Topic
Adaptive beamformer
About: Adaptive beamformer is a research topic. Over the lifetime, 4934 publications have been published within this topic receiving 93100 citations.
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19 Sep 1999TL;DR: In this paper, a simple adaptive procedure for computing the suboptimal weight vector of an array system operating at the cell-site is introduced, and the performance of the array system provided by the proposed beamformer is shown in three typical cases of multipath fading wideband CDMA channel.
Abstract: We introduce a simple adaptive procedure for computing the suboptimal weight vector of an array system operating at the cell-site. The total computational load for computing the primary eigenvector of the generalized eigen-problem is only O(8.5N) including the matrices updates. The performance of the array system provided by the proposed beamformer is shown in 3 typical cases of multipath fading wideband CDMA channel.
34 citations
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TL;DR: Direction transmission based on adaptive beamforming in which multiple vehicles are served at the same time using multiple directional beams is considered, which represents one promising technology that could improve the capacity of vehicle-to-infrastructure (V2I) communication.
Abstract: We herein consider directional transmission based on adaptive beamforming in which multiple vehicles are served at the same time using multiple directional beams; this represents one promising technology that could improve the capacity of vehicle-to-infrastructure (V2I) communication. We propose an iterative resource-allocation method to maximize the capacity of V2I communication by taking into proper account the interference between directional beams, which reduces capacity. We also consider a heuristic resource allocation scheme, which has significantly less computational complexity than the iterative scheme and negligible performance degradation. We make use of computer simulations to show that the capacity of V2I communication can be improved using our proposed schemes.
34 citations
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25 Jul 2004
TL;DR: This paper presents a performance evaluation of robust algorithms for direction finding and adaptive beamforming used in the design of smart antenna systems and a simulation tool with a graphical user interface which implements these algorithms.
Abstract: This paper presents a performance evaluation of robust algorithms for direction finding and adaptive beamforming used in the design of smart antenna systems. A simulation tool with a graphical user interface which implements these algorithms is developed. Results of numerical simulation are used to design smart antennas systems with optimal performance.
34 citations
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01 Oct 2008TL;DR: This paper provides a comprehensive review of user parameter-free robust adaptive beamforming algorithms, including ridge regression Capon beamformers (RRCBs), the mid-way (MW) algorithm, the shrinkage based approaches, and iterative beamforms algorithms, namely the iterative adaptive approach (IAA), maximum likelihood based IAA and M-SBL (multi-snapshot sparse Bayesian learning).
Abstract: This paper provides a comprehensive review of user parameter-free robust adaptive beamforming algorithms, including ridge regression Capon beamformers (RRCBs), the mid-way (MW) algorithm, the shrinkage based approaches, and iterative beamforming algorithms, namely the iterative adaptive approach (IAA), maximum likelihood based IAA (IAA-ML) and M-SBL (multi-snapshot sparse Bayesian learning). The purpose of these algorithms is to mitigate the negative effects of model errors on the standard Capon beamformer (SCB). We provide a thorough evaluation of these methods under various scenarios and give insights into which algorithm is the best choice under which circumstances.
34 citations
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TL;DR: The subarray design problem is formulated as an iterative convex relaxation model and solved using some steps subtly, and the scanning sidelobe level is adopted to retrieve the optimal configuration among the found solutions.
Abstract: Subarray design technique is widely employed in the design of planar phased arrays. However, it is hard to obtain full coverage and good radiation performance with the given shape of subarrays and array aperture. In this letter, the subarray design problem is formulated as an iterative convex relaxation model and solved using some steps subtly. Besides, the scanning sidelobe level is adopted to retrieve the optimal configuration among the found solutions. Numerical experiments are carried out to assess the performance of the proposed method as well as the inherent superiority in adaptive beamforming.
34 citations