A SCBSS methodology for time-frequency overlapped signals using non-negative matrix factorisation

作者：Pang, Lihui^*; Deng, Xianrong

来源：International Journal of Electronics, 2017, 104(4): 624-634.

DOI：10.1080/00207217.2016.1242160

• SCBSS
• NMF
• time-frequency overlapped
• electromagnetic surveillance
• dynamical embedding frame

This article presents a new methodology for single-channel blind signal separation (SCBSS) of time-frequency overlapped signals in electromagnetic surveillance domain. The proposed algorithm is based on non-negative matrix factorisation (NMF) through a dynamical embedding framework. This method is deterministic requiring no priori information of the original signals. Firstly, a series of delay vectors of the single-channel recording are selected to construct an appropriate dynamical embedding matrix. NMF algorithm is used to decompose the dynamical embedding matrix. Then, a convenient expansion basis of original sources can be obtained, which will be projected back to the original measurement space according to the dynamical embedding framework. The power density spectrum of the projected components and the independent nature of original signals are employed to extract the interested signals from measurement space. The feasibility and effectiveness of proposed algorithm are proved by computer simulation.

• 出版日期2017-4
• 单位南华大学