搜索资源列表
SIC
- 串行干扰消除技术有利于消除MIMO系统的多天线干扰，本文件包含ZF-sic与MMSE-sic-Serial interference elimination technology to eliminate the antennas of the MIMO system interference, this file contains the ZF- sic and MMSE- sic
sa_Ex3_2
- 智能天线在matalab中的仿真，此程序是在极坐标下看功率密度-Smart Antennas for Wireless Applications w/ Matlab.This code creates a polar plot of the Power Density
bpsk_bpsk_PIC_2_4_2
- 源端双天线，中继四天线，STBC，PIC-Source dual antennas, repeaters four antennas, STBC, PIC
MIMO
- MIMO系统容量仿真程序,用来仿真不同天线数目情况下增减天线数目对信道容量的影响-MIMO system capacity simulation program used to increase or decrease the number of antenna simulation under different conditions affect the number of antennas on the channel capacity
rls
- 用于自适应天线的稳健的RLS算法，保证天天的抗干扰能力-Robust RLS algorithm for adaptive antennas, ensuring every anti-jamming capability
MIMO
- 本文在介绍MIMO无线通信系统模型的基础上，通过对比分析几种常用空时编码方法，选定空时分组码对信号进行编码并建立瑞利衰落信道模型，通过对两发一收及两发两收系统的仿真，研究接收天线数对系统接收信号可靠性的影响。之后进一步扩展到不同发射矩阵条件下研究多发一收系统的频谱利用率及误符号率，分析不同天线数目，不同发射矩阵条件下空时正交分组码检测算法的性能。-This paper introduced the MIMO wireless communication system model, through
MISO_Capacity
- 多输入单输出系统的matlab仿真 容量 天线数目 概率分布-Multi-input single-output system simulation matlab The number of antennas probability distribution capacity
MIMO_Capacity
- 多输入多输出系统的matlab仿真 容量 天线数目 概率分布-Multi-input multi-output system matlab simulation The number of antennas probability distribution capacity
compare
- siso simo miso mimo系统的比较 容量 天线数目 概率分布- Compare siso simo miso mimo system The number of antennas probability distribution capacity
AlamoutiDiversityCoding_ver2
- Alamouti Code to achieve diversity without channel knowledg at the transmitter It is assumed that system contains 2 transmit antennas and one receive antenna. At the transmitter the data of a two consecutive slots will be considered. At the odd time
attitude-determination-with-GPS-
- 多天线姿态确定工具箱，包括星历读取、单点定位、差分定位、坐标转换、定姿等-In this paper a MATLAB toolbox for determining the attitude of a rigid platform by means of multiple non-dedicated antennas using global positioning system is presented. The programs embedded in this toolbox cover
vvvvA-Simple-Transmit-Diversity-Technique-in-wire
- This paper presents a simple two-branch transmit diversity scheme. Using two transmit antennas and one receive antenna the scheme provides the same diversity order as maximal-ratio receiver combining (MRRC) with one transmit antenna, and two
Ergodic_Capacity_CDF
- 本仿真可以得到发射机未知CSI时随机MIMO信道容量的CDF，可以知道MIMO系统容量随着发射和接收天线数的增加得到改善。-The simulation can be a random MIMO channel capacity CDF of the transmitter is unknown CSI, that MIMO system capacity can be increased with the number of transmit and receive antennas can
MRC_scheme
- 本仿真针对瑞利衰落信道下MRC的性能。仿真显示随着接收天线数增加，MRC的性能得到改善的程度。-The Rayleigh fading channel simulator for performance under the MRC. Simulations show that the number of receiving antennas increases, the performance of the obtained degree of improvement MRC.
MIMO-Vblast
- mimo仿真程序，可以设置天线数目，绘制ber曲线-mimo simulation program, you can set the number of antennas, drawing ber curve
matlabfuxing
- 各种阵列天线方向图综合方法集合包括 粒子群 凸优化 泰勒法等-The pattern synthesis of antennas based on a modified PSO algorithm QPSO cvx taylor
THE3
- a Matlab code that produces a plot of probability of bit error rate for QPSK versus SNR for three receive antennas, and three different combining methods: MRC, equal gain combining, and selection combining. The plot is generated by using Monte Carlo
three different combining methods: MRC, equal gain combining, and selection combining
- a Matlab code that produces a plot of probability of bit error rate for QPSK versus SNR for three receive antennas, and three different combining methods: MRC, equal gain combining, and selection combining.generate the plot using Monte Carlo simulati
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
DART-Directional-Anypath-Routing-in-Wireless-Mesh
- Anypath routing is proposed to improve the performance of wireless networks by exploiting the spatial diversity and broadcast nature of the wireless medium. In this paper, we study anypath routing in wireless networks with directional antennas,