Results 151 to 160 of about 10,533 (195)
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An improved eigenvector beamformer

ICASSP '84. IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005
Most techniques for computing beamformer tap weights do so by maximizing the overall signal-to-noise ratio at the system output, where noise includes both thermal noise and directional interference. This is the optimal solution if the two noise sources count equally.
Todd K. Citron, Thomas Kailath
openaire   +1 more source

On a modified Duvall beamformer

ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing, 2003
The authors are concerned with the use of derivative null constraints in an adaptive beamformer in the spatial and frequency domains with respect to the Duvall beamformer to obtain a modified Duvall beamformer. Simulation results demonstrate that the modified beamformer's performance is improved under the following conditions:L jammer frequencies are ...
B. Chang, N. Ahmed
openaire   +1 more source

Source localization and beamforming

IEEE Signal Processing Magazine, 2002
Distributed sensor networks have been proposed for a wide range of applications. The main purpose of a sensor network is to monitor an area, including detecting, identifying, localizing, and tracking one or more objects of interest. These networks may be used by the military in surveillance, reconnaissance, and combat scenarios or around the perimeter ...
Joe C. Chen, Kung Yao, Ralph E. Hudson
openaire   +1 more source

Smooth beamforming for OFDM

IEEE Transactions on Wireless Communications, 2009
This paper investigates the combination of beamforming and channel state information (CSI) smoothing for OFDM. While both can offer significant performance gains, care must be taken when using both of them at the same time. Two different sets of beamforming weights can produce the same beamforming gains but be unsuitable for CSI smoothing due to sudden
Magnus Sandell, Vishakan Ponnampalam
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An acousto-optic beamformer

The Journal of the Acoustical Society of America, 2012
There is a great variety of beamforming techniques that can be used for localization of sound sources. The differences among them usually lie in the array layout or in the specific signal processing algorithm used to compute the beamforming output.
Antoni, Torras-Rosell   +2 more
openaire   +2 more sources

Transfer Beamforming via Beamforming for Transfer

IEEE Transactions on Mobile Computing, 2023
Xueyuan Yang   +3 more
openaire   +1 more source

Opportunistic Beamforming with Single Beamforming Matrix for Virtual Antenna Arrays

2011 IEEE International Conference on Communications (ICC), 2011
Opportunistic beamforming is a promising technique for downlink channels in cellular systems. When opportunistic beamforming is to support multiple users at a time, it is important to form multiple beams with as little interference as possible. In the conventional approach with limited feedback of channel state information from users, the best ...
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A framework for beamforming structures

IEEE Transactions on Acoustics, Speech, and Signal Processing, 1987
A framework for describing linearly constrained minimum variance (LCMV) beamforming structures is presented. The framework results from factoring the processor impulse response into a weight vector and a matrix which describes the structure. Classes of structures with equivalent steady-state and adaptive performance are discussed.
Barry D. Van Veen, Richard Roberts
openaire   +1 more source

Adaptive Beamforming Assisted ReceiverAdaptive Beamforming

2009
Adaptive beamforming is capable of separating user signals transmitted on the same carrier frequency, and thus provides a practical means of supporting multiusers in a space-division multiple-access scenario. Moreover, for the sake of further improving the achievable bandwidth efficiency, high-throughput quadrature amplitude modulation (QAM) schemes ...
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Multiresolution Quadtree Beamformer

IEEE International Conference on Acoustics Speech and Signal Processing, 2002
The delay-sum beamformer (DSBF) is a space-time domain beamforming,method that performs coherent summation of sensor data. However, the computational complexity of finding the steered response over all angles is O(N3). In this paper, an O(N2log 2 N) space-time domain beamforming algorithm it is proposed.
Seung-Mok Oh, James H. McClellan
openaire   +1 more source

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