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.
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
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。
matlab
- 基于RLS的RLS、SMI、SINR、LMS、MMSE算法的matlab环境下的自适应波束成型-Adaptive beamforming based RLS RLS, SMI, SINR, LMS, MMSE algorithm matlab environment
SMI_matlab
- 基于smi的自适应波束成形,本程序给出了基于smi算法的自适应波束成形-Based the smi adaptive beamforming, the program gives the the SMI algorithm-based adaptive beamforming
Matlab_simulationg
- 智能天线波束形成算法仿真大全，里面有各种算法的仿真，包括最小均方误差，SMI，RLS等等经典的算法，适合初学智能天线的学者研究，代码精简，望给好评。-Simulation of smart antenna beamforming algorithm, there are all kinds of algorithm simulation, including the minimum mean square error, the SMI, RLS and so on the classical a
SMI_Algorithm
- 波束成形抑制干扰，SMI算法研究程序仿真，继续学习研究，希望大家相互学习！-Beamforming interference suppression, SMI algorithm simulation program, continued study and research, we hope to learn from each other!
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
MDVR
- 自适应波束形成 mvdr算法与基于GSC结构的smi算法的比较-Adaptive beamforming algorithm based smi mvdr GSC structure comparison algorithm
BF_SMI
- SMI自适应波束形成算法，算法稳定精度较高(SMI adaptive beamforming algorithm with high stability and high precision)
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.)