Intercepted signal blind separation is a research topic with high importance for both military and civilian communication systems. A blind separation method for space-time block code （STBC） systems is proposed by us...Intercepted signal blind separation is a research topic with high importance for both military and civilian communication systems. A blind separation method for space-time block code （STBC） systems is proposed by using the ordinary independent component analysis （ICA）. This method cannot work when specific complex modulations are employed since the assumption of mutual independence cannot be satisfied. The analysis shows that source signals, which are group-wise independent and use multi-dimensional ICA （MICA） instead of ordinary ICA, can be applied in this case. Utilizing the block-diagonal structure of the cumulant matrices, the JADE algorithm is generalized to the multidimensional case to separate the received data into mutually independent groups. Compared with ordinary ICA algorithms, the proposed method does not introduce additional ambiguities. Simulations show that the proposed method overcomes the drawback and achieves a better performance without utilizing coding information than channel estimation based algorithms.展开更多
Single-symbol maximum-likelihood （ML） decodable space-time block codes （SSDCs） can achieve a maximal symbol rate of 6/7 for multiple-input multiple-output （MIMO） communication system with five or six transmit an...Single-symbol maximum-likelihood （ML） decodable space-time block codes （SSDCs） can achieve a maximal symbol rate of 6/7 for multiple-input multiple-output （MIMO） communication system with five or six transmit antennas by using rate-efficient generalized coordinate interleaved orthogonal designs （RE-GCIODs）. Unfortunately, there are many zero entries in the eodeword matrix of RE-GCIODs. The zero entries result in high peak-to-average power ratio （PAPR） and also impose a severe constraint on hardware implementation. In this paper, for MIMO communication systems with five or six transmit antennas and one receive antenna, a new SSDC is proposed. By combining Alamouti code and orthogonal space-time block code （OSTBC）, desirable properties like RE-GCIODs can be achieved and are derived, including maximal symbol rate up to 6/7, full diversity and single-symbol ML decodability. Moreover, by reducing the number of zero entries in the codeword matrix, the peak-to-average power ratio （PAPR） of our proposed code is lower than RE-GCIODs. Simulation results show that the proposed codes outperform RE-GCIODs under peak power constraint while performing almost same under average power constraint.展开更多
本文主要研究如何对LTE下行链路中的信道采用扩展的单环多入多出(Multiple Input Multiple Output,MIMO)信道模型进行建模,并进行性能的研究。在假设信道状态信息(Channel State Information,CSI)已知的情况下研究该扩展的单环MIMO模型...本文主要研究如何对LTE下行链路中的信道采用扩展的单环多入多出(Multiple Input Multiple Output,MIMO)信道模型进行建模,并进行性能的研究。在假设信道状态信息(Channel State Information,CSI)已知的情况下研究该扩展的单环MIMO模型的系统误符号率(Symbol Error Ratio,SER)性能,进而讨论天线的相关性对性能的影响,并分别针对采用空时块码(Space Time Block Code,STBC)、垂直分层空时码(Vertical-BLAST,V-BLAST)以及空频块码(Space Frequency Block Code,SFBC)编码的系统误符号(SER)性能进行比较。仿真结果显示,通过增加在eNodeB(eNB)端的天线元间距,能够得到比增加用户设备(UE)端天线元间距更优异的性能。从空时块码、垂直分层空时码、空频块码三种编码方式的比较中可以发现,空频块码(SFBC)的性能最优,垂直分层空时码(V-BLAST)的性能最差。展开更多
