference (EuRAD) - Joint Super-Resolution and Array Interpolation for MIMO Radar Virtual Arrays
摘要： Multiple-input multiple-output (MIMO) radars offer increased angular resolutions compared to conventional radars, based on a virtual enlargement of the physical antenna array by means of digital signal processing. In this paper, we show that the angular resolution of MIMO radars can be further increased by combining MIMO processing with an array extrapolation method based on Burg’s algorithm. Moreover, we demonstrate that Burg’s algorithm is also able to interpolate missing virtual antenna elements caused by failure of physical receive antennas. Measurements conducted with Hensoldt’s compact 3D MIMO radar demonstrator serve as a basis to validate our findings.
关键词： angular resolution,array extrapolation,MIMO radar,array interpolation,Burg’s algorithm
更新于2025-09-10 09:29:36