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116
Joint beamforming and scheduling for a multiantenna downlink with imperfect transmitter channel knowledge
- IEEE J. Select. Areas Commun
, 2007
"... We consider the downlink of a wireless system where the base-station has M ≥ 1 antennas and K user terminals have one antenna each. We study the weighted rate sum maximization in the case of non-perfect Channel State Information at the Transmitter (CSIT). Some relevant downlink optimization problems ..."
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Cited by 22 (4 self)
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. Even under this simplifying condition, the problem at hand is non-convex and it does not appear to lend itself to a simple algorithmic solution. Therefore, we intro-duce some approximations that yield a definition of signal-to-interference plus noise ratio (SINR) commonly used in the classical array-processing/beamforming
On Microphone-Array Beamforming From a MIMO Acoustic Signal Processing Perspective
- IEEE Transactions on Audio, Speech and Language Processing
, 2007
"... Abstract—Although many microphone-array beamforming algorithms have been developed over the past few decades, most such algorithms so far can only offer limited performance in practical acoustic environments. The reason behind this has not been fully understood and further research on this matter is ..."
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Cited by 15 (6 self)
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Abstract—Although many microphone-array beamforming algorithms have been developed over the past few decades, most such algorithms so far can only offer limited performance in practical acoustic environments. The reason behind this has not been fully understood and further research on this matter
and Array Processing Techniques
"... � This is a nice tutorial. Good introduction to the topic, including several classical adaptive beamforming techniques. ..."
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� This is a nice tutorial. Good introduction to the topic, including several classical adaptive beamforming techniques.
1 Mean-Squared Error Beamforming for Signal Estimation: A Competitive Approach
"... Beamforming is a classical method of processing temporal sensor array measure-ments for signal estimation, interference cancellation, source direction, and spectrum estimation. It has ubiquitously been applied in areas such as radar, sonar, wire-less communications, speech processing, and medical im ..."
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Beamforming is a classical method of processing temporal sensor array measure-ments for signal estimation, interference cancellation, source direction, and spectrum estimation. It has ubiquitously been applied in areas such as radar, sonar, wire-less communications, speech processing, and medical
xxxiii Competitive Mean-Squared Error Beamforming
"... Abstract Beamforming methods are used extensively in a variety of different areas, where one of their main goals is to estimate the source signal amplitude s(t) from the array observations y(t) = s(t)a + i(t) + e(t), t = 1,2,..., where a is the steering vector, i(t) is the interference, and e(t) is ..."
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Abstract Beamforming methods are used extensively in a variety of different areas, where one of their main goals is to estimate the source signal amplitude s(t) from the array observations y(t) = s(t)a + i(t) + e(t), t = 1,2,..., where a is the steering vector, i(t) is the interference, and e
Constant Beamwidth Beamforming Using an Affine Phase Multi-Beamformer
"... \Gamma sin OE ' (3) where the addends represent the locations of the nulls flanking the main beam. In narrow-band beamformers, which comprise a large fraction of arrays discussed in the literature, the inverse proportionality of beamwidth with respect to frequency is generally insignificant ..."
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\Gamma sin OE ' (3) where the addends represent the locations of the nulls flanking the main beam. In narrow-band beamformers, which comprise a large fraction of arrays discussed in the literature, the inverse proportionality of beamwidth with respect to frequency is generally
APPLICATION OF ROBUST CAPON BEAMFORMING TO RADIO ASTRONOMICAL IMAGING
"... Radio telescopes based on large phased arrays form an interesting application area for array signal processing. LOFAR is a large low frequency (10Mz–240MHz) array consisting of 13,000 antennas grouped into 50 stations, currently under construction in the Netherlands. Data from a 60-element test stat ..."
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Radio telescopes based on large phased arrays form an interesting application area for array signal processing. LOFAR is a large low frequency (10Mz–240MHz) array consisting of 13,000 antennas grouped into 50 stations, currently under construction in the Netherlands. Data from a 60-element test
AN ALTERNATE APPROACH TO ADAPTIVE BEAMFORMING USING SRP-PHAT
"... An important application for microphone arrays is to extract highquality output from a single wideband source in multi-source and adverse environments. Methods based on blind-source separation and beamforming have been proposed in the literature. In this paper, we propose a new algorithm for isolati ..."
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Cited by 1 (0 self)
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An important application for microphone arrays is to extract highquality output from a single wideband source in multi-source and adverse environments. Methods based on blind-source separation and beamforming have been proposed in the literature. In this paper, we propose a new algorithm
OPTIMAL LINEAR RECEIVE BEAMFORMER FOR ULTRASONIC IMAGING IN NDT
"... Abstract: Phased arrays are relatively new tools that have been introduced to NDE in the recent decennium. Phased arrays have unquestionable advantages and open new possibilities of realtime ultrasonic imaging in NDE. However, the common way of designing focusing laws is based on the point source as ..."
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of a finite sized transducer both in transmission and reception. It has been shown that the lateral resolution offered by ESAFT is superior to the classical SAFT. Here, we propose a generalization of the ESAFT technique for phased arrays resulting in the Optimal Linear Receive Beamformer (OLIRB
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