摘要
该文研究在频率选择性瑞利衰落信道中MC-CDMA系统的盲空时干扰抑制。考虑对应于子载波的衰落系数是信道冲激响应的离散傅里叶变换,通过研究多径信号频域码空间和数据矢量空间,采用噪声子空间技术进行盲信道估计。为了抑制多址干扰(MAI),提出一种基于投影的辅助矢量(PAV)算法,用前一级滤波矢量的输出重构最大比合并(MRC)滤波矢量,将重构滤波矢量投射到由基本滤波矢量和前几级辅助矢量张成子空间上的正交投影作为辅助矢量,将前一级滤波矢量和新产生辅助矢量线性合并得到新的滤波矢量。仿真结果验证了该算法的有效性。
This paper investigates blind space-time interference suppression for MultiCarrier CDMA （MC-CDMA） system in frequency selective Rayleigh fading channel. It is considered that the fading coefficients corresponding to subcarriers are discrete Fourier transform of multipath coefficients. By investigating the code space in frequency domain and the data vector space of the multipath signals, the noise-subspace-based approach is used to perform blind channel estimation. To suppress multiuser access interference （MAI）, a Projection-based Auxiliary Vector （PAV） algorithm is proposed. A reconstructed Maximum Ratio Combining （MRC） filtering vector can be evaluated by using the outputs of the last filtering vector. Taking the orthogonal projection of the reconstructed filtering vector onto the space spanned by the basic filtering vector and the previously derived auxiliary vector as an auxiliary vector, a new filtering vector can be formed by linearly combining the last filtering vector and newly generated auxiliary vector. Simulation results show the effectiveness of the proposed algorithms.
出处
《电子与信息学报》
EI
CSCD
北大核心
2006年第7期1246-1250,共5页
Journal of Electronics & Information Technology
基金
国家教育部优秀青年教师基金
西北工业大学双新人才建设基金资助课题
关键词
多载波码分多址
盲干扰抑制
接收天线分集
信道估计
MC-CDMA, Blind interference suppression, Receive antenna diversity, Channel estimation
