System-Level Hardware-Waveform Co-Design for Micro-UAV Radar Sensors: Suppressing Noise Folding in Extreme SWaP-C SSDBF Arrays. [PDF]
Dai X, Xie K, Wang Y.
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Massive MIMO joint beamforming and power allocation via LMS with narwhal lemming optimization and fractional ResNeXt-based control. [PDF]
Kamal MM +8 more
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Mainlobe Interference Suppression Based on POL-SPICE and Covariance Matrix Reconstruction for Polarization-Sensitive Arrays. [PDF]
Xiao B, He H, Wang L, Zhou T.
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A novel filtering T-shaped transmission line structure and its application in the design of reduced-size Butler matrix. [PDF]
Amangeldi Y +3 more
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MxArray: A Modular, Multiplexed, and Massive MEMS-Based Acoustic Array. [PDF]
Moreno R +5 more
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Unsupervised Neural Beamforming for Uplink MU-SIMO in 3GPP-Compliant Wireless Channels. [PDF]
Vahapoglu C +4 more
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Digital beamforming in sar systems
IEEE Transactions on Geoscience and Remote Sensing, 2003The rapid progression in digital hardware and signal processing capabilities stimulates the development of radar systems. The tendency is to move the digital interface toward the antenna, replacing, whenever possible, analog RF-hardware. Based on software codes, these digital systems are more flexible and easier to reconfigure than RF-hardware.
Marwan Younis
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Digital Beamforming - A Retrospective
2019 IEEE International Symposium on Phased Array System & Technology (PAST), 2019This paper summarizes the development of digital beamforming from its inception through today and provides some insights into its future. It highlights the contributions of Dr. Hans Steyskal in the early stages of digital beamforming development for radar applications.
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Digital Beamforming Techniques—A Comparison
Lecture Notes in Electrical Engineering, 2018This paper emphasizes on the beamforming techniques used in today’s systems. Multiple beamforming techniques such as the Minimum Variance Distortionless Response (MVDR) and Linear Constraint Minimum Variance (LCMV), to name a few, are used to improve the capacity and data rates of various systems such as cellular system.
Arun Kumar Singh
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Digital extrapolation beamforming
ICASSP '83. IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005More sensors are usually required in order to enhance the resolution of a beamformer and to improve its beam pattern. Due to physical and/or economical constraints this requirement cannot be met. This paper presents the results of an analytical and experimental study of the use of a signal extrapolation method in order to "synthetically" (without ...
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