2001
DOI: 10.1109/78.934146
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Eavesdropping in the synchronous CDMA channel: an EM-based approach

Abstract: The problem of blind detection in a synchronous code division multiple access (CDMA) system when there is no knowledge of the users' spreading sequences is considered. An expectation maximization (EM)-based algorithm that exploits the finite alphabet (FA) property of the digital communications source is proposed. Simulations indicate that this approach, which makes use of knowledge of the subspace spanned by the signaling multiplex, achieves the Cramér-Rao lower bound (CRB). The issues of subspace estimation a… Show more

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Cited by 28 publications
(7 citation statements)
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“…Multiuser system is always one of the main purposes in the PN estimation. In Yingwei and Poor, an EM‐based algorithm for the PN sequence estimation is proposed. Since this algorithm needs to be synchronized, a synchronization method is presented in Yingwei and Poor .…”
Section: Introductionmentioning
confidence: 99%
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“…Multiuser system is always one of the main purposes in the PN estimation. In Yingwei and Poor, an EM‐based algorithm for the PN sequence estimation is proposed. Since this algorithm needs to be synchronized, a synchronization method is presented in Yingwei and Poor .…”
Section: Introductionmentioning
confidence: 99%
“…In Yingwei and Poor, an EM‐based algorithm for the PN sequence estimation is proposed. Since this algorithm needs to be synchronized, a synchronization method is presented in Yingwei and Poor . In Shalvi and Weinstein and Moulines et al, the method introduced in Burel and Bouder and Bouder for the multiuser systems in the AWGN channels is extended.…”
Section: Introductionmentioning
confidence: 99%
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“…Besides, the pre-assumed structure of code generating mechanism confined the use of this method. For synchronous short-code multiuser systems, Yingwei and Poor [13,14] proposed an EM-based algorithm for estimating the spreading codes after synchronisation. They also presented a method for acquiring code synchronisation.…”
Section: Introductionmentioning
confidence: 99%