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[GPS developCP0901

Description: uwb无线电基础代码,第九章,超宽带信道与接收机,共四个程序。-based on UWB radio code, Chapter IX, ultra-wideband channel with the receiver, a total of four procedures.
Platform: | Size: 3072 | Author: wxz | Hits:

[matlabBlind-Channel-Estimation

Description: 就通信系统而言,涉及到有线信道及非卫星无线信道的问题时,信道不再可以看成为恒参信道,信号往往是通过未知信道传播,通常把这样的信道称为盲信道。 本源代码对盲信道的参数进行估计,利用matlab仿真,对做盲信道的工程人员有一定的借鉴价值。-On communications systems, related to non-cable channels and the issue of satellite radio channel, channel no longer can be seen as a channel Constant reference signal is often spread through unknown channels, usually channel such as the blind channel. Source code for the blind channel estimation of the parameters, the use of matlab simulation, on the blind channel to do the engineering staff from a certain value.
Platform: | Size: 2048 | Author: Jackson | Hits:

[Communicationofdm.m

Description: 本人的主要任务是利用MATLAB作为仿真工具来实现OFDM在无线信道上的系统仿真,其中主要的仿真模块包括信源产生,波形预处理,调制,插入导频信号和保护间隔,无线信道,接收滤波器,信道估计和信号补偿,解调,计算误比特率模块。-My main task is to use MATLAB as a simulation tool to achieve the wireless channel on the OFDM system simulation, in which the main simulation modules, including source generation, waveform pre-processing, modulation, inserting pilot signals and guard interval, radio channel, receive filtering device, channel estimation and signal compensation, demodulation, bit error rate calculation module.
Platform: | Size: 32768 | Author: 雷月 | Hits:

[Communication-MobileSimulation-and-Software-Radio-for-Mobile-Communic

Description: LTE mimo ofdm channel estimation ls lmmse-LTE mimo ofdm channel estimation ls lmmse
Platform: | Size: 19166208 | Author: kimos1984 | Hits:

[3G developRadio-channel-estimation

Description: 无线信道估计:基于mimo和ofdm信道估计理论,算法。包括 MIMO衰落信道的测量和建模方法; MIMO信道容量的分析; 基于MIMO的空时编/解码方法; 基于MIMO的接收机关键技术,如信道估计、均衡、多用户检测等。 -Radio channel estimation: theory, algorithms based mimo ofdm channel estimation. Include MIMO fading channel measurement and modeling MIMO channel capacity analysis Encoding/decoding method based on MIMO empty Based on the the MIMO receiver key technologies, such as channel estimation, equalization, multiuser detection.
Platform: | Size: 1314816 | Author: 龙川 | Hits:

[Program docThese_LeSaux_Benoit_2

Description: this thesis propose channel estimation schemes in a multiple antenna multiple carrier transmission over mobile radio channels
Platform: | Size: 3819520 | Author: rach | Hits:

[Otheryasuoganzhi-Channel-Estimation

Description: 非平稳的大规模多输入多输出的最小二乘信道估计-Non-stationary channel fast fading radio channel least squares estimation
Platform: | Size: 9216 | Author: 陈建新 | Hits:

[Communicationcost2100-td-07-347

Description: In this paper, the problem of estimation of fast time-varying radio channels is considered. A new algorithm, Iterative Channel Estimation is presented. This algorithm is designed for radio channel estimation in multiple-input multipleoutput systems with space-time block coding. The channel transfer matrix is estimated on the basis of a previously decoded data, so it can be performed simultaneously with the data transmission. The estimation process is a simple operation, just a multiplication of two matrices. As a result, bit error rate is reduced. The algorithm is compared to the differential space-time block codes and verified by Monte-Carlo simulations.
Platform: | Size: 162816 | Author: Moyad | Hits:

[Communication-MobileMIMO-channel-estimation-master

Description: MIMO stands for Multiple-input multiple-output. While it involves multiple technologies, MIMO can essentially be boiled down to this single principle: a wireless network that allows the transmitting and receiving of more than one data signal simultaneously over the same radio channel. Standard MIMO networks tend to use two or four antennas. Massive MIMO, on the other hand, is a MIMO system with an especially high number of antennas.
Platform: | Size: 19456 | Author: yesbek | Hits:

[Other1604.03049

Description: Channel estimation for millimeter-wave (mmWave) massive MIMO with hybrid precoding is challenging, since the number of radio frequency (RF) chains is usually much smaller than that of antennas. To date, several channel estimation schemes have been proposed for mmWave massive MIMO over narrowband channels, while practical mmWave channels exhibit the frequency-selective fading (FSF). To this end, this letter proposes a multi-user uplink channel estimation scheme for mmWave massive MIMO over FSF channels. Specifically, by exploiting the angle-domain structured sparsity of mmWave FSF channels, a distributed compressive sensing (DCS)-based channel estimation scheme is proposed. Moreover, by using the grid matching pursuit strategy with adaptive measurement matrix, the proposed algorithm can solve the power leakage problem caused by the continuous angles of arrival or departure (AoA/AoD). Simulation results verify that the good performance of the proposed solution.
Platform: | Size: 152576 | Author: hadjidw | Hits:

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