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Description: This Program is Designed for Calculation of A Generalized Null Steering Broadside Beam former Weights Vector
General Antenna Array Specifications
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Size: 1024 |
Author: rampage |
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Description: Null Steering Broadside Beam former自适应波束成形，使用了干扰零陷的方法。程序注释非常详细，每句语句都对应了算法的基本原理，保证可以读懂，程序运行结果正确明了-Null Steering Broadside Beam former adaptive beam forming, the use of interference nulling method. Program notes are very detailed and end of each statement corresponds to the basic principle of the algorithm to ensure that you can read, the program runs correctly understand the results
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Size: 1024 |
Author: magict |
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Description: 基于常规波束形成和MVDR波束形成的非相干双声源的波达方向估计-The arithmetic solved the estimate of two signal s direction of arrival,based on the convention beam-former and MVDR beam-former.
Platform: |
Size: 1024 |
Author: liujia |
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Description: This Program is Designed for Calculation of A Generalized Null Steering Broadside Beam former Weights Vector
Platform: |
Size: 1024 |
Author: doaa |
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Description: . Types of Beamforing Algorithm:
The algorithm of the adaptive antenna is classified based on whether training signal is used and not used[1]. It is classified as blind and non-blind algorithm[2].
B. Non-Blind Algorithm:
In this algorithm, the training signal is known to both transmitter and receiver the receiver received it transmitter during training period[3] with the training signal the beam former in the receiver can calculate the optimal weight vector.
-. Types of Beamforing Algorithm:
The algorithm of the adaptive antenna is classified based on whether training signal is used and not used[1]. It is classified as blind and non-blind algorithm[2].
B. Non-Blind Algorithm:
In this algorithm, the training signal is known to both transmitter and receiver the receiver received it transmitter during training period[3] with the training signal the beam former in the receiver can calculate the optimal weight vector.
Platform: |
Size: 1024 |
Author: emman |
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Description: The antenna is customize by combining the output of individual sensors and they are scaled based on the corresponding weight. And with the help of minimum squared error the LMS can compute the weight . Spatial filtering involves the signal estimation in receiver by reducing the error with the help of reference signal d(t)[5]. And it has some correlation with desired signal and beam former output y(t). The solution is obtained by iteration using LMS algorithm.
Platform: |
Size: 5120 |
Author: emman |
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Description: Program is Designed for Calculation of A Generalized Null Steering Broadside Beam former Weights Vector
Platform: |
Size: 1024 |
Author: Yanja Sarakha |
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Description: 简支梁有限元特征值分析计算，计算了前10阶模态和频率，并作图。包含多个文件代码，主要是包括数据输入，边界条件检验，整合整体刚度-Finite Element Analysis feature value calculated simply supported beam, the former 10 calculates modal and frequency, and plotted. Includes a plurality of document codes, mainly includes a data input, the boundary conditions testing, integration of the overall stiffness
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Size: 7168 |
Author: 叶波 |
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Description: 提出了一种适合拖曳线列阵鱼雷自导系统的新的被动水声探测盲自适应波束形成器。介绍了该方法的设计思 路和推导原理， 然后通过计算机仿真验证了该方法的收敛性， 并在不同信噪比、快拍数条件下与单独使用自适应 MVDR 波束形成器在角度估计方面做了对比，与单独使用盲源分离算法在源信号估计方面作了比较。(adaptive beam former)
Platform: |
Size: 150528 |
Author: 霖声
|
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Description: The antenna is customize by combining the output of individual sensors and they are scaled based on the corresponding weight. And with the help of minimum squared error the LMS can compute the weight . Spatial filtering involves the signal estimation in receiver by reducing the error with the help of reference signal d(t)[5]. And it has some correlation with desired signal and beam former output y(t). The solution is obtained by iteration using LMS algorithm.
Platform: |
Size: 2048 |
Author: prajansid |
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