在多输入输出(Multiple-Input Multiple-Output,MIMO)系统中提出一种块分组编码与VBLAST的联合编码方案,该方案对最先检测的2层数据流采用块分组编码,其余层采用垂直分层空时码(Vertical Bell Layered Space-Time Code,VBLAST)的编码方...在多输入输出(Multiple-Input Multiple-Output,MIMO)系统中提出一种块分组编码与VBLAST的联合编码方案,该方案对最先检测的2层数据流采用块分组编码,其余层采用垂直分层空时码(Vertical Bell Layered Space-Time Code,VBLAST)的编码方式,MIMO系统同时具有了空时分组码(Space Time Block Code,STBC)可以降低误码率的优点与VBLAST能够提高系统容量的优点。块分组编码将数据符号按层分块后交叉通过不同的天线对发射,数据流之间产生了一定交织效果,使编码获得了更好的分集增益,在接收端结合QR分解的最大似然解码算法进行解码。仿真结果表明该联合编码方案与传统的Alamouti编码和VBLAST的联合编码方案相比误码率性能有较大改善。展开更多
基金supported by the National Natural Science Foundation of China (61201282)
文摘Intercepted signal blind separation is a research topic with high importance for both military and civilian communication systems. A blind separation method for space-time block code （STBC） systems is proposed by using the ordinary independent component analysis （ICA）. This method cannot work when specific complex modulations are employed since the assumption of mutual independence cannot be satisfied. The analysis shows that source signals, which are group-wise independent and use multi-dimensional ICA （MICA） instead of ordinary ICA, can be applied in this case. Utilizing the block-diagonal structure of the cumulant matrices, the JADE algorithm is generalized to the multidimensional case to separate the received data into mutually independent groups. Compared with ordinary ICA algorithms, the proposed method does not introduce additional ambiguities. Simulations show that the proposed method overcomes the drawback and achieves a better performance without utilizing coding information than channel estimation based algorithms.
文摘Single-symbol maximum-likelihood （ML） decodable space-time block codes （SSDCs） can achieve a maximal symbol rate of 6/7 for multiple-input multiple-output （MIMO） communication system with five or six transmit antennas by using rate-efficient generalized coordinate interleaved orthogonal designs （RE-GCIODs）. Unfortunately, there are many zero entries in the eodeword matrix of RE-GCIODs. The zero entries result in high peak-to-average power ratio （PAPR） and also impose a severe constraint on hardware implementation. In this paper, for MIMO communication systems with five or six transmit antennas and one receive antenna, a new SSDC is proposed. By combining Alamouti code and orthogonal space-time block code （OSTBC）, desirable properties like RE-GCIODs can be achieved and are derived, including maximal symbol rate up to 6/7, full diversity and single-symbol ML decodability. Moreover, by reducing the number of zero entries in the codeword matrix, the peak-to-average power ratio （PAPR） of our proposed code is lower than RE-GCIODs. Simulation results show that the proposed codes outperform RE-GCIODs under peak power constraint while performing almost same under average power constraint.
文摘本文主要研究如何对LTE下行链路中的信道采用扩展的单环多入多出(Multiple Input Multiple Output,MIMO)信道模型进行建模,并进行性能的研究。在假设信道状态信息(Channel State Information,CSI)已知的情况下研究该扩展的单环MIMO模型的系统误符号率(Symbol Error Ratio,SER)性能,进而讨论天线的相关性对性能的影响,并分别针对采用空时块码(Space Time Block Code,STBC)、垂直分层空时码(Vertical-BLAST,V-BLAST)以及空频块码(Space Frequency Block Code,SFBC)编码的系统误符号(SER)性能进行比较。仿真结果显示,通过增加在eNodeB(eNB)端的天线元间距,能够得到比增加用户设备(UE)端天线元间距更优异的性能。从空时块码、垂直分层空时码、空频块码三种编码方式的比较中可以发现,空频块码(SFBC)的性能最优,垂直分层空时码(V-BLAST)的性能最差。
文摘在多输入输出(Multiple-Input Multiple-Output,MIMO)系统中提出一种块分组编码与VBLAST的联合编码方案,该方案对最先检测的2层数据流采用块分组编码,其余层采用垂直分层空时码(Vertical Bell Layered Space-Time Code,VBLAST)的编码方式,MIMO系统同时具有了空时分组码(Space Time Block Code,STBC)可以降低误码率的优点与VBLAST能够提高系统容量的优点。块分组编码将数据符号按层分块后交叉通过不同的天线对发射,数据流之间产生了一定交织效果,使编码获得了更好的分集增益,在接收端结合QR分解的最大似然解码算法进行解码。仿真结果表明该联合编码方案与传统的Alamouti编码和VBLAST的联合编码方案相比误码率性能有较大改善。
