Description: ：首先介绍了DS--UWB系统的的发射与接收模型，然后分析了利用滑动相关法对信道进行估讣，并巾此给出
了不同RAKE接收机RAKE合成权系数选取方案。对接收机采用最大比(MRC)、最小均方误差(MM SE)及带均衡
器的(MRC)合并系数选取的误码性能进行了仿真和对比。结果表明了带均衡器的MRC—RAKE只用较少的分支
就可以达到接收性能明显优于MMSE—RAKE的程度。尤其在信噪比比较大时。这种优势更加明显。-: First of all, the introduction of the DS UWB system model of the launch and reception, and then analyzed using the sliding correlation method for estimation of channel obituary, and towels, this gives the RAKE receiver RAKE synthesis of different weights to select the program. On the receiver using maximal ratio (MRC), minimum mean square error (MM SE) and band equalizer (MRC) combined coefficient selected BER simulation and comparison. The results show that the equalizer with MRC-RAKE only with fewer branches on the receiver performance can be achieved significantly better than MMSE-RAKE level. Particularly in the relatively large signal to noise ratio. This advantage becomes even more evident. Platform: |
Size: 4096 |
Author:季昀 |
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Description: 为了抑制多用户MIMO-OFDM系统的共道干扰,采用MMSE干扰抑制和符号估计相结合的检测方案,该检测方案接收端译码简单.理论分析及仿真结果表明,与传统检测方案相比,该检测方案在没有增加计算复杂度的情况下有效地抑制并消除了共道用户干扰.-In order to restrain the interference of co-channel users in MIMO-OFDM system,in this paper,adopted the combination of the detection scheme about the linear MMSE interference suppression and symbol estimation,and the receiver maintained decoding simplicity.Theory analysis and simulation results reveal that the proposed scheme can suppress and cancel the interference from co-channel users effectively without increasing the complexity significantly. Platform: |
Size: 200704 |
Author:王睿 |
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Description: 设信道响应已知。采用线性模型下的线性MMSE估计方法，根据观测信号yk估计发送信号xk。-Let the channel response is known. MMSE linear estimation method using a linear model, according to the observed signal yk estimated transmitted signal xk. Platform: |
Size: 1024 |
Author:qugq |
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Description: LMMSE在信道均衡中的应用。设信道响应已知。采用线性模型下的线性MMSE估计方法，根据观测信号估计发送信号。-Application LMMSE channel equalization. set channel response is known. Linear MMSE estimation under linear model, the transmitted signal is estimated based on the observed signal. Platform: |
Size: 1024 |
Author:Chenliang |
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Description: 信道响应已知，采用线性模型下的线性MMSE估计方法，根据观测信号估计发送信号。-Channel response is known, linear MMSE linear model estimation method, the estimated transmitted signal the observed signal. Platform: |
Size: 1024 |
Author:xue |
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Description: 包括最小二乘法、SVM、神经网络、1_k近邻法,包括调制，解调，信噪比计算，最小均方误差（MMSE）的算法，一种流形学习算法（很好用），D-S证据理论数据融合，单径或多径瑞利衰落信道仿真，利用贝叶斯原理估计混合logit模型的参数。- Including the least squares method, the SVM, neural networks, 1 _k neighbor method, Includes the modulation, demodulation, signal to noise ratio calculation, Minimum mean square error (MMSE) algorithm, A fluid manifold learning algorithm (good use), D-S evidence theory data fusion, Single path or multipath Rayleigh fading channel simulation, Bayesian parameter estimation principle mixed logit model. Platform: |
Size: 6144 |
Author:zapvsm |
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Description: 设信道响应已知。采用线性模型下的线性MMSE估计方法，根据观测信号yk估计发送信号xk(Set channel response known. A linear MMSE estimation method based on the linear model is used to estimate the transmitted signal YK according to the observed signal XK) Platform: |
Size: 62464 |
Author:HKJWJY
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Description: 这是目前传统单通道语音增强中效果最好的算法，作者Iseal Cohen大神,采用基于最小均方误差MMSE准则，代码里，噪声估计由最初的MCRA更新为效果更好的IMCRA。(This is the most effective algorithm for traditional single channel speech enhancement. The author, Iseal Cohen great God, uses the minimum mean square error MMSE criterion. In the code, the noise estimation is updated from the original MCRA to the better IMCRA.) Platform: |
Size: 10240 |
Author:Ahu_Lay
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Description: 对LTE中信道估计算法的仿真,包括LS，MMSE，LMMSE等(Simulation of the LTE channel estimation algorithm, including LS, MMSE, LMMSE and so on) Platform: |
Size: 120832 |
Author:八戒Cba |
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Description: One of the major challenges which prevents the coordinated multipoint (CoMP) communications concept from being widely deployed in new cellular systems is timing synchronization. In order to achieve the gains promised by CoMP systems, the user equipments’ (UEs) signals in uplink (UL) or the base stations’ (BSs) signals in downlink (DL) should be synchronized such that the time difference of arrivals (TDOAs) do not exceed the cyclic prefix (CP) length of the transmitted signals; Otherwise the system suffers from unavoidable integer time offsets. These offsets lead to asynchronous interference in terms of inter-carrier, inter-block and inter-symbol interference (ISI). This limits the percentage of area within a cell which can be covered by cooperation and imposes an upper bound on this area. In this paper, we investigate this problem in the UL and by using geometrical and semi-analytical approaches, we define this upper bound. Also, by characterizing an accurate mathematical model for the asynchronous interference in Rayleigh fading channels, we were be able to employ a standard MMSE-based receiver that mitigates this interference. Furthermore, a typical joint channel and delay estimation block is incorporated into the receiver to examine its performance with estimation errors. Platform: |
Size: 1869319 |
Author:ahamza |
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Search - Channel Estimation MMSE