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hushifenbianjiaodu
- 矢量水听器波束形成程序 分辨角度
canshu
- 矢量水听器圆阵的常规波束形成仿真程序,十字交叉阵
矢量波束形成
- 矢量波束形成,可以画出指向性图。
yuanzhen
- 圆形阵波束形成仿真,包括声压噪声的和矢量圆形阵的仿真图-Simulation of circular array beamforming, including sound pressure noise circular array and vector map of the simulation
SMI
- 块自适应处理算法先有采样快拍数据计算采样协方差矩阵,再来计算自适应权矢量。典型的块自适应处理算法为采样矩阵求逆(SMI)算法。仿真了采样矩阵求逆法(SMI)的波束形成方向图旁瓣的高低受信号快拍数的影响。-Block adaptive processing algorithms prior sample snapshot data of the sampling covariance matrix, again computing adaptive weight vector. A typical
MVDR
- 关于矢量水听器MVDR的波束形成性能研究-On the vector hydrophone performance of MVDR beamforming
SMI
- 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
ULA_MVDR_beamforming
- 均匀线列矢量水听器阵MVDR波束形成研究-ULA vector sensors MVDR beamforming
Desktop
- 特征空间 旋转矢量波束形成算法 通过采样矩阵不用分解波束的形成-Feature space rotation vector beamforming algorithm without decomposition of the beam through the sample matrix formation
Array-signal-and-noise-generation
- 综合应用阵列信号模型及随机矢量产生方法,对数字波束形成技术进行原理性仿真。 建立等间距线性阵列模型,针对远场点目标窄带回波信号,产生阵列回波矢量及接收机噪声矢量,并进行数字波束形成仿真,定性分析不同因素变化对阵列方向图的影响。 -Comprehensive application of array signal model and random vector generation method, the principle of simulation of digital beamf
capon_beamformer_pattern
- 基于导向矢量不确定集的稳健Capon波束形成算法的Matlab程序-Steering vector uncertainty set based on robust Capon beamforming algorithm in Matlab
R_re_a_esti
- 基于干扰矩阵的重置和导向矢量估计的数字波束形成,程序经过优化,可运行,里面包含了一个矩阵求积分的子程序,可参考-Reset based on interference matrix and steering vector estimation of digital beamforming, the program has been optimized to run, which contains a matrix integral subroutines, refer to
MulFreq_beamforming
- 自己编写的基于多载频的高频雷达的波束形成matlab程序,包含三个文件:主程序、阵列导向矢量生成函数、添加高斯噪声信号函数。程序可顺利运行。-Multiple frequency carrier beamforming
vectorbeamforing
- 远场 近场 聚焦波束形成 矢量水听器 常规波束形成 MVDR波束形成-Far field near field focused beamforming vector hydrophone conventional beamforming MVDR beamforming
vector-optimization
- 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
double-uncertainty-set-constraints
- 针对传统不确定集约束稳健波束形成算法的性能依赖于模约束参数的问题, 提出了双不确定集约束的稳健宽带波束形成算法该算法将期望信号导向矢量约束于两个不同参数的球形不确定集中,解决模约束参数选择不当引起性能下降的问题.-The traditional uncertainty set constraint robust beamforming algorithm performance depends on the norm constraint parameter, the dual uncertai
Robust-Beamforming
- 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 iss
AC_BF
- 利用自适应抵消技术对声矢量圆阵进行波束形成,并查看波束图。-Using adaptive cancellation technology for sound circular array beamforming vector and view beam pattern.
CBF.tar
- 关于传统波束形成,从加权矢量到波束扫描,最终给出方向图(With respect to conventional beamforming, from weighted vectors to beam scans, a pattern is finally given)
New_Result
- 研究能量受限的SWIPT无线通信网络中,基站采用MIMO多天线发送信号给用户节点,在有窃听节点的情况下,通过联合优化发射波束形成矢量、人工噪声协方差和接收PS比来最小化总发射功率,同时保证每个接收机的个体保密率和能量收集约束。(In the energy limited swipt wireless communication network, the base station uses MIMO multi antenna to send signals to user nodes. In t