Relay transmission technique can be utilized to increase coverage or enhance throughput for conventional cellular communication systems. There are two typical relaying schemes： amplify-and- forward （AF） and decode-...Relay transmission technique can be utilized to increase coverage or enhance throughput for conventional cellular communication systems. There are two typical relaying schemes： amplify-and- forward （AF） and decode-and-forward （DF）. This paper presents a new scheme named soft symbol Estimation and Forward （SEF） , which holds the advantages of both AF and DF, i.e. keeping soft information and obtaining decoding gain. This scheme has similar operations as DF except that the operations are performed in a soft-input-soft-output （SISO） fashion. The relay performs SISO deco- ding, SISO re-encoding and key point soft symbol estimation, which is derived based on the maxi- mum likelihood （ML） criteria. Simulation results prove that the proposed SEF scheme much outper- forms both AF and DF.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
文摘Relay transmission technique can be utilized to increase coverage or enhance throughput for conventional cellular communication systems. There are two typical relaying schemes： amplify-and- forward （AF） and decode-and-forward （DF）. This paper presents a new scheme named soft symbol Estimation and Forward （SEF） , which holds the advantages of both AF and DF, i.e. keeping soft information and obtaining decoding gain. This scheme has similar operations as DF except that the operations are performed in a soft-input-soft-output （SISO） fashion. The relay performs SISO deco- ding, SISO re-encoding and key point soft symbol estimation, which is derived based on the maxi- mum likelihood （ML） criteria. Simulation results prove that the proposed SEF scheme much outper- forms both AF and DF.
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。
