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my-vblast
- 功能描述：vblast的sic检测算法vblast的sqrd.m检测算法-demodulation for IEEE802.11a
tp2_program
- 用Matlab仿真一个发端4天线，收端6天线的V-BLAST系统.接收端分别使用ZF（迫零），MMSE（最小均方误差），ML（最大似然）和SIC（串行干扰消除）算法，分析比较各个算法下的误比特率。-Matlab simulation of an originator with 4 antennas, antenna receiving end 6 V-BLAST system. Receiving end were using ZF (zero forcing), MMSE (minimum m
demodulation
- 基于MIMO-OFDM系统的信号算法，主要有QR检测ZF SIC检测 -Signal Algorithm for MIMO-OFDM system based mainly QR detection ZF SIC detection
modulation
- 基于MIMO-OFDM系统的信号算法，主要有QR检测ZF SIC检测 -Signal Algorithm for MIMO-OFDM system based mainly QR detection ZF SIC detection
ZF_SIC
- 基于MIMO-OFDM系统的信号算法，主要有QR检测ZF SIC检测 -Signal Algorithm for MIMO-OFDM system based mainly QR detection ZF SIC detection
VBLAST_OFDM1frame_MLZFMMSE
- 基于MIMO-OFDM系统的信号算法，主要有QR检测ZF SIC检测 -Signal Algorithm for MIMO-OFDM system based mainly QR detection ZF SIC detection
singleusermimo
- ZF、MMSE、ZF.SIC、 MMSE—SIC这4种算法的性能优劣,并用Matlab进行仿真,分析了这些算法的性能.结果表明,性 能最好的为MMSE—SIC,这是zf-ZF, MMSE, ZF.SIC, MMSE-SIC these four algorithms performance advantages and disadvantages, and use Matlab simulation analysis of the performance of these algorithms
P_ZF_SIC
- 为了解决MIMO中的码间串扰问题，采用改进的ZF-SIC算法惊醒均衡。结果显示为采用均衡算法与为采用均衡算法，误码率随着信噪比增加而增加的图像。-In order to solve the inter-symbol interference in MIMO problem, an improved ZF-SIC algorithm awakened balanced. The results show that the algorithm for the introduction of a ba
P_MMSE_SIC
- 为了解决MIMO中的码间串扰问题，采用改进的MMSE-SIC算法惊醒均衡。结果显示为采用均衡算法与为采用均衡算法，误码率随着信噪比增加而增加的图像。-In order to solve the inter-symbol interference in MIMO problem, an improved ZF-SIC algorithm awakened balanced. The results show that the algorithm for the introduction of a