MIMO-OFDM信道估计仿真实现

正交频分复用（OFDM）可以有效地将频率选择性衰落信道转化成多个并行平坦衰落信道,从而大大提高传输效率。多输入多输出正交频分复用（MIMO-OFDM）技术可以大幅度地提高无线通信系统的信道容量与传输速率,其信道估计精度对系统性能有着直接的影响。研究了基于导频插入的SISO-OFDM和MIMO-OFDM最小二乘法估计（LS）信道估计方法。采用广义平稳非相关散射下的多径时变瑞利信道模型,对各个算法进行了仿真试验,得出不同算法下信道估计的误比特曲线,比较了各个算法的性能。仿真结果表明：MIMO-OFDMLS算法在误码率性能上优于SISO-OFDM。     

MIMO-OFDM系统中的SVD．信道估计算法

本文讨论在MIMO-OFDM系统中实现信道估计的算法仿真.文章从导频序列的选择开始,研究了在瑞利信道下的LS估计算法、分离的一维维纳滤波算法以及利用SVD奇异值分解简化的维纳算法.并通过分析仿真结果得出各种方法的性能比较.     

分布式MIMO-OFDM系统的同步捕获算法

该文提出了一种分布式多输入多输出正交频分复用(MIMO-OFDM)系统初始信号检测和同步捕获算法。该算法设计了导频符号,采用谱分析方法实现可靠的初始信号检测、粗定时和粗频偏估计,并在快速傅里叶变换(FFT)之后进行精确地频偏和定时估计。仿真结果表明,该算法在低信噪比多径瑞利信道条件下具有很好的性能。     

Turbo编码MIMO-OFDM系统中的EM迭代信道估计

该文对频率选择性衰落信道条件下的Turbo编码多入多出正交频分复用(MIMO-OFDM)系统的信道估计进行了研究,提出了一种将Turbo迭代译码与EM迭代信道估计相结合的方法。采用该方法的EM迭代信道估计性能得到了明显提高,且适合于非常恶劣的信道环境。另外,通过仿真可知,利用EM迭代信道估计算法的系统性能优于利用简化的最小二乘(LS)信道估计算法所获得的系统性能。     

MIM0-OFDM系统小数倍频偏估计算法研究

由于多输入多输出-正交频分复用（MIMO-OFDM）系统对频偏很敏感,很小的频偏就能引起系统性能的大幅下降。为了提高MIMO-OFDM系统频偏估计的精度和频谱的利用率,采用一种基于新训练序列的小数倍频偏估计算法。该算法利用构造的新训练序列获得比传统算法更精准的频偏估计,可有效地对小数倍频偏进行估计,同时提出的算法减少训练序列的数量,提高系统频谱利用率。仿真结果表明,在加性高斯白噪声信道环境下,所提出的方法在载波频偏估计中能有很好的性能。     

Turbo码联合信道估计在瑞利衰落信道中的运用

如果将信道衰落信息提供给Turbo译码器,则在瑞利衰落信道下更能发挥Turbo码的优良特性。该文分析了在瑞利衰落信道下Turbo译码算法,用Jake方法模拟瑞利衰落信道,采用将多时隙加权平均(WMSA)信道估计和Turbo码结合起来的算法。仿真结果显示此系统性能优异。     

MIMO-OFDM系统小数倍频偏估计算法研究

由于多输入多输出-正交频分复用(MIMO-OFDM)系统对频偏很敏感,很小的频偏就能引起系统性能的大幅下降.为了提高MIMO-OFDM系统频偏估计的精度和频谱的利用率,采用一种基于新训练序列的小数倍频偏估计算法.该算法利用构造的新训练序列获得比传统算法更精准的频偏估计,可有效地对小数倍频偏进行估计,同时提出的算法减少训练序列的数量,提高系统频谱利用率.仿真结果表明,在加性高斯白噪声信道环境下,所提出的方法在载波频偏估计中能有很好的性能.     

NNISA-PF算法的MIMO-OFDM信道估计应用分析

MIMO-OFDM(多输入多输出—正交频分复用)系统的信道估计问题是系统接收机进行相干解调的关键。针对标准粒子滤波算法在MIMO-OFDM信道估计时存在观测系数不准确和粒子退化等问题,提出了一种基于神经网络的重要性样本调整粒子滤波(NNISA-PF)算法。对MIMO-OFDM通信系统及时变信道进行建模,得到了状态空间模型;详细分析了标准粒子滤波的改进算法——NNISA-PF;在MIMO-OFDM快衰落和慢衰落信道下,对Kalman、Bootstrap和NNISA-PF三种滤波算法分别在AWGN、Middleton-A噪声下的NMSE和BER性能进行了仿真对比分析。仿真结果表明,在快衰落和慢衰落情况下,NNISA-PF算法都可以有效对抗噪声干扰,尤其是在非高斯噪声环境下优势明显;NNISA-PF算法可以较准确地对MIMO-OFDM时变信道进行半盲估计,使MIMO-OFDM技术优势得到充分发挥。与现有的半盲信道估计方法相比,该方法具有估计精度高、对非高斯噪声鲁棒性强等优点。     

