摘要
从近最优检测的多天线多电平正交调幅条件下的广义概率数据关联(GPDA)算法出发,把多入多出(MIMO)系统的GPDA算法与码分多址(CDMA)中的多用户联合检测相结合,得到了软入软出(SISO)的GPDA加前向信道解码(FEC)的迭代多用户检测方法.该方法利用外部信息的传递进行干扰抵销并进行联合解码和判决.计算机仿真验证了此算法可以以较低的复杂度获得近似最大似然单用户接收机的误比特率性能.
Based on the generalized probability-data-association (GPDA) algorithm method in quadrature-amplitude-modulated (QAM) in multi-input-multi-output (MIMO) system, the same algorithm was applied to code division multiple access (CDMA) system combined with multi-user detection method, and the soft-input-soft-output (SISO) GPDA + SISO FEC(forward error correction) joint multi-user detector (MUD) was proposed. The external information was utilized to process interference reducing, decoding and decision. Computer simulation results show this scheme can achieve maximum near-optimism performance of single user receiver with less complexity.
出处
《北京邮电大学学报》
EI
CAS
CSCD
北大核心
2005年第5期34-37,共4页
Journal of Beijing University of Posts and Telecommunications
关键词
码分多址
广义概率数据关联算法
迭代多用户检测
软入软出
code division multiple access
generalized probability-data-association algorithm
iterated multi-user detection
soft-input-soft-output