搜索资源列表
LS
- LS算法在宽带自适应波束形成中的MATLAB实现-LS algorithm in broadband adaptive beamforming in MATLAB to achieve
RSS
- RSS算法在宽带自适应波束形成中的MATLAB实现-RSS algorithm in broadband adaptive beamforming in MATLAB to achieve
zntx
- 智能天线研究，然后对LMS算法进行介绍。最后，对智能天线阵列的三种组阵方式进行分析。三种组阵方式分别为均匀线阵、平面阵、均匀圆阵。对三种组阵阵元防线性、阵元位置及其波束形成进行分析。在分析的基础上有matlab对分析结构验证-Research on smart antennas, and then introduced to the LMS algorithm. Finally, the three types of smart antenna array approach to array a
SMI2
- 波束形成自适应算法——样本相关矩阵直接求逆算法(SMI)-Beamforming adaptive algorithm- the sample correlation matrix inversion algorithm directly (SMI)
music
- 多信号分类算法在数字波束形成中的应用，MATLAB程序-DBF using MUSIC method. A MATLAB program
Beamforming
- MVDR自适应波束形成的LMS算法使用，LMS算法迭代次数对波束形成结果的影响-MVDR adaptive beamforming using the LMS algorithm, LMS algorithm is the number of iterations on the results of beam-forming
etam_boshuxingcheng
- matlab下实现的波束形成技术，利用的是ETAM算法进行合成孔径，增加虚拟阵元个数，以提高定位精度。-matlab achieve beam forming technology, the use of the synthetic aperture ETAM algorithm to increase the number of the virtual array elements in order to improve positioning accuracy.
LSCMA
- 本程序用于仿真LSCMA(最小二乘恒模)算法用于自适应波束形成时的波束方向图-This procedure for simulation LSCMA (least-squares constant modulus) algorithm for adaptive beamforming when the beam pattern
broadbandspatialfiltering
- 该算法实现了宽带麦克风阵列的波束形成，主要采用了频域DFT和时域FIR波束形成器-The algorithm for broadband microphone array beam-forming, the main frequency domain using DFT and time-domain FIR Beamformer
txt2
- 智能天线的自适应算法通过迭代运算获取用于波束形成的最优权值矢量时,是否具有较快的收敛速度和较小的稳态误差成为决定波束形成性能的主要因素.据此提出在传统的LMS算法中引入变步长和变换域的思想,采用改进的自适应算法用于波束形成.MATLAB仿真结果表明,该算法具有较快的收敛速度和较小的稳态误差,波束形成的性能更优.-lms
lms5
- LMS算法和RLS算法的智能天线波束形成~~，可以运行-LMS algorithm and RLS algorithm for smart antenna beamforming ~ ~, you can run ~ ~ ~
MMSE
- 本程序是用于波束形成的MMSE算法。实现了对MMSE算法的matlab仿真。-This procedure is used MMSE beamforming algorithms. Realized on the MMSE algorithm matlab simulation.
methods
- 本程序适用于自适应波束形成的几种算法的matlab仿真。-This procedure applies to adaptive beamforming algorithms for the matlab simulation.
Vfocus_MVDR1
- MVDR聚焦波束形成,进场条件下利波束形成用MVDR算法实现聚焦，得到空间普-MVDR beam_forming
capon
- 几种copon波束形成的算法---MATLAB版本-Several copon beamforming algorithm--- MATLAB version
auto_tracker_system_based_on_dbf
- 针对多目标测控问题，提出了一种实用的利用基于圆阵的数字波束形成技术来实现目标跟踪的系统。在系统实际工作于噪声和干扰环境中时，为避免计算梯度时可能出现的数值突变，提出了一种修正的梯度跟踪自适应算法，可靠地实现了权值更新，并对各阵元输出进行加权合并，以获得最大信号输出，同时实现对目标方位角和俯仰角的自动捕获和跟踪，且跟踪迅速、正确、稳定。仿真结果表明了所提出的方案的正确性。-Monitoring and control for multi-objective problem, a practical
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
ML
- 波束形成中利用ML算法实现自适应波束形成的matlab代码-ML beamforming using adaptive beamforming algorithm matlab code
6Pmethods
- 自适应波束形成多种算法的matlab实现，算法类型：MVDR,LCEC,GSC,PCI,MWF,PCA-MVB,SC-MVB,EC-A variety of adaptive beamforming algorithm matlab implementation, the algorithm type: MVDR, LCEC, GSC, PCI, MWF, PCA-MVB, SC-MVB, EC
Smart-Antenna-System
- 输入信号到达角度可自行设置，在ESPRIT、MUSIC算法下实现了宽带波束形成-Input signal reaches the point of view can be set on their own, in ESPRIT, MUSIC algorithm to achieve the broadband beamforming