低信噪比下SMCC+系统精确大频偏估计方案

该文基于由电子科技大学提出的作为中国地面数字多媒体电视广播传输标准候选方案之一的SMCC+系统和OFDM系统,提出了一种在低信噪比下利用特殊构造的短PN序列进行快速精确的大范围频率同步的方法。经仿真证明,信噪比在-20 dB范围以上时,该法在AWGN,单抽头瑞利衰落信道和等值双径瑞利衰落信道环境纠正大范围频偏的性能比Tufvesson等人(1999)同类常规算法性能更优,从理论上而言,该算法可以估计1/2带宽范围内的频率偏移,显然,该算法优于常规同类算法。     

平坦衰落信道下基于NLS的快速频偏估计算法

文章推导了一种平坦衰落信道下基于非线性最小二乘的频偏估计算法,与已有的其他估计算法不同,该算法无需预知任何信道的相关信息仍具有较好的估计性能.在此基础之上给出了一种简化的非线性最小二乘快速估计算法.仿真结果和运算量分析表明,所给出的简化快速估计算法在获得与完整结构估计算法相同性能的前提下,大大降低了算法的实现复杂度.     

Variance-Reduced Partial Parallel Interference Cancellation for MC-CDMA Uplink Systems

In this paper, we present an improved version of partial parallel interference cancellation (PPIC), called variancereduced PPIC (VRPPIC), for multicarrier code division multiple access uplink systems. The VRPPIC detector is a combination of the PPIC receiver and a new bit estimator, where a simplified realization is derived for the main PPIC operations and soft decisions from PPIC are linearly combined by the bit estimator using appropriate weighting factors (derived from the PPIC weighting factors) to reduce the conditional variance of the final signal estimate. Also, we derive an optimal weighting factor (OWF) selection algorithm for VRPPIC based on minimizing a monotonically increasing conditional variance function. The derived OWFs for all the interference cancellation stages are equal and can easily be obtained from a linear function of the number of active users. Simulation results show that VRPPIC with the proposed OWFs significantly outperforms VRPPIC (or PPIC) with randomly selected weighting factors in multipath Rayleigh fading channels.     

Blind coding classification in the presence of interference in MIMO systems using ML algorithm

This paper presents a framework for coding classification in multiple‐input multiple‐output (MIMO) systems in the presence of inter‐user interference (IUI). This framework is performed at the receiver beginning with a signal separation step. The signal separation is implemented with a multi‐user kurtosis (MUK) algorithm. The classification step estimates the code parameter (CP) using the maximum‐likelihood (ML) method applied to the covariance matrix of the received signal without a priori knowledge about the transmitted signal. Experimental results show that the proposed coding classifier is easy to implement and efficient for the classification of the CP over Rayleigh fading channels in the presence of time and frequency offsets. Furthermore, the success rate of code classification is high at low signal‐to‐noise ratios (SNRs). The signal separation increases the probability of true classification.     

多媒体传感网中的频率同步研究

文中针对基于OFDM传输体制的多媒体传感网节点，提出了一种新的频偏估计算法。在频域，可以方便去除虚拟子载波上噪声的影响，提高性能，同时根据每个子载波的解调信噪比对各个子载波的估计结果，进行最大比加权平均，可以有效的克服频率选择性衰落的影响．采用信道的统计信息，本文提出了一种低复杂度，可实现的方法。算法的仿真结果表明本文提出的算法能有效的克服多径的影响，并且在性能上比时域估计和等增益平均的方法有较大的改进。     

一种新型低复杂度双层分组天线选择算法

针对平坦相关瑞利衰落信道环境下的端到端大规模MIMO系统复杂度过高的问题,提出一种基于离散布谷鸟搜索的低复杂度双层分组天线选择算法。该算法首先基于天线信道相关性对大规模天线阵列进行分组处理,进而利用新型双层算法对分组的天线集合进行优化天线选择。其中,新型双层算法的第一层是每小组天线基于离散布谷鸟搜索的内部选择,第二层是对第一层选择的所有天线利用离散布谷鸟搜索进行最终的选择。提出的新型天线选择算法可有效降低大规模MIMO系统复杂度。仿真结果验证了在平坦相关瑞利衰落信道环境下,提出的天线选择算法能够以较低选择复杂度获得接近最优选择方法的容量性能和较优的BER性能。     

