1999
DOI: 10.1109/25.790508
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Adaptive multiuser detection and beamforming for interference suppression in CDMA mobile radio systems

Abstract: Abstract-This paper considers the problem of interference suppression in direct-sequence code-division multiple-access (DS-CDMA) systems over fading channels. An adaptive array receiver is presented which integrates multiuser detection, beamforming, and RAKE reception to mitigate cochannel interference and fading. The adaptive multiuser detector is formulated using a blind constrained energy minimization criterion and adaptation is carried out using a novel algorithm based on set-membership parameter estimatio… Show more

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Cited by 35 publications
(16 citation statements)
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“…A k is described in [23]. Given n = 40 and different GSNR, we can get bit error rate (BER) of information bitb d (n) = sign(Z (n)M d (n)) as a function of GSNR depicted in Figure 5 for R-LP-State space, LP-State space, State space algorithm.…”
Section: Resultsmentioning
confidence: 99%
“…A k is described in [23]. Given n = 40 and different GSNR, we can get bit error rate (BER) of information bitb d (n) = sign(Z (n)M d (n)) as a function of GSNR depicted in Figure 5 for R-LP-State space, LP-State space, State space algorithm.…”
Section: Resultsmentioning
confidence: 99%
“…The potential of OBE algorithms has been realized with developments in wireless communications, speech processing, adaptive identification, short-term statistical classification of signals, and selective state estimation and decomposition. Recent signal processing application areas have included multiuser detection in CDMA systems [49,50], channel equalization [34,51], downlink beamforming in multipleantenna systems [52], line-of-bearing object tracking [53], fast tracking of speech models for phonetic labelling [53,54], audio watermarking [55], and machine learning [36]. Some of these applications have employed QOBE, and the present paper will provide substance to behaviours observed, and lay the groundwork for further QOBE application.…”
Section: Obe Algorithmsmentioning
confidence: 93%
“…α-Stable distribution, a generalization of Gaussian distribution, is better for modeling impulsive noises than Gaussian distribution in signal processing [1,2,14,15]. This class of process has no close form of probability density function and finite second-order moment.…”
Section: Conclusion and Remarkmentioning
confidence: 98%