Title :
Compressive sensing based narrowband interference cancellation for power line communication systems
Author :
Sicong Liu ; Fang Yang ; Chao Zhang ; Jian Song
Author_Institution :
Electron. Eng. Dept., Tsinghua Univ., Beijing, China
Abstract :
A novel compressive sensing (CS) based narrowband interference (NBI) cancellation approach for power line communication (PLC) systems is proposed in this paper. The repeated training sequences of the preamble in PLC systems are utilized for differential measuring to acquire the measuring vector. Under the CS framework, the sparse high-dimensional NBI signal can be reconstructed from the measuring vector of much smaller size obtained through the proposed CS-based differential measuring (CSDM) method. It is verified by theoretical analysis and simulations that the proposed method outperforms conventional anti-NBI methods under the PLC channel.
Keywords :
carrier transmission on power lines; compressed sensing; interference suppression; sequences; signal reconstruction; CS-based differential measuring method; CSDM method; PLC channel; anti-NBI method; compressive sensing based narrowband interference cancellation approach; measuring vector; power line communication system; repeated training sequences; sparse high-dimensional NBI signal reconstruction; Estimation; Frequency-domain analysis; Interference; OFDM; Power line communications; Time-domain analysis; Vectors; Narrowband interference (NBI); compressive sensing (CS); repeated training sequences (TS);
Conference_Titel :
Global Communications Conference (GLOBECOM), 2014 IEEE
Conference_Location :
Austin, TX
DOI :
10.1109/GLOCOM.2014.7037263