CDMA发射分集系统的多用户检测常模算法分析

空时分集技术的最大优点在于在不增加带宽的情况下可以提高系统的可靠性,是目前移动通信的研究热点.常模算法是一种性能优良的码分多址(CDMA)盲多用户检测技术,能确保判决信号与实际传送信号之间的差错较小,误码率性能良好.文中提出将标准线性受限常模算法(LCCMA)与空时分组码(STBC)相结合,设计出一种收敛快、能够改善系统性能的基于2-空时分组码的多用户接收机.     

The Research of ST-OFDM in Physical Layer of IEEE 802.16a

This paper briefly introduces one of the three physical layer implementations of IEEE 802.16a~[1],WirelessMAN-OFDM PHY.Based on the implementation,the combination of Orthogonal Frequency Division Multiplexing(OFDM)and Space-Time Coding(STC)which is briefly called ST-OFDM in IEEE 802.16a,is investigated under thechannel provided in Ref.[2].Especially,this paper is focused on the influence of the optimal decision threshold on the sys-tern Bit-Error-Rate(BER)performance based on unequal probabilities of sources.The simulations show that when Signal-Noise-Ratio(SNR)is low the optimal decision threshold is obviously superior to the usual one;when SNR is high to someextent,such as 10 dB for 4QAM and 16 dB for 16QAM,we can use the usual decision threshold instead of the optimal     

空时分组码系统中WL-Kalman均衡算法*

根据空时分组码(STBC)系统的编码特点,提出了一种低复杂度的基于宽线性(WL)处理的Kalman均衡算法。该算法针对STBC系统,利用宽线性处理的思想,采用Kalman均衡算法对接收信号及其复共轭联合进行处理,有效地减轻了由频率选择性衰落信道引起的码间干扰(ISI)。对所提出的均衡算法在不同环境下进行了仿真验证。结果表明,与传统的线性均衡器相比,该算法明显提高了系统的性能,具有实际应用价值。     

无线传感器网络中的协作节点个数优化

为了提高无线传感器网络的能量效率,传感器节点采用空时编码协作和收端分集协作来传输信息.通过分析传感器节点的电路能耗和传输能耗,分别给出了两种协作方式下的网络总能耗.研究表明,对于每种协作方式,传输距离一定时,通过优化接收端协作节点的个数,可以使总能耗降低,传输距离不同时.最优的协作节点个数也不同.仿真结果显示,优化的收端分集协作总比传统的无协作方式能耗低,而当传输距离大于一个门限值时,优化后的空时编码协作优于收端分集协作.     

多天线阵列中基于矩阵求逆的BLAST和准正交STBC结合的HARQ算法研究

提出了多天线阵列中基于BLAST和准正交STBC结合的HARQ算法,并采用低复杂度的矩阵求逆方法进行解码。推荐的算法不是如传统的ARQ算法那样重传同样的信号,而是将数据组成准正交空时码发射矩阵,重传的时候传输发射矩阵的下一行,并和以前传输数据联合进行空时码解码。所以椎荐的算法可以额外获得空时码的分集增益,而在信道条件好和信噪比高时,由于没有重传的发生而可以获得BLAST的复用增益。对于部分发射矩阵联合空时码解码,本文提出了采用矩阵求逆的解码算法。仿真表明该算法和最大似然算法的性能相近而复杂度下降很多。本算法结合了BLAST和STBC以及HARQ的优势并采用了低复杂度的矩阵求逆算法,是一个既能够提高系统传输速率也能够提高系统抗干扰性能的HARQ方案。特别是本算法在所有接收天线数大于等于发射天线数的多天线阵列中有很强的实用性。     

Super-orthogonal space-time code design based on the trellis diagram integrated operation

By studying the super-orthogonal space-time coding designs for 2 transmit antennas and superquasi orthogonal space-time coding designs for 4 transmit antennas,a novel super-orthogonal space-time coding design for 4 transmit antennas is proposed.By exploiting the inherent structure association between OSTBC and QOSTBC,the proposed schemes can obtain the full-rate and good performance while keeping the coding complexity as super-orthogonal space-time coding schemes for 2 transmit antennas.Simulation results d...     

MIMO-OFDM系统中的空时/频编码技术

OFDM(正交频分复用)是一种高效的多载波调制技术,可以用来对抗无线环境中的多径衰落,减少码间干扰。空时编码是一种发射分集技术。文中主要研究基于M IMO(多输入多输出)-OFDM的空时分组码和空频分组码的系统结构以及编译码方法。仿真结果表明,将空时编码技术与M IMO-OFDM技术相结合能有效地抵抗频率选择性随机衰落。     

准正交空时分组码系统的一种盲信道估计方法

空时分组码(STBC)系统的经典信道盲估计方法,如子空间法(SS)等,都是基于接收端样本自相关矩阵的特征值分解(EVD)或奇异值分解(SVD)来实现信道估计的,而基于QR分解的信道盲估计方法是一种性能优良的新算法.文中将该算法应用到准正交空时分组码系统的信道估计中,结合准正交空时分组码的特性提出了一种新的信道盲估计算法.与以上经典的信道盲估计算法相比,文中提出的算法的计算量大为降低.同时Monte-Carlo仿真表明,当信噪比较低时,该算法比子空间法有更好的性能.     

MIMO Systems in Random Uncorrelated,Correlated and Deterministic Radio Channels

The paper discusses the BER and spectral efficiency of different MIMO systems in random uncorrelated, correlated and deterministic environments, and more specifically uncorrelated and correlated Rayleigh and Ricean fading channels. It is known that the so-called MIMO eigenmode transmission assumes channel knowledge at the transmitter for pre-coding, whereas V-BLAST and STC do not assume the channel knowledge at the transmitter, instead they use it at the receiver for recovering the transmitted information. It is shown that for the same spectral efficiency, the BER performance of the MIMO eigenmode transmission outperforms MIMO systems like V-BLAST and STBC. In fully correlated random environment, transmitting through the largest eigenmode exploits the full transmitter-receiver array gain and diversity order, giving the maximal possible performance in terms of reducing the BER. In any of the scenarios, transmitting through the largest eigenmode gives better performance in terms of reducing the BER compared with STBC systems. Spatial multiplexing through the so-called eigensets (sets which consist of transmission modes with significant channel gain) outperforms systems like V-BLAST. In this context, adaptive modulation has been used to minimize the overall BER for a given spectral efficiency.     

一种自适应线性分散码方案的性能研究

针对线性分散码复杂度较高的问题,提出一种自适应线性分散码(ALDC),并将其应用于协作通信网络.该码可以根据当前信道状态,自适应地选择不同的调制阶数和分散矩阵,以在不同信噪比下获得最优的误码率性能,同时降低译码复杂度.分析了该码在协作系统中的编码与译码,并在误比特率性能上与传统空时分组码和LDC进行了仿真对比.结果表明,ALDC的误码率性能要优于传统的正交空时分组码和LDC,且译码复杂度较低.