2013 IEEE 78th Vehicular Technology Conference (VTC Fall) 2013
DOI: 10.1109/vtcfall.2013.6692242
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Information Theory Analysis of Blind Detection for PCMA Satellite Communication Systems

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Cited by 8 publications
(7 citation statements)
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“…Single‐channel blind separation (SCBS) technology is of significance in the fields of communication anti‐interference, paired carrier multiple access (PCMA) signal monitoring [1] etc. However, due to the lack of prior knowledge, it has been a challenge to solve the SCBS problem [2].…”
Section: Introductionmentioning
confidence: 99%
“…Single‐channel blind separation (SCBS) technology is of significance in the fields of communication anti‐interference, paired carrier multiple access (PCMA) signal monitoring [1] etc. However, due to the lack of prior knowledge, it has been a challenge to solve the SCBS problem [2].…”
Section: Introductionmentioning
confidence: 99%
“…Single-channel blind source separation (SCBSS) is a problem that can be found in many practical applications, such as co-frequency overlapped signal separation [1], [2], paired carrier multiple access (PCMA) signal monitoring [3], and spacebased automatic identification system (AIS) signal detection [4]. Since the number of observations is less than the number of sources in SCBSS, it is an ill-conditioned mathematical problem which is very difficult to be solved.…”
Section: Introductionmentioning
confidence: 99%
“…However, the separation performance using the symbol detection error probability is mostly based on Monte Carlo simulations only. Although [1214] have theoretically analysed the blind separation performance of PCMA signals based on Forney's theory and derived a lower bound on the separation performance, the parameters of PCMA signals are assumed to be known and little insight have been offered to evaluate the separation performance as function of the parameters' estimation error. In this paper, the influence of each parameter's estimation error on the separation performance is analysed and a more general form on the error probability of single‐channel PCMA signals blind separation is derived.…”
Section: Introductionmentioning
confidence: 99%