基于奇异值分解的多载波调制信号盲识别算法

Blind recognition algorithm of multi-carrier modulation signal based on singular value decomposition

针对高斯白噪声背景条件下,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多载波调制信号盲识别算法。在无需知道任何多载波调制信号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,并取得了良好的效果。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。

In order to solve the intra-class blind recognition problem of IFFT based multi-carrier modulation signals under the conditions of white Gaussian noise background, a blind identification algorithm of multi-carrier modulation signal is proposed. This algorithm is based on singular value decomposition of structural matrix. Without any prior knowledge of data information, the type and length of the spreading code, this algorithm can determine the type of multi-carrier modulation signal accurately according to the number of larger non zero singular values of structural matrix in accordance with simple criteria, and achieve good results. It does not need to design the complex classifier in the traditional recognition algorithm after feature extraction, and simplifies the recognition process. Both theoretical analysis and simulation results verified the correctness and effectiveness of the proposed algorithm. Therefore, the algorithm has certain theoretical and practical reference value.