Description: 一个鲁榜自适应Capon波束形成器(Robust Capon Beamforming)的实现算法。该算法是先进的，广泛使用在信号处理和通信领域的有效波束形成算法。-a list Capon adaptive beamforming (Robust Capon Beamforming) algorithm. The algorithm is an advanced, widely used in signal processing and communications, the effective beam forming algorithms. Platform: |
Size: 1125 |
Author:谢瑶 |
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Description: 一个鲁榜自适应Capon波束形成器(Robust Capon Beamforming)的实现算法。该算法是先进的，广泛使用在信号处理和通信领域的有效波束形成算法。-a list Capon adaptive beamforming (Robust Capon Beamforming) algorithm. The algorithm is an advanced, widely used in signal processing and communications, the effective beam forming algorithms. Platform: |
Size: 1024 |
Author:谢瑶 |
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Description: 稳健自适应波束形成，Wiley出版社，是一本有关MVDR波束形成稳健性分析的好书。-The latest research and developments in robust adaptive beamforming Recent work has made great strides toward devising robust adaptive beamformers that vastly improve signal strength against background noise and directional interference. This dynamic technology has diverse applications, including radar, sonar, acoustics, astronomy, seismology, communications, and medical imaging. There are also exciting emerging applications such as smart antennas for wireless communications, handheld ultrasound imaging systems, and directional hearing aids. Robust Adaptive Beamforming compiles the theories and work of leading researchers investigating various approaches in one comprehensive volume. Unlike previous efforts, these pioneering studies are based on theories that use an uncertainty set of the array steering vector. The researchers define their theories, explain their methodologies, and present their conclusions. Methods presented include: Coupling the standard Capon beamformers with a spher Platform: |
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Author:qc |
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Description: 现有的向量加权稳健波束形成方法只有在指向误差较小的情况下才能有效估计目标的信号功率；矩阵加权波束形成方法在指向误差较大时，虽然可以估计目标的信号功率，但是它的系统实现复杂度与向量加权稳健波束形
成方法相比较大。针对以上问题，该文提出基于半正定秩松弛(SDR)方法的稳健波束形成，该方法优化模型中的目标函数与Capon 算法的目标函数相同，优化变量为加权向量的协方差矩阵，并约束方向图的主瓣幅度波动范围、旁瓣电平，协方差矩阵的秩为1。-The existing vector weighted robust beamforming is able to estimate the signal power of target only in
situations of a small steering angle error. For a larger steering angle error case, although the matrix weighted
beamforming can effectively estimate the signal power of the target as well, the system implementation is more
complicated than above mentioned vector weighted. In order to solve these problems, this paper presents a new
robust beamforming approach based on SemiDefinite rank Relaxation (SDR). Detailed description of the proposed
method are given as follows: the optimal model has the same objective as that of the Capon algorithm the
optimization variable is the covariance matrix of weight vector with constraints posed on the ripple of mainlobe
amplitude and sidelobe level, and the rank of covariance matrix is 1. Platform: |
Size: 688128 |
Author:treedev |
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Description: 针对标准的Capon 波束形成在阵列导向矢量存在误差时出现严重性能退化, 本文从权矢量模约束和不确定集两个角度出发, 提出矢量最优化稳健波束形成方法, 并通过二阶锥规划进行有效求解.-When there exists the array steering vector error , the performance of standard Capon beamforming will be severely
degraded .In this paper , in the view of the constraints on the weight vector and the uncertainty sets , we propose a new approach,
which is called Vector Optimization Robust Beamforming.It is shown that the proposed algorithm can be reformulated in a convex
form as the so-called Second-Order Cone (SOC)program and solved efficiently using the well-established optimization tool , sedumi. Platform: |
Size: 854016 |
Author:treedev |
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Description: 对对角加载算法进行了分析,基于 RCB算法提出了一种可以抑制运动干扰的稳健波束形成器。可根据干扰位置的统计模型进行零陷扩宽,从而有效的抑制运动干扰。(An implementation algorithm of Robust Capon Beamforming is presented. This algorithm is advanced and widely used in the field of signal processing and communication.) Platform: |
Size: 1024 |
Author:Xiushou2014 |
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