搜索资源列表
classic_beamforming
- classic beamforming: wiener-hopf,SMI,LSMI,Hung-turner projection, eigenspace-bacsed beamformer
SMI(Algorithm)
- 智能天线自适应非盲波束形成SMI算法，有很好的参考价值。-Smart Antenna Adaptive SMI non-blind beamforming algorithms, have a good reference value.
lmsalgo
- contains documents relating to improvement of adaptive beamforming using mixed norm algorithm, combination of lms with smi algorithm, sample code for implementation of lms in matlab
lcmv
- 这是一个LCMV（线性约束最小方差）波束形成的程序-This is a LCMV (linearly constrained minimum variance) procedures beamforming
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)
smi
- 数字波束形成，简单仿真了采样矩阵求逆这个算法-SMI digital beamforming
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_SMI
- MVDR——SMI波束形成器的例子，对于理解MVDR波束形成很有帮助-MVDR- SMI beamformer example，it is helpful for understanding the MVDR beamforming
766
- SMI Based Beamforming Algorithms for TDMA Signals
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
SMI
- 智能天线技术，采用SMI算法，波束形成方向的，matlab源码-Smart antenna technology, using SMI algorithm, beamforming direction, matlab source code
SSSMI_mainM
- 采用SMI算法的零陷波束形成成器，有详细的注解，可更改参数 -SMI algorithm nulling beamforming Synthesizer, with detailed comments, you can change parameters
SMI
- 智能天线SMI波束形成算法，应用于自适应天线中。-The smart antenna SMI beamforming algorithms used in adaptive antenna.
simul_worst_V1
- 最差性能下的稳健波束算法，包含SMI.LSMI,ROBUST等算法，适合初学者。-Robust beamforming using worst case。
SMI
- 基于麦克风阵列的自适应波束形成算法.它是基于SMI自适应算法-Microphone array based adaptive beamforming algorithm which is based on the SMI adaptive algorithm
Beamforming-Algorithm
- 目前最全的自适应波束形成Matlab程序，包括了Capon、LCMV、LMS、RLS、mvdr、SMI算法、智能天线自适应波束形成算法等各类matlab程序。-adaptive beamforming Matlab procedures, including the Capon, LCMV, LMS, RLS, mvdr, SMI algorithm, adaptive beamforming smart antenna algorithms and other types of matlab
Adaptive-Beamforming-Technology
- 自适应波束形成中的基本算法，包括LMS算法、RLS算法、SMI算法。-The basic adaptive beamforming algorithms, including LMS algorithm, RLS algorithm, SMI algorithm.
smicode.odt_FILES.tar
- matlabcodes for smi algorithm
SMI
- 自适应波束形成中的采样矩阵逆算法（SMI） 程序基于窄带自适应波束形成编写，很适合初学者学习使用！(Sampling matrix inverse algorithm (SMI) in adaptive beamforming The program is based on narrow-band adaptive beamforming and is suitable for beginners.)
DBF
- MATLAB采用LMS,MMSE,RLS,SINR,SMI算法实现波束形成(MATLAB uses LMS, MMSE, RLS, SINR and SMI algorithm to realize beamforming.)