This paper investigates the problem of synchronization for offset quadrature amplitude modulation based orthogonal frequency division multiplexing(OFDM/OQAM) systems based on the genetic algorithm. In order to increas...This paper investigates the problem of synchronization for offset quadrature amplitude modulation based orthogonal frequency division multiplexing(OFDM/OQAM) systems based on the genetic algorithm. In order to increase the spectrum efficiency,an improved preamble structure without guard symbols is derived at first. On this basis, instead of deriving the log likelihood function of power spectral density, joint estimation of the symbol timing offset and carrier frequency offset based on the preamble proposed is formulated into a bivariate optimization problem. After that, an improved genetic algorithm is used to find its global optimum solution. Conclusions can be drawn from simulation results that the proposed method has advantages in the joint estimation of synchronization.展开更多
This article proposes a new algorithm of joint channel and carrier frequency-offset OCCFO） estimation for multi-user multi-input and multi-output orthogonal frequency division multiplexing （MIMO-OFDM） systems. A le...This article proposes a new algorithm of joint channel and carrier frequency-offset OCCFO） estimation for multi-user multi-input and multi-output orthogonal frequency division multiplexing （MIMO-OFDM） systems. A least square （LS） channel estimation and a carrier frequency offset （CFO） correlation estimation are combined in this contribution. CFOs are generally estimated using training sequences in a special synchronization timeslot. In this contribution, CFO estimation is further improved by taking advantages of channel estimation based on pilot symbols in traffic timeslots. The CFOs can be first obtained from the primary channel estimation. And then, with the knowledge of the CFOs estimated, channel estimation can be enhanced greatly. Computer simulation results indicate that the proposed JCCFO scheme is of good performance. Besides, the computational complexity is low.展开更多
文中提出了一种利用少量传感器和少量快拍实现多目标波达时间(Time of Arrival,TOA)和波达方向(Direction Of Arrival,DOA)联合估计的方法。该方法设计了一种基于移动平台的完全稀疏阵列,保证不同时间的阵列位置合成后不存在重叠,并且...文中提出了一种利用少量传感器和少量快拍实现多目标波达时间(Time of Arrival,TOA)和波达方向(Direction Of Arrival,DOA)联合估计的方法。该方法设计了一种基于移动平台的完全稀疏阵列,保证不同时间的阵列位置合成后不存在重叠,并且通过差分变换可以得到更大的阵列孔径。同时,考虑了载波频率变换场景下一种新的稀疏采样方法,可以利用少量的快拍得到大量的虚拟数据,进而能够实现小快拍条件下TOA/DOA的精确估计。仿真结果表明,与传统的均匀线性阵列结合均匀采样的方式相比,文中所提方法能够识别更多的目标。同时,该方法的估计精度优于基于固定平台的嵌套阵列结合嵌套采样的方式。展开更多
为了获得任意载波分配正交频分复用多址(OFDMA)系统上行链路更优的频率偏移(CFOs)和定时误差(TEs)联合估计性能,利用恒包络零自相关(Constant Amplitude Zero Auto Correlation;CAZAC)序列和增加训练块数对已有的联合估计算法进行改进....为了获得任意载波分配正交频分复用多址(OFDMA)系统上行链路更优的频率偏移(CFOs)和定时误差(TEs)联合估计性能,利用恒包络零自相关(Constant Amplitude Zero Auto Correlation;CAZAC)序列和增加训练块数对已有的联合估计算法进行改进.虽然传输效率降低,但是估计性能有所提高,这种牺牲是值得的.仿真结果表明,这种改进算法估计性能更好,应用范围更为广泛.展开更多
基金supported by the National Natural Science Foundation of China(61671468)。
文摘This paper investigates the problem of synchronization for offset quadrature amplitude modulation based orthogonal frequency division multiplexing(OFDM/OQAM) systems based on the genetic algorithm. In order to increase the spectrum efficiency,an improved preamble structure without guard symbols is derived at first. On this basis, instead of deriving the log likelihood function of power spectral density, joint estimation of the symbol timing offset and carrier frequency offset based on the preamble proposed is formulated into a bivariate optimization problem. After that, an improved genetic algorithm is used to find its global optimum solution. Conclusions can be drawn from simulation results that the proposed method has advantages in the joint estimation of synchronization.
基金the National Natural Science Foundation（60496312）the Hi-Tech Research and Development Program of China（2006AA01Z260）, Gpbs(2006AA01Z283）the Fund for Foreign Scholars in University Research and Teaching Programs（B07005）.
文摘This article proposes a new algorithm of joint channel and carrier frequency-offset OCCFO） estimation for multi-user multi-input and multi-output orthogonal frequency division multiplexing （MIMO-OFDM） systems. A least square （LS） channel estimation and a carrier frequency offset （CFO） correlation estimation are combined in this contribution. CFOs are generally estimated using training sequences in a special synchronization timeslot. In this contribution, CFO estimation is further improved by taking advantages of channel estimation based on pilot symbols in traffic timeslots. The CFOs can be first obtained from the primary channel estimation. And then, with the knowledge of the CFOs estimated, channel estimation can be enhanced greatly. Computer simulation results indicate that the proposed JCCFO scheme is of good performance. Besides, the computational complexity is low.
文摘文中提出了一种利用少量传感器和少量快拍实现多目标波达时间(Time of Arrival,TOA)和波达方向(Direction Of Arrival,DOA)联合估计的方法。该方法设计了一种基于移动平台的完全稀疏阵列,保证不同时间的阵列位置合成后不存在重叠,并且通过差分变换可以得到更大的阵列孔径。同时,考虑了载波频率变换场景下一种新的稀疏采样方法,可以利用少量的快拍得到大量的虚拟数据,进而能够实现小快拍条件下TOA/DOA的精确估计。仿真结果表明,与传统的均匀线性阵列结合均匀采样的方式相比,文中所提方法能够识别更多的目标。同时,该方法的估计精度优于基于固定平台的嵌套阵列结合嵌套采样的方式。
文摘为了获得任意载波分配正交频分复用多址(OFDMA)系统上行链路更优的频率偏移(CFOs)和定时误差(TEs)联合估计性能,利用恒包络零自相关(Constant Amplitude Zero Auto Correlation;CAZAC)序列和增加训练块数对已有的联合估计算法进行改进.虽然传输效率降低,但是估计性能有所提高,这种牺牲是值得的.仿真结果表明,这种改进算法估计性能更好,应用范围更为广泛.
