A new adaptive filtering principle based on capability control and semi-blind method is presented. A new semi-blind space-time equalizer based on constant modulus characteristic and structure risk minimum （SRM） crit...A new adaptive filtering principle based on capability control and semi-blind method is presented. A new semi-blind space-time equalizer based on constant modulus characteristic and structure risk minimum （SRM） criterion is also proposed. The equalizer sufficiently exploits the learning information of communication signals by using the structure information of filter itself through capability control technique. Namely, it maximizes the amount of learning information to im- prove filter tracking performance. Simulations are carried out and the result is compared with that of typical recursive least squares space-time equalizer （RLS-STE） and constant modulus semi-blind space-time equalizer （ CM-SB-STE ）. The results show that, even if with insufficient training data, the SRM constant modulus semi-blind space-time equalizer （SCM-SB-STE） keeps good tracking per- formance, showing promises in mobile wireless communications.展开更多
基于Gibbs采样技术,设计了一种新的半盲联合信道估计与均衡单载波相干的水声通信接收机.首先,通过在数据帧前加入具有循环结构的训练序列估计信道,针对水声信道的稀疏特点,采用迭代稀疏最小化(sparse learning via iterative minimizati...基于Gibbs采样技术,设计了一种新的半盲联合信道估计与均衡单载波相干的水声通信接收机.首先,通过在数据帧前加入具有循环结构的训练序列估计信道,针对水声信道的稀疏特点,采用迭代稀疏最小化(sparse learning via iterative minimization,SLIM)算法提高低信噪比下的信道估计精度,得到信噪比精确的估计.其次,在数据帧处理中,基于水声信道的时变特点,将数据帧分成特定长度的重叠块进行处理.在重叠块中基于之前得到的信道估计结果,采用Gibbs采样技术得到发送信息的最大后验概率(maximum a posteriori,MAP),同时利用新获得的信息更新信道,跟踪信道的变化.对厦门港海域获得的10km海洋试验数据进行了处理分析,结果表明:相较传统频域线性均衡和时域的判决反馈(decision feedback equalizer,DFE)算法,该算法的鲁棒性强,误比特率显著降低.展开更多
针对符号间干扰信道的多天线分集接收问题,提出一种单输入多输出(SIMO)系统盲迭代均衡算法。该算法利用吉布斯样本法处理思路,在SIMO条件下推导了信道冲击响应、发送符号等未知参数的条件后验分布,根据该条件概率逐个参数进行随机采样,...针对符号间干扰信道的多天线分集接收问题,提出一种单输入多输出(SIMO)系统盲迭代均衡算法。该算法利用吉布斯样本法处理思路,在SIMO条件下推导了信道冲击响应、发送符号等未知参数的条件后验分布,根据该条件概率逐个参数进行随机采样,通过不断迭代更新来逼近最大后验概率(MAP)估计的结果。该算法的一个显著特点是具有软输入软输出(SISO)结构,因此在编码系统中可以与信道译码结合,通过联合迭代进一步提升均衡的性能。计算机仿真结果表明,在严重符号间干扰信道条件下,SIMO系统盲迭代均衡算法的性能非常接近于已知信道时迭代均衡算法的性能,距离理想无符号间干扰信道分集合成的性能差距只有约1 d B。展开更多
基金Supported by the National Natural Science Foundation of China(60772056)
文摘A new adaptive filtering principle based on capability control and semi-blind method is presented. A new semi-blind space-time equalizer based on constant modulus characteristic and structure risk minimum （SRM） criterion is also proposed. The equalizer sufficiently exploits the learning information of communication signals by using the structure information of filter itself through capability control technique. Namely, it maximizes the amount of learning information to im- prove filter tracking performance. Simulations are carried out and the result is compared with that of typical recursive least squares space-time equalizer （RLS-STE） and constant modulus semi-blind space-time equalizer （ CM-SB-STE ）. The results show that, even if with insufficient training data, the SRM constant modulus semi-blind space-time equalizer （SCM-SB-STE） keeps good tracking per- formance, showing promises in mobile wireless communications.
文摘基于Gibbs采样技术,设计了一种新的半盲联合信道估计与均衡单载波相干的水声通信接收机.首先,通过在数据帧前加入具有循环结构的训练序列估计信道,针对水声信道的稀疏特点,采用迭代稀疏最小化(sparse learning via iterative minimization,SLIM)算法提高低信噪比下的信道估计精度,得到信噪比精确的估计.其次,在数据帧处理中,基于水声信道的时变特点,将数据帧分成特定长度的重叠块进行处理.在重叠块中基于之前得到的信道估计结果,采用Gibbs采样技术得到发送信息的最大后验概率(maximum a posteriori,MAP),同时利用新获得的信息更新信道,跟踪信道的变化.对厦门港海域获得的10km海洋试验数据进行了处理分析,结果表明:相较传统频域线性均衡和时域的判决反馈(decision feedback equalizer,DFE)算法,该算法的鲁棒性强,误比特率显著降低.
文摘针对符号间干扰信道的多天线分集接收问题,提出一种单输入多输出(SIMO)系统盲迭代均衡算法。该算法利用吉布斯样本法处理思路,在SIMO条件下推导了信道冲击响应、发送符号等未知参数的条件后验分布,根据该条件概率逐个参数进行随机采样,通过不断迭代更新来逼近最大后验概率(MAP)估计的结果。该算法的一个显著特点是具有软输入软输出(SISO)结构,因此在编码系统中可以与信道译码结合,通过联合迭代进一步提升均衡的性能。计算机仿真结果表明,在严重符号间干扰信道条件下,SIMO系统盲迭代均衡算法的性能非常接近于已知信道时迭代均衡算法的性能,距离理想无符号间干扰信道分集合成的性能差距只有约1 d B。
