Results 161 to 170 of about 27,142 (205)
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Source-oriented adaptive beamforming
Circuits, Systems, and Signal Processing, 1983A system concept expected to improve sonar multiple target detection and classification performance in severe directional interference environments is presented. Adaptive nulling of undesired strong interference sources and detection of desired weak sources are achieved by utilizing constrained adaptive processing techniquestogether with conventional ...
Morgera, Salvatore D. +1 more
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2009
In this chapter, we first review the background, basic principle and structure of adaptive beamformers. Since there are many robust adaptive beamforming methods proposed in literature, for easy understanding, we organize them into two categories from the mathematical point of view: one is based on quadratic optimization with linear and nonlinear ...
Zhu Liang Yu +3 more
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In this chapter, we first review the background, basic principle and structure of adaptive beamformers. Since there are many robust adaptive beamforming methods proposed in literature, for easy understanding, we organize them into two categories from the mathematical point of view: one is based on quadratic optimization with linear and nonlinear ...
Zhu Liang Yu +3 more
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Adaptive monopulse beamforming
Proceedings of the IEEE, 1976A new receive-array adaptive beamformer configuration is presented. The array output signal consists of the difference between a conventionally weighted beam and an adaptive beam that is constrained to have a spatial null in the direction of interest. Adaptation then provides minimum total array output power.
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2001
This chapter presents robust adaptive beamforming techniques designed specifically for microphone array applications. The basics of adaptive beamformers are first reviewed with the Griffiths-Jim beamformer (GJBF). Its robustness problems caused by steering vector errors are then discussed with some conventionally proposed robust beamformers.
Osamu Hoshuyama, Akihiko Sugiyama
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This chapter presents robust adaptive beamforming techniques designed specifically for microphone array applications. The basics of adaptive beamformers are first reviewed with the Griffiths-Jim beamformer (GJBF). Its robustness problems caused by steering vector errors are then discussed with some conventionally proposed robust beamformers.
Osamu Hoshuyama, Akihiko Sugiyama
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Adaptive Beamforming Assisted ReceiverAdaptive Beamforming
2009Adaptive 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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Novel Robust Adaptive Beamforming
2012 IEEE 75th Vehicular Technology Conference (VTC Spring), 2012Diagonal loading (DL) is one of the widely used techniques against the errors due to steering vector mismatch and finite sample effect. Recently, a variable loading (VL) has shown its advantages over the DL due to using different loading for each eigenvalue of the correlation matrix of the received array data rather than a fixed loading for all of the ...
Chia-Cheng Huang, Ju-Hong Lee
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Fast rank-adaptive beamforming
Proceedings of the 2000 IEEE Sensor Array and Multichannel Signal Processing Workshop. SAM 2000 (Cat. No.00EX410), 2002This paper is concerned with the construction of an adaptive beamformer, which uses the dominant subspace information of a sample covariance matrix. We assume that the sample covariance matrix and its eigenvalue decomposition (EVD) are to be updated as data arrive.
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Adaptive Beamforming and Postfiltering
2008In this chapter, we explore many of the basic concepts of array processing with an emphasis on adaptive beamforming for speech enhancement applications. We begin in Sect. 47.1 by formulating the problem of microphone array in a noisy and reverberant environment. In Sect.
Sharon Gannot, Israel Cohen
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2012
DBF architectures provide significant functionality enhancements for phased array radar. At the current state of digital technology, element-level DBF is often impractical for large arrays operating at high frequencies, so subarray level implementations are commonly used to reduce the digital receiver count.
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DBF architectures provide significant functionality enhancements for phased array radar. At the current state of digital technology, element-level DBF is often impractical for large arrays operating at high frequencies, so subarray level implementations are commonly used to reduce the digital receiver count.
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Single-Snapshot Adaptive Beamforming
2018 IEEE 10th Sensor Array and Multichannel Signal Processing Workshop (SAM), 2018Adaptive beamformers are sensitive to model mismatch, especially when the number of training samples is small or the training samples are contaminated by the signal component. In this paper, we consider an extreme scenario where only a single signal-contaminated snapshot is available for adaptive beamformer design.
Yujie Gu, Yimin D. Zhang
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