Welcome![Sign In][Sign Up]
Location:
Search - mse simulation in matlab

Search list

[Program docBlindTiming

Description: 超宽带(UWB)系统的盲同步仿真程序,精度在一个帧,最后可以得出盲同步的MSE。不足之处请多多指教。附MSE-SNR图一张。-ultra-wideband (UWB) systems for the blind simulation program synchronization, the accuracy in a frame, Finally come Blind synchronization MSE. Deficiencies Department asked for more information. A MSE- SNR Figure 1.
Platform: | Size: 14336 | Author: 孙强 | Hits:

[OtherRLS-MSEsim_MsePred

Description: calculating MSE simulation and MSE Prediction
Platform: | Size: 902144 | Author: ipuel04 | Hits:

[Communication-MobileMSE

Description: 最小均方误差信道估计LS_MSE_calc.m仿真程序。用于ofdm信道估计。-Simulation of main channel LS_MSE. You wish to be useful.I hope that they will bring convenience to. If there is a need to contact.I wish good!
Platform: | Size: 2048 | Author: caoxiang | Hits:

[Communication-Mobileofdm_EM_channel

Description: 分析了相位噪声对正交频分复用(OFDM)系统的影响,发现相位噪声不仅产生 通用相角错误(CPE),而且还会产生载波间干扰(ICI),这都使OFDM系统的性能急剧恶 化,因此必须对CPE和ICI进行校正.文中给出了基于MSE准则的CPE校正方法,考虑到 ICI干扰主要来源于相邻信道,进而提出了基于LMS法则的自适应相邻信道干扰消除方 法.整个算法简单高效.仿真结果表明,所提出的算法大大改善了OFDM系统的性能-Analysis of phase noise on the orthogonal frequency division multiplexing (OFDM) system, the impact of phase noise was found not only from the general phase angle error (CPE), but also generate inter-carrier interference (ICI), which are so dramatically the performance of OFDM system worse, it is necessary CPE and ICI correction. This paper gives guidelines for CPE-based MSE correction methods, taking into account ICI mainly come from the adjacent channel interference, then presents a rule-based LMS adaptive adjacent channel interference cancellation method. the algorithm is simple and efficient. The simulation results show that the proposed algorithm greatly improved the performance of OFDM systems
Platform: | Size: 44032 | Author: sunkai | Hits:

[matlabContent

Description: A multiple-input multiple-output (MIMO) communication system combined with the orthogonal frequency division multiplexing (OFDM) modulation technique can achieve reliable high data rate transmission over broadband wireless channels. Channel state information for both single-input single-output (SISO) and MIMO systems based on pilot aided arrangement is investigated in this paper. The estimation of channel at pilot frequencies with conventional Least Square (LS) and Minimum Mean Square (MMSE) estimation algorithms is carried out through Matlab simulation. The performance of MIMO OFDM and SISO OFDM are evaluated on the basis of Bit Error Rate (BER) and Mean Square Error (MSE) level.-A multiple-input multiple-output (MIMO) communication system combined with the orthogonal frequency division multiplexing (OFDM) modulation technique can achieve reliable high data rate transmission over broadband wireless channels. Channel state information for both single-input single-output (SISO) and MIMO systems based on pilot aided arrangement is investigated in this paper. The estimation of channel at pilot frequencies with conventional Least Square (LS) and Minimum Mean Square (MMSE) estimation algorithms is carried out through Matlab simulation. The performance of MIMO OFDM and SISO OFDM are evaluated on the basis of Bit Error Rate (BER) and Mean Square Error (MSE) level.
Platform: | Size: 729088 | Author: loihuynh | Hits:

CodeBus www.codebus.net