Results 31 to 40 of about 12,873 (180)

High Fidelity Physics Simulation of 128 Channel MIMO Sensor for 77GHz Automotive Radar

open access: yesIEEE Access, 2020
Automotive radar is one of the enabling technologies for advanced driver assistance systems (ADAS) and subsequently fully autonomous vehicles. Along with determining the range and velocity of targets with fairly high resolution, autonomous vehicles ...
Ushemadzoro Chipengo   +2 more
doaj   +1 more source

Robust MIMO Beamforming for Cellular and Radar Coexistence [PDF]

open access: yes, 2017
In this letter, we consider the coexistence and spectrum sharing between downlink multi-user multiple-input-multiple-output (MU-MIMO) communication and an MIMO radar. For a given performance requirement of the downlink communication system, we design the
Li, A   +3 more
core   +2 more sources

The Spatially Separated Polarization Sensitive FDA-MIMO Radar: A New Antenna Structure for Unambiguous Parameter Estimation

open access: yesMATEC Web of Conferences, 2018
Joint DOA-range-polarization estimation with a novel radar system, i.e., spatially separated polarization sensitive random frequency diverse array based on multiple-input multiple-output (SS-PSRFDA-MIMO) radar, is discussed. The proposed array can obtain
Li Binbin   +5 more
doaj   +1 more source

Airborne FDA-MIMO Radar Modeling and Detection Performance Analysis [PDF]

open access: yesRadioengineering, 2021
In the conventional frequency diverse array (FDA) radar designs, generalized likelihood ratio test (GLRT) detection utilizes coherent pulses. However, the impacts of an FDA multiple-input multiple-output (FDA-MIMO) radar system for detection with ...
Y. S. Yan   +3 more
doaj  

Research on main‐lobe deceptive jamming against FDA‐MIMO radar

open access: yesIET Radar, Sonar & Navigation, 2021
A multiple‐input multiple‐output (MIMO) radar with frequency diverse array (FDA) produces a range‐angle‐dependent steering vector, which can suppress the deceptive jamming in joint range‐angle domain.
Yingjian Zhao   +5 more
doaj   +1 more source

Ground Clutter Mitigation for Slow-Time MIMO Radar Using Independent Component Analysis

open access: yesRemote Sensing, 2022
The detection of low, slow and small (LSS) targets, such as small drones, is a developing area of research in radar, wherein the presence of ground clutter can be quite challenging.
Fawei Yang   +5 more
doaj   +1 more source

Othogonal Waveform Design for Multiple-Input Multiple-Output (MIMO) Radar

open access: yesOpen Journal of Applied Sciences, 2012
An effective numerical approach is developed for orthogonal waveform design for Multiple-Input Multiple-Output (MIMO) radar. The Doppler shift tolerance is considered in the design cost function. The design results indicate that the Doppler  tolerance of the designed orthogonal waveforms is markedly improved.
openaire   +1 more source

MIMO SAR Using Orthogonal Coding: Design, Performance Analysis, and Verifications

open access: yesInternational Journal of Antennas and Propagation, 2015
Multiple-input multiple-output (MIMO) synthetic aperture radar (SAR) is a promising technology in radar imaging which provides a better balance of azimuth resolution and swath width compared with traditional single-input single-output (SISO) SAR.
Yueguan Lin   +4 more
doaj   +1 more source

Overview of Space-Time Adaptive Processing for Airborne Multiple-Input Multiple-Output Radar

open access: yesLeida xuebao, 2015
Multiple-Input Multiple-Output (MIMO) radar is an emerging radar system that is of great interest to military and academic organizations due to its advantages and extensive applications.
Wang Ting, Zhao Yong-jun, Hu Tao
doaj   +1 more source

Local Degree of Freedom of Clutter for Reduced-Dimension Space-Time Adaptive Processing with MIMO Radar

open access: yesInternational Journal of Antennas and Propagation, 2018
Degree of freedom (DOF) of clutter in the reduced-dimension (RD) domain, which is called local DOF (LDOF), is of great importance for RD MIMO-STAP (space-time adaptive processing for multiple-input multiple-output radar) algorithms.
Yiduo Guo, Jian Gong, Yu Xiao
doaj   +1 more source

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