摘要
该文针对多径衰落信道下,基于IFFT实现的多载波调制信号类内盲识别问题,提出了一种基于对构造数据矩阵进行奇异值分解的算法。在无需知道任何数据信息和扩频码类型及其长度等先验知识的条件下,根据构造数据矩阵的较大非零奇异值个数,按照简单的判定准则,即可准确判断多载波信号的类型,取得了良好的效果。无需传统识别算法中特征提取之后复杂的分类器设计,简化了识别流程。理论分析和仿真均验证了算法的正确性和有效性,证明算法具有一定的理论和实际参考价值。
In order to solve the intra-class blind recognition problem of IFFT-based multi-carrier modulation signals under the conditions of multi-path fading background,a blind identification algorithm of multi-carrier modulation signal is proposed based on singular value decomposition of structural matrix.Without any prior knowledge of data information as well as the type and length of spreading code,this algorithm can determine the type of multi-carrier modulation signal accurately according to the number of larger non-zero singular value of structural matrix in accordance with simple criteria,and have achieved good results.It does not have to design the complexity classifier in the traditional recognition algorithm after feature extraction,and simplifies the recognition process.Both the theoretical analysis and simulation results verifie the correctness and effectiveness of the algorithm,therefore,the algorithm has certain theoretical and practical reference value.
出处
《电子与信息学报》
EI
CSCD
北大核心
2010年第7期1756-1759,共4页
Journal of Electronics & Information Technology
关键词
无线通信
多载波调制
构造矩阵
奇异值分解
非零奇异值
盲识别
Wireless communication
Multi-Carrier Modulation（MCM）
Structural matrix
Singular Value Decomposition（SVD）
Nonzero singular value
Blind recognition
