Single channel blind separation of oversampling communication signals based on ICA
- Resource Type
- Conference
- Authors
- Lu, Guangkuo; Xiao, Manlin; Wei, Ping; Li, Jiantao
- Source
- 2014 IEEE International Conference on Communiction Problem-solving Communication Problem-Solving (ICCP), 2014 IEEE International Conference on. :364-367 Dec, 2014
- Subject
- Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Phase shift keying
Signal to noise ratio
Vectors
Source separation
Estimation
Algorithm design and analysis
Simulation
- Language
A new method for blind separation of multiple communication signals received by a single sensor is presented in this paper. Based on the different rates and waveforms of communication signals, we employ oversampling and singular value decomposition (SVD) to turn a single demixing problem into the estimation problem of waveform and symbol that can be solved by conventional independent component analysis (ICA) algorithms. Simulation results demonstrate the effectiveness and superiority of the proposed algorithm.