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With the interference-to-noise ratio reduced to 30 dB, plot the adaptive antenna pattern after 200 iterations of the LMS algorithm-With the interference-to-noise ratio of red uced to 30 dB. plot the adaptive antenna pattern after 200 ite rations of t
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polar angle interference matlab code for beamforming
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capon波束形成是阵列信号处理的经典算法，该算法用于抑制干扰噪声，提高期望信号的信噪比。
本人用VC6.0实现了该算法，同时在该程序里提供了比较多的用于数值计算的C代码，如特征值分解等。-capon beamforming is a classic array signal processing algorithm used to suppress noise interference and improve signal to noise ratio of desired signal
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a brief introduction to the concept and application of smart antennas for
Code Division Multiple Access (CDMA) systems is presented. Following some introductory
remarks in Section 1.1, the basic definition and classification of smart antennas is
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自适应波束形成算法和普通波束形成，对比发现自适应波束形成比普通波束形成有抑制干扰作用-Adaptive beamforming algorithm and the general beamforming, adaptive beamforming contrast found that the formation of more than ordinary beam interference suppression
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MVDR Beamforming wher in the interference direction null s put and the signal in the intended direction is maximised. The plots the beamformer response
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均匀圆阵波束形成，一个干扰情况下的自适应波束形成；双干扰下的均匀线阵波束形成-Uniform circular array beamforming, interference under an adaptive beamforming
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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.
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SMI方向图和性能(波束形成算法，自己修改）
优点： 收敛速度快
缺点：1 当阵元输出含有较强的期望信时，或者期望信号与干扰信号相关时，性能急剧下降.2 由于权向量含有方向矢量，因此对阵列的幅相差非常敏感；3 ,期望信号的功率不能过大，比干扰信号相差几十dB，也就是说，在小期望信号、大干扰信号情况下，也可进行SMI处理。
-SMI pattern and performance (beamforming algorithm, make changes to)
Advan
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一种基于正交投影的波束形成算法。首先由 MVDR算法确定初始权向量 其次根据该权向量与
其它用户波达角方向的关系 ,建立干扰信号的导向矢量矩阵 然后通过正交投影原理 ,将期望信号的导向矢量投影
到干扰信号的零空间上 ,从而求得最优权值。仿真结果证明了该算法的有效性。-An orthogonal projection beamforming algorithms. First, by the MVDR algorithm to determine the initial weight ve
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利用lms自适应滤波器原理，实现波束形成。
波束形成器的零干扰容量随着迭代次数和干扰目标信号比的增大而改善。-Lms adaptive filter using the principle to achieve beamforming. Beamformer with the zero-interference capacity of the number of iterations and the target signal interference ratio increased to
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ADIBEAM
Abstract—the increase in navigation accuracy demanded by
EGNOS and Galileo and their future evolution encourages the
study and design of advance receiver architectures. In that
direction, the ADIBEAM project focuses on the design
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方向图合成GSC 自适应阵列处理P44 广义旁瓣相消器很好的解释了最优波束形成器的干扰抑制原理。内含 MVDR和GSC体系的波束合成，第三副图是静态方向图和干扰特征波束方向图。-Pattern synthesis of GSC adaptive array processing P44 generalized sidelobe canceller good explanation of the optimal beamforming device interference suppression
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波束形成的几种常用准则，SNR，MSE,LCMV准则。信号+干扰+噪声环境。在干扰方向形成零陷。-Several commonly used criteria of beamforming, SNR, MSE, Suppression for LCMV guidelines. Signal+ interference+ noise environments. Formed in the direction of the interference nulling.
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阻塞矩阵多频信号主瓣干扰抑制-画自适应波束形成图f=6、7、8、9MHz,目标角度10，干扰11，20，-20强度分别为20db，40db，20db，20db--Blocking matrix multi-frequency signal main lobe interference suppression- painting adaptive beamforming Figure f = 6, 7, 8, 9 MHz, target angle, interference 11,20,-20
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有2个干扰源的2维capon算法仿真程序-two interference signals, 2D capon beamforming method
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Adaptive beamforming is widely used in array signal pro-cessing for enhancing a desired signal while suppressing
interference and noise at the output of an array of sensors
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Adaptive beamforming is widely used in array signal pro-cessing for enhancing a desired signal while suppressing
interference and noise
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本算法基于LCMV实现多个干扰情况下的自适应波束形成(LCMV,interference mitigation,adaptive beamforming)
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通过仿真显示出波束形成的原理。波的干涉，叠加、相消。(The principle of beamforming is shown by simulation. Wave interference, superposition and cancellation.)
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