Asymptotic Analysis of Blind Multiuser Detection with Blind Channel Estimation

Høst-Madsen, A.; Wang, Xiaodong; Bahng, Seungjae

doi:10.1109/tsp.2004.827158

Cited by 12 publications

(13 citation statements)

References 17 publications

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“…Note that the similar data model also holds when the effects of chip waveform at the transmitter and chip matched filtering at the receiver are taken into account [21]. Using (2), we have that the signature vector w k can be written as…”

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confidence: 96%

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Performance Analysis of Blind Subspace-Based Signature Estimation Algorithms for DS-CDMA Systems with Unknown Correlated Noise

Zarifi

2006

EURASIP J. Adv. Signal Process.

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We analyze the performance of two popular blind subspace-based signature waveform estimation techniques proposed by Wang and Poor and Buzzi and Poor for direct-sequence code division multiple-access (DS-CDMA) systems with unknown correlated noise. Using the first-order perturbation theory, analytical expressions for the mean-square error (MSE) of these algorithms are derived. We also obtain simple high SNR approximations of the MSE expressions which explicitly clarify how the performance of these techniques depends on the environmental parameters and how it is related to that of the conventional techniques that are based on the standard white noise assumption. Numerical examples further verify the consistency of the obtained analytical results with simulation results.

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confidence: 96%

“…The synchronous case is mainly considered for the sake of notational brevity. It is straightforward to extend our analysis to the asynchronous[15] as well as the multiple-antenna[21] DS-CDMA systems.…”

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confidence: 99%

Performance Analysis of Blind Subspace-Based Signature Estimation Algorithms for DS-CDMA Systems with Unknown Correlated Noise

Zarifi

2006

EURASIP J. Adv. Signal Process.

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“…Therefore, the differential encoding and decoding schemes are employed to solve this problem, and the decision rule becomes [69] d, (j) = sgn JR [(m ? P _ UID q(y))(A "P-U^O " 0)J (3)(4)(5)(6)(7)(8)(9)(10)(11)(12)(13)(14)(15)(16)(17) where ?? (•) denotes the real part of a complex value.…”

Section: Blind Zf Detectormentioning

confidence: 99%

“…It means that if H^, 0 is the solution to (3.25), so is H^ 0 e J * . Consequently, the ambiguity will be transferred to the estimated detectors [16]. Therefore, the perturbation of the proposed detector can be presented by m which can be written as trffiJAH^Hf }Y) .…”

Section: Covariance Matrix Of the Proposed Detectormentioning

confidence: 99%

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Blind multiuser detection techniques for DS-CDMA systems

Liu¹

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Direct-sequence code-division multiple-access (DS-CDMA) technique is a widely used digital cellular technique for personal communication, which allows multiple users to share limited bandwidth and time. In CDMA systems, the transmitted signals will experience multipath fading channel as well as additive white Gaussian noise (AWGN). Therefore, the capacity and performance of CDMA systems are affected by several types of interference, including multiple access interference (MAI), inter-symbol interference (ISI) as well as AWGN. During the past few decades, blind multiuser detection (MUD) technique has attracted more and more attention since it can suppress various types of interference and demodulate the desired signals efficiently and effectively. In this thesis, various issues regarding blind multiuser detection against MAI, ISI, and AWGN will be addressed. Assuming the received signals are processed in a batch manner, several types of blind batch MUD algorithms will firstly be derived. The first type is a user identification and detection (UID) algorithm. It is a two-step detector, in which we first identify the active unknown interferers by comparing the estimated power levels of each admissible user. Following that, a zero-forcing (ZF) detector can be formed to suppress the MAI and ISI. The second type of batch MUD is an inter-symbol subspace-based (ISSB) minimum mean square error (MMSE) detector. This detector utilizes the inter-symbol correlation matrix formed by two successive received signal bits and does not need to estimate the background noise level. Due to the properties of this matrix, we propose a simplified iv

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