采用预判决信息的LDPC码编码调制方案性能研究

低密度奇偶校验(LDPC)码是Turbo码以外另一种性能接近香农限的好码.本文将LDPC码与比特交织编码调制(BICM)相结合,首先给出了在不使用传统解调器与译码器之间迭代的情况下8PSK调制方案在AWGN信道和Rayleigh衰落信道中的性能(简称为无迭代方案).然后提出了一种新的接收端解决方案:首先对接收符号进行预判决,判决信息被用来调整解调器,从而在一定程度上弥补了不使用解调器与译码器之间迭代所造成的性能损失,并且相对于无迭代方案接收端复杂度几乎没有变化,但性能却有所提高.这说明原有比特度量产生方法并不是最佳的,该文使用预判决信息的方案给出了一个改善的思路.通过仿真结果可以得到结论:使用本文所提出的方案在AWGN信道和Rayleigh衰落信道中都可以在不增加复杂度的情况下提高性能.     

A new blind adaptive interference suppression scheme foracquisition and MMSE demodulation of DS/CDMA signals

We present an efficient blind algorithm for estimating the code timing of a desired user in an asynchronous direct-sequence code-division multiple-access (DS/CDMA) system over frequency-nonselective-fading channels. The proposed algorithm acquires the code timing explicitly and results in a near-far resistant minimum mean-squared error (MMSE) demodulation without requiring the knowledge of the timing information, amplitudes, and transmitted symbols of all transmissions. The only required knowledge is the information of the signature sequence used by the desired transmission. Several computer simulations are done for additive white Gaussian channels, Rayleigh fading channels, and two-ray Rayleigh fading multipath channels, respectively. Numerical results show that the new algorithm is near-far resistant to the multiple-access interference (MAI) in the DS/CDMA system     

A Distance Based Reliable Cooperative Spectrum Sensing Algorithm in Cognitive Radio

Spectrum sensing is the most critical task in cognitive radio (CR) which needs to be performed very precisely in order to efficiently utilize the underutilized spectrum and to provide sufficient protection to the primary users (PUs). To improve the sensing performance under fading, shadowing and hidden terminal problems more than one CR users collaboratively perform the spectrum sensing called as cooperative spectrum sensing (CSS). In conventional CSS the decision of each CR is fused at fusion center with equal weights. But due to variable distance of each CR from the PU all decisions are not equally reliable and therefore should be assigned different weights according to their reliability. In this paper we propose a new weighting scheme for CSS under Rayleigh faded channel. In proposed weighting scheme, based on the distance of each CR from the PU reliability of CR nodes is determined and correspondingly appropriate weights are assigned to different users. The CSS algorithm using new weighting scheme gives better performance than conventional CSS algorithm.     

Opportunistic beamforming based on multiple weighting vectors

In order to improve the throughput of the opportunistic beamforming, the authors generalize the opportunistic beamforming by using multiple random weighting vectors at each time slot. The base station chooses the best weighting vector and performs the opportunistic beamforming with this optimum vector. For the case of equally strong independent fast Rayleigh fading channels, the throughput of the proposed scheme is analytically approximated and the optimum number of random weighting vectors per time slot is obtained. Numerical results demonstrate that the proposed scheme considerably improves the throughput compared to the conventional opportunistic beamforming for a low/realistic number of users.     

SC-FDE Transmission with Length-Adaptive Cyclic Prefix Aided by Delay Spread Estimation

To combat inter-symbol interference caused by multipath channels, single carrier frequency-domain equalization (SC-FDE) transmission adds cyclic prefix (CP) to the head of transmitted data. Nevertheless, the overhead of CP leads to drawback for high transmission efficiency in varying mutipath channels. To address this issue, a novel SC-FDE transmission scheme with length-adaptive CP is proposed in this paper. In the proposed scheme, the delay spread parameters are estimated by a low-complexity algorithm for adaptively adjusting the length of CP. Simulation results demonstrate that the proposed algorithm can obtain accurate delay spread estimate and determine appropriate CP length for transmission over multipath radio channels.     

A Multiuser Detection Receiver Using Blind Antenna Array and Adaptive Parallel Interference Cancellation

In this paper, the problem of multiuser detection for synchronous code division multiple access systems in both additive white Gaussian noise and multipath channels is addressed. A new multiuser detection receiver that uses an adaptive blind array along with an adaptive parallel interference canceler is proposed. The replacement of a conventional antenna array with a two-dimensional RAKE receiver is also considered for frequency selective Rayleigh fading channels. By using a constrained optimization criterion along with the gradient-projection algorithm, a blind algorithm for the adaptation of the array response vector is proposed. The new algorithm is superior to a few typical blind algorithms in the literature in terms of both performance and computational complexity. The proposed receiver has the ability to cancel very strong multiple access interference coming from the same direction as the desired signal. Simulation results are presented to show the excellent performance of the proposed combination scheme in comparison to that of using either a multiuser detection or adaptive antenna arrays in a severe near-far situation.