Results 61 to 70 of about 2,822,972 (301)
Genetic Algorithm Assisted Error Probability Optimisation for Beamforming
A novel Genetic Algorithm (GA) assisted direct error probability optimisation technique is proposed for adaptive beamforming, which reduces the achievable error probability by nearly two orders of magnitude at a signal-to-noise ratio of 10dB in the ...
Ahmad, N.N.+3 more
core +1 more source
Efficient 2D adaptive beamforming algorithm based on sparse array optimisation
In this study, a 2D adaptive beamforming algorithm for sparse array is proposed. Firstly, a signal model based on matrix completion theory for adaptive beamforming in sparse array is established, which is proved to satisfy null space property.
Chaoyu Wang+3 more
doaj +1 more source
State of the Art of Low‐Frequency Acoustic Modulation: Intensity Enhancement and Directional Control
High intensity low‐frequency sound sources hold significant value in many fields. However, their long wavelength, strong penetrability, and tendency to diffract make direction control and intensity enhancement challenging. Acoustic generators and metamaterial‐based acoustic devices still face issues such as low energy efficiency, poor directional ...
Jingsong Xu+13 more
wiley +1 more source
Low-Complexity Robust Capon Beamforming Based on Reduced-Rank Technique
Existing robust Capon beamformers achieve robustness against steering vector errors at a high cost in terms of computational complexity. Computationally efficient robust Capon beamforming approach based on the reduced-rank technique is proposed in this ...
Zaifang Xi+4 more
doaj +1 more source
Multi-Beam Radar Communication Integrated System Design
In this paper, we propose a multi-beam integrated radar and communication scheme using phased-array antenna, in which the same LFM-BPSK integrated waveform is used for both the radar and the communication beams.
Hao Ma, Jun Wang, Xin Sun, Wenxin Jin
doaj +1 more source
Knowledge-aided adaptive beamforming
In array processing, when the available snapshot number is comparable with or even smaller than the sensor number, the sample covariance matrix R is a poor estimate of the true covariance matrix R. To estimate R more accurately, prior environmental knowledge can be used, which is manifested as knowing an a priori covariance matrix R0.
Xumin Zhu, Jian Li, Petre Stoica
openaire +3 more sources
A new analytical pipeline, FREQuency‐resolved Network Estimation via Source Separation (FREQ‐NESS), reveals how the brain at rest is organized in frequency‐specific networks and dynamically rearranges during auditory stimulation. By analyzing source‐reconstructed magnetoencephalography (MEG) data, FREQ‐NESS uncovers the networks' prominence, spatial ...
Mattia Rosso+6 more
wiley +1 more source
Reconstructing the interference-plus-noise covariance matrix instead of searching for the optimal diagonal loading factor for the sample covariance matrix is a good method for calculating the adaptive beamforming coefficients.
Yuguan Hou+5 more
doaj +1 more source
Development and implementation of an adaptive digital beamforming network for satellite communication systems [PDF]
The use of adaptive digital beamforming techniques has, until recently, been largely restricted to high performance military radar systems. Recent advances in digital technology, however, have enabled the design of single chip digital beamforming ...
Barrett, M+1 more
core +1 more source
Perturbation-based Distributed Beamforming for Wireless Relay Networks
This paper deals with distributed beamforming techniques for wireless networks with half-duplex amplify-and-forward relays. Existing schemes optimize the beamforming weights based on the assumption that channel state information (CSI) is available at the
Fertl, Peter+2 more
core +1 more source