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: 分别实现由MVDR和RLS实现了单波束形成（signal beamfroming using MVDR and RLS）-Realize, respectively, by the MVDR and RLS realize a single beamforming (signal beamfroming using MVDR and RLS) Platform: |
Size: 2048 |
Author:songkaige |
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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: |
Size: 8313856 |
Author:qc |
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Description: MVDR方法是波束形成的经典方法，可使期望方向的波束尽可能多通过同时抑制干扰，稳健性强。-MVDR beamforming method is the classic way, can look forward to the direction of the beam while suppressing interference by as much as possible, robust and strong. Platform: |
Size: 2048 |
Author:三秦游子 |
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Description: 稳健的波束形成算法，能够进行旁瓣控制，性能稳健，对角度对不准及阵列校准误差存在情况下，仍有较好的波形-Waveform robust beamforming algorithm, can be sidelobe control, robust performance, under the angular misalignment and the presence of an array of calibration errors, there are still good Platform: |
Size: 183296 |
Author:徐保庆 |
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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: 传统的幅度约束波束形成器是一个非凸问题，需将原始模型化为线性规划进行间接求解。该文针对均匀线阵提出一种相位响应固定幅度响应约束(PFMC)的稳健波束形成方法。利用权矢量逆序列对应的传递函数与阵列响
应函数只差一个相位因子这一性质，将阵列响应的相位设置为固定的线性相位，仅对阵列响应的实数幅度进行约束，从而得到一个凸的代价函数，最优权矢量可以利用内点法求出。-The conventional magnitude constraints beamformer is a non-convex issue which is reformulated as a
linear programming issue. A robust beamformer with Phase response Fixed and Magnitude response Constraint
(PFMC) is proposed for Uniform Linear Array (ULA). Making use of the property that there is only a phase factor
difference between the transfer function of the inverse sequence of the weight vector and the array response
function, the phase response is set to be linear and the real magnitude response is constrained. Thus, a convex
optimization cost function is established whose optimal solution can be found out by highly efficient interior point
method. Platform: |
Size: 652288 |
Author:treedev |
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