2001
DOI: 10.1109/49.932701
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Soft iterative multisensor multiuser detection in coded dispersive CDMA wireless channels

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Cited by 16 publications
(5 citation statements)
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“…Since the environment is essentially interference-limited, multisensor fading diversity can provide only modest gains. 20 Further, in-cell users may be geographically clustered, restricting the spatial separation offered by the beamformer configuration. A simple signature-time transmit diversity technique, proposed here, addresses these limitations, when used in conjunction with multisensor MMSE-IMD receivers.…”
Section: Signature-time Diversity In Cdma Uplink Networkmentioning
confidence: 99%
“…Since the environment is essentially interference-limited, multisensor fading diversity can provide only modest gains. 20 Further, in-cell users may be geographically clustered, restricting the spatial separation offered by the beamformer configuration. A simple signature-time transmit diversity technique, proposed here, addresses these limitations, when used in conjunction with multisensor MMSE-IMD receivers.…”
Section: Signature-time Diversity In Cdma Uplink Networkmentioning
confidence: 99%
“…Recently, much work has been done on combining diversity techniques with MUD algorithms [15][16][17]. Some authors like [18] have proposed iterative MUD techniques using error control coding and antenna arrays while in [19] a soft iterative multisensor array receiver for coded MUD CDMA wireless uplink is proposed. Most recently work in [20] investigates the joint DS-CDMA space-time MUD system with error control coding over a multipath fading channel.…”
Section: Introductionmentioning
confidence: 99%
“…Also, Reed and Alexander in [9] have proposed an iterative multiuser detection technique using error control coding and antenna arrays. Following along the same lines, Thomas and Geraniotis in [10] have recently proposed a soft iterative multisensor array receiver for coded multiuser wideband code-division multiple-access wireless uplink. In light of the above, our objective in this paper is to provide both theoretical and simulation results for a practical DS-CDMA system that employs error control coding (i.e., convolutional coding (CC)) and space-time MMSE-MUD over asynchronous multipath fading channels.…”
Section: Introductionmentioning
confidence: 92%
“…= diag[a(1),...,a(M)], Ediag[El, *-, Elp .., -EK1, ., EKp], the block matrix v = IM 0 A/E where 0 denotes the Kronecker product. In this case, the space-time MMSE detector is given by [11] f [N + a2E{ (Z2 })-l -1 (10) where E(x) represents the expected value of x. Similar to the single-path channel case, the optimum decision rule for the mth data bit of the kth user's signal is given by bk(M) = sgn (R{.l' (Ta Dkm }) = sgn (ik(m)) (11) where bkk(r) = R4.k (TY)k}, and (*)kj,m denotes the kj entry of the mth sub-matrix.…”
Section: Introductionmentioning
confidence: 99%