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Singleāchannel blind source separation for paired carrier multiple access signals
- Source :
- IET Signal Processing. 12:37-41
- Publication Year :
- 2018
- Publisher :
- Institution of Engineering and Technology (IET), 2018.
-
Abstract
- Paired carrier multiple access (PCMA) is one of the most common single-channel mixtures. It is still a great challenge to recover the transmitted bits from non-cooperative received PCMA signals, due to the high complexity of existing single-channel blind source separation (SCBSS) algorithms. Hence, a double-direction delayed-decision-feedback sequence estimation (DD-DDFSE) algorithm for non-causal high-order channel is proposed to realise the separation of PCMA signals. The proposed algorithm employs the Viterbi algorithm (VA) with low-order channel twice instead of conventional VA with high-order channel once. The symbols estimated by the initial VA are utilised to equalise the causal and non-causal taps of the channel beyond the trellis state in the second VA. The relationship between the decision-feedback error from the initial VA and the performance of the second VA is also derived. Compared with state-of-the-art maximum likelihood sequence estimation algorithms, DD-DDFSE algorithm can not only decrease the computation complexity but also improve the separation performance.
- Subjects :
- Sequence
Computer science
020206 networking & telecommunications
02 engineering and technology
Trellis (graph)
computer.file_format
Maximum likelihood sequence estimation
Viterbi algorithm
Blind signal separation
030507 speech-language pathology & audiology
03 medical and health sciences
symbols.namesake
Signal Processing
0202 electrical engineering, electronic engineering, information engineering
symbols
State (computer science)
Electrical and Electronic Engineering
0305 other medical science
Pulse-code modulation
Algorithm
computer
Communication channel
Subjects
Details
- ISSN :
- 17519683 and 17519675
- Volume :
- 12
- Database :
- OpenAIRE
- Journal :
- IET Signal Processing
- Accession number :
- edsair.doi...........856c632c121c90386588270c48e6aab3