Iterative equalization combining algorithm in intersymbol interference channel

To realize joint optimization of spatial diversity and equalization combining in the intersymbol interference (ISI) channel, an iterative equalization combining algorithm is proposed. The proposed algorithm uses the coefficients of Turbo equalization to calculate the combination weights without estimating the signal to noise ratio in each diversity branch. The equalized symbols from different diversity branches are combined, and the extrinsic information output from the decoder is fed back to the equalizers, so as to exchange soft information between the equalizers and the decoder. The performance of the proposed algorithm is analyzed using the extrinsic information transfer (EXIT) chart and verified by simulations. Results show that our approach fully exploits time domain information from the multipath channel and spatial domain information from multi receiving antennas, which efficiently improve the performance of the receiver in the severe ISI channel.     

无码间串扰传输特性动态仿真分析与研究

码间串扰和信道噪声是影响基带传输系统性能的两个主要因素。因此,如何消除它们的影响,使系统的误码率达到规定的要求是数字基带系统中必须研究的两个问题。奈奎斯特第一准则为消除码间串扰奠定了理论基础。本文将以此为依据,通过使用Systemview和MATLAB软件实现对基带传输系统的仿真,并根据所得图形从消除码间串扰的角度来定性地分析无码间串扰系统函数的传输特性。实验中所得结果将对我们的理解和实践均有一定的指导作用。     

基于SystemView的奈奎斯特第一准则的验证与分析

本文阐述了奈奎斯特第一准则的基本原理,并使用SystemView软件对数字基带系统进行仿真设计。我们修改信道噪声和基带信号的码元传播速率,并观察比较接收波形和发送波形,直观看到噪声和码间干扰对数字基带系统的影响,同时验证了奈奎斯特第一准则。     

多径干扰对再入遥测系统性能的影响分析

多径干扰在频域表现为在PCM/FM的频谱中产生凹陷。我们通过用一直射路径和一延时小于一个比特间隔的镜面反射路径来模拟再入遥测多径信道,并结合一延时解调器,得到了系统的性能方程式,它是多径信道参数r、θ和τ的函数。然后就有和无预检波滤波器分别分析了多径干扰对系统性能的影响。通过分析得出,系统的比特错误概率都强烈依赖于凹口的位置,而在无预检波滤波器时,系统的平均比特错误概率与凹口的宽度(时延τ)无关,主要由凹口的深度(反射系数r)确定,此时由于多径干扰引起系统性能损失的上界为1/(1-r)2,它高出实际系统性能的损失值不到1dB。在有预检波滤波器的情况下,系统的平均比特错误概率与凹口的宽度、凹口的深度和滤波器的带宽都有关。当τ/Tb=0.15时系统性能最差,而滤波器的带宽B越窄,码间干扰越严重,在τ/Tb=0.15且BTb=1时,得到了系统性能损失的上界为:1/(1-r)2r,它超过系统性能的实际损失同样小于1dB。     

基于降低ISI和ICI的小波分组调制结构的研究

从降低误码率和系统复杂度的角度,探讨了基于降低ISI和ICI的小波分组调制结构的优化方法。首先考虑小波分组调制结构本身对调制信号性能的影响,粗选出具有较小ISI和ICI的结构,然后考虑无线信道对调制信号的影响,利用最小均方误差方法,进一步优选出与信道相匹配的树结构,从而实现小波分组调制结构优化的目的。仿真结果表明,所选择的小波分组树结构更加简单,降低了系统的复杂度,同时提高了小波分组调制系统的抗干扰性能。     

数字调制系统码间干扰分析

通信系统中引起误码的主要因素是噪声和码间干扰。主要针对频带传输系统包括多进制调制系统如何能消除码间干扰问题进行了分析，提出了无码间干扰传输系统的传输函数应满足的条件、最高码元传输速率与系统带宽之间的关系以及不同调制系统的频带利用率。     

基于串行和并行级联Turbo思想的均衡算法

利用Turbo码在两个信道译码器之间的迭代，能够得到更加精确的信道编码器输入数据比特的概率，从而代替在一般Turbo均衡器中对于该概率的独立等分布（IID）的假设。同时，通过分析这两个不同级联Turbo思想在该算法中的关系，得到算法的收敛特性，并合理确定两者相应的迭代次数。     

一种基于高阶统计量的组合盲均衡新算法

基于高阶统计量的逆滤波器准则（IFC）和超指数迭代算法（SEA）已经被广泛地应用于解决盲均衡问题。Chi，Feng和Chen通过对两种算法的性能分析提出在特定的条件下SEA和IFC算法的得到的均衡器是等价的。基于这种等价性，文献中提出通过对这两种算法进行组合来提高算法性能的改进方案。采用这种改进的改进方案，将一种最新的改进的SEA算烈和IFC算法进行组合，提出一种收敛性又好，收敛速度又快的组合算法。     

一种并行的软判决引导常数模盲均衡算法

介绍了一种常数模与软判决引导结合的盲均衡算法CMA SDD。该算法克服了CMA收敛速度慢、稳态误差大的缺点,同时可以纠正相位偏转。仿真表明,在高信噪比(SNR)条件下,两种算法的稳态均方误差相近,而CMA SDD算法的收敛速度更快;在低信噪比条件下,CMA SDD算法可以获得更快的收敛速度和更低的稳态均方误差。     

Minimum Autocorrelation Spreading Codes

Intersymbol Interference (ISI) always appears when the communication channel is a multi-path channel. Many methods are used to reduce the effect of ISI. In this paper we focus on the autocorrelation property of the spreading codes and the role it plays in minimizing the ISI effect, where we obtain the spreading codes with minimum autocorrelation property. The results of comparing the average autocorrelation of the obtained codes with that of the well known Hadamard codes show a great enhancement in the performance, where for example, for codes of length 8 a gain of 408% was achieved at one shift, and for codes of length 16 a gain of 530% was achieved at one shift. Ahmad I. Amayrah was born in Amman in 1976. He received his Master of Science in Electrical Engineering from University of Jordan in 2003. He works as a lecturer in Al-Balqaa' University Abdallah K. Farraj was born in Amman in 1977. He earned his Bachelor of Science and Master of Science degrees in Electrical Engineering from University of Jordan, Amman, Jordan. He is currently working towards a PhD degree at the Department of Electrical and Computer Engineering, Texas A&M University. He is a fellow of the Graduate Teaching Academy, Texas A&M University, and he was awarded the Fulbright Scholarship for the 2005–2006 and 2006–2007 academic years.