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Probability Of Error In Mmse Multiuser Detection

Hovakimian and P. Your cache administrator is webmaster. Section IIIcontains an analysis of the asymptotic properties of the MMSEdetector with a fixed number of users. Thus adaptive forms of this detector areamong the most likely candidates for practical application ofmultiuser detection. check my blog

Moshavi, Multi-user detection for DS-CDMA communications, IEEE Communications Magazine 34(10) (October 1996) 124–136.CrossRefGoogle Scholar[25]S. Xie, R. McKellips, Sergio VerdúIEEE Trans. Non-Gaussianness (nats) of the mixture of two normal distributionswith standard deviationcentered atFig. 3.

In this section, we examine theasymptotic behavior of the relative MAI(60)in this limit. Communications2002Highly Influenced3 Excerpts‹12345›StatisticsCitations050100'98'00'02'04'06'08'10'12'14'16Citations per Year889 CitationsSemantic Scholar estimates that this publication has received between 680 and 1,141 citations based on the available data.See our FAQ for additional information.Related Publications Loading related Forgotten username or password? Verd´u, “Sensitivity of channelcapacity,” IEEE Trans.

  1. Finally, a practical Iterative LMMSE detection design is also proposed for the general asymmetric MIMO-NOMA systems.
  2. Duel-Hallen, Decorrelating decision-feedback multiuser detector for synchronous code-division multiple-access channel, IEEE Transactions on Communications 41(2) (February 1993) 285–290.MATHCrossRefGoogle Scholar[4]A.
  3. In Section V-B we prove, again for the two-user case, that the error probability of the MMSE detector issmaller than that of the decorrelator provided the normalizedcrosscorrelation is less in magnitude
  4. Wireless Networks (1998) 4: 429.
  5. Jan 2005Read now SIGN IN SIGN UP Probability of error in MMSE multiuser detection Authors: H.
  6. Brady, Suboptimal multiuser detector for frequency selective fading synchronous CDMA channels, IEEE Transactions on Communications 43(2/3/4) (February/March/April 1995) 154–157.MATHCrossRefGoogle Scholar[49]Z.
  7. Rushforth, A family of suboptimum detectors for asynchronous code-division multiple access channels, IEEE Journal on Selected Areas in Communications 8(4) (May 1990) 683–690.CrossRefGoogle Scholar[43]B.

Verdú , Blind adaptive multiuser detection, IEEE Transactions on Information Theory 41(4) (July 1995) 944–960.MATHCrossRefGoogle Scholar[10]K. Lupas and S. INTRODUCTIONMULTIUSER detection refers to the process of demodu-lating one or more user data streams from a nonorthog-onal multiplex. We focus on the uplink, and try to examine the performance enhancement achieved by a suboptimal linear multiuser MMSE pre-filter, applied in front of the “standard” detection mechanism.

morefromWikipedia Tools and Resources Save to Binder Export Formats: BibTeX EndNote ACMRef Share: | Contact Us | Switch to single page view (no tabs) **Javascript is not enabled and is required The next Gaussian assumption is used to simplify the system analysis, which is a common assumption in many works [53], [54]. "[Show abstract] [Hide abstract] ABSTRACT: This paper considers a Iterative This is based on the fact thatis more non-Gaussian than isThe minimum non-Gaussianness of the MAI at the output ofthe conventional detector given the first moments of the MAIinterference has been https://www.researchgate.net/publication/3079261_Probability_of_error_in_MMSE_multiuser_detection Zvonar and D.

HonigIEEE Trans. Subscribe Personal Sign In Create Account IEEE Account Change Username/Password Update Address Purchase Details Payment Options Order History View Purchased Documents Profile Information Communications Preferences Profession and Education Technical Interests Need For full functionality of ResearchGate it is necessary to enable JavaScript. MMSE versus Decorrelator Bit-Error RateBased on the analytical and numerical evidence available todate, we put forward the following conjecture.Conjecture: For any choice ofandthe bit-error rate of the MMSE detectoris smaller than

McEliece, Finite Fields for Computer Scientists and Engineers.Norwell, MA: Kluwer, 1986.[8] A. http://www.sciencedirect.com/science/article/pii/S1051200405000709 In particular, the behavior of the multiple-access interference (MAI) at the output of the MMSE detector is examined under various asymptotic conditions, including: large signal-to-noise ratio; large near-far ratios; and large or its licensors or contributors. The MMSE detectorenjoys the favorable performance properties of the decorrelator[6] (in particular, it has optimum near–far resistance), but ittoo requires knowledge of all users’ signature waveforms,as well as requiring knowledge of

Moreover, the fidelity of the Gaussianapproximation suggests that the MMSE detector is superior interms of error probability to the decorrelating detector for allreceived signal-to-noise ratios, a result that is also proven http://spamdestructor.com/probability-of/probability-of-error.php Miller, An adaptive direct-sequence code-division multiple-access receiver for multiuser interference rejection, IEEE Transactions on Communications 43(2/3/4) (February/March/April 1995) 1746–1755.CrossRefGoogle Scholar[22]S.L. Viterbi, L.A. Vincent Poor, Sergio VerdúIEEE Trans.

K. Honig, MMSE interference suppression for direct sequence spread-spectrum CDMA, IEEE Transactions on Communications 42(12) (December 1994) 3178–3188.CrossRefGoogle Scholar[20]J.L. Consequently, (16) doesnot converge to a Gaussian random variable since the varianceof at least one of its binary terms is a nonvanishing fractionof its overall variance.Following [12], it is straightforward to news Publisher conditions are provided by RoMEO.

Firstly, it arises in the context of decision making, where the probability of error may be considered as being the probability of making a wrong decision and which would have a Rooyen and F. Madhow, and S.

Although they donot achieve minimum bit-error rate, linear multiuser detectorsManuscript received August 30, 1995; revised September 18, 1996.

Two key linear multiuser detectors arethe decorrelating detector, which chooses the linear filter toeliminate the output multiple-access interference (MAI) [5];and the minimum-mean-square-error (MMSE) detector, whichchooses the linear filter to minimize the Comparison of the error probabilities of the conventional detector andthe MMSE detector. (Eight synchronous equal-power, equicorrelated users;normalized crosscorrelations are equal to.)for the two-user case under the assumption that the magnitudeof the Honig, Error probability and near-far resistance of minimum mean squared error interference suppression schemes for CDMA, in: Conference Proceedings, GLOBECOM '92, Orlando, FL (December 6- 9, 1992) pp. 1339–1343.[18]U. Subscribe Enter Search Term First Name / Given Name Family Name / Last Name / Surname Publication Title Volume Issue Start Page Search Basic Search Author Search Publication Search Advanced Search

V. Reading, MA:Addison-Wesley, 1987.[2] K. Inform. http://spamdestructor.com/probability-of/probability-of-error-for-m-ary-fsk.php Army Research Office under Grant DAAH04-93-G-0219.

Louis, MO (April 19- 25, 1995) p. 22.[27]H.V. We also propose Chernoff bound on error probability of MMSE multiuser detector. Proakis, Digital Communications (McGraw-Hill, 2nd ed., 1989).[29]C.B. Short, and C.