Probability Of Error In Mmse Multiuser Detection
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May 1997 Page 858-871 IEEE Press Piscataway, NJ, USA tableofcontents doi>10.1109/18.568697 2006 Article orig-research Bibliometrics ·Downloads (6 Weeks): n/a ·Downloads (12 Months): n/a ·Downloads (cumulative): n/a ·Citation Count: 81 Recent authors with related interests Concepts in this article powered by Concepts inProbability of error in MMSE multiuser detection Multiuser detection Multiuser detection (also known as joint detection) is one of the receiver design technology for detecting desired signal(s) from interference and noise. Traditionally single-user receiver is known suffering from the so-called near-far problem, where a http://ieeexplore.ieee.org/iel1/18/12351/00568697.pdf near-by or strong signal source may block the signal receiption of far-away or weak user(s). The near-far is more serious in CDMA-liked wireless multi-user communication systems. morefromWikipedia Minimum mean square error In statistics and signal processing, a minimum mean square error (MMSE) estimator describes the approach which minimizes the mean square error (MSE), which is a common measure of estimator quality. The term http://dl.acm.org/citation.cfm?id=2263187.2265089 MMSE specifically refers to estimation in a Bayesian setting, since in the alternative frequentist setting there does not exist a single estimator having minimal MSE. morefromWikipedia Probability of error In statistics, the term "error" arises in two ways. 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 different value for each type of error. morefromWikipedia Probability Probability is ordinarily used to describe an attitude of mind towards some proposition of whose truth we are not certain. The proposition of interest is usually of the form "Will a specific event occur?" The attitude of mind is of the form "How certain are we that the event will occur?" The certainty we adopt can be described in terms of a numerical measure and this number, between 0 and 1, we call probability. morefromWikipedia Near-far problem The near-far problem or hearability problem is a situation that is common in wireless communication systems, in particular, CDMA. In some signal jamming techniques, the near-far problem is exploited to disrupt communicati
loginOther institution loginHelpJournalsBooksRegisterSign inHelpcloseSign in using your ScienceDirect credentialsUsernamePasswordRemember meForgotten username or password?Sign in via your institutionOpenAthens loginOther institution login Purchase Loading... Export You have selected 1 citation for export. Help Direct http://www.sciencedirect.com/science/article/pii/S1051200405000709 export Save to Mendeley Save to RefWorks Export file Format RIS http://link.springer.com/article/10.1023/A:1019141414842 (for EndNote, ReferenceManager, ProCite) BibTeX Text Content Citation Only Citation and Abstract Export Advanced search Close This document does not have an outline. JavaScript is disabled on your browser. Please enable JavaScript to use all the features on this page. Digital Signal Processing Volume 17, Issue probability of 1, January 2007, Pages 297-310 New results for probability of error performance in MMSE multiuser detection for CDMA Author links open the overlay panel. Numbers correspond to the affiliation list which can be exposed by using the show more link. Opens overlay Amit Kumar Kohli ⁎, amitkumar_kohli@rediffmail.com, amit_kumar_kohli@yahoo.com, Opens overlay D.K. Mehra dkmecfec@iitr.ernet.in Department of Electronics and Computer probability of error Engineering, Indian Institute of Technology, Roorkee 247667, India Available online 23 May 2005 Show more Choose an option to locate/access this article: Check if you have access through your login credentials or your institution. Check access Purchase Sign in using your ScienceDirect credentials Username: Password: Remember me Not Registered? Forgotten username or password? OpenAthens login Login via your institution Other institution login doi:10.1016/j.dsp.2005.04.010 Get rights and content AbstractThe minimum-mean-square-error (MMSE) linear multiuser detector considers multiple access interference (MAI) and background Gaussian noise asymptotically Gaussian for a large number of users in asynchronous code division multiple access (CDMA) system. For this asymptotic condition, the MMSE detector outperforms the decorrelating detector only if the value of normalized cross-correlation (NCC) for any pair of code sequence is less than or equal to numerically derived upper bounded value. The available results in literature have been derived for two-user case. In this paper, we have presented a general formula to calculate upper bound on NCC for arbitrary number of users under near-far situation. We also propose
linear MMSE multiuser detection combined with a standard IS-95 uplinkAuthorsAuthors and affiliationsBenjamin M. ZaidelShlomo Shamai (Shitz)Hagit MesserArticleDOI: 10.1023/A:1019141414842Cite this article as: Zaidel, B.M., Shamai (Shitz), S. & Messer, H. Wireless Networks (1998) 4: 429. doi:10.1023/A:1019141414842 1 Citations 68 Downloads AbstractCurrent implementation of IS-95 based systems is performance limited due to the use of a “conventional” detection scheme, which is susceptive to inter-user interference. 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. We demonstrate the limitations of this relatively simple approach, and the constellations in which it may show improved performance.This revised version was published online in July 2006 with corrections to the Cover Date.References[1]R. De Gaudenzi, F. Giannetti and M. Luise, Design of a lowcomplexity adaptive interference-rejection detector for DS/SS receivers in CDMA radio networks, IEEE Transactions on Communications, submitted.[2]D. Divsalar and M. Simon, Improved CDMA performance using parallel interference cancellation, JPL Publication 95–21 (October 1995).[3]A. 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. Duel-Hallen, A family of multiuser decision-feedback detectors for asynchronous code-division multiple-access channels, IEEE Transactions on Communications 43(2/3/4) (February/March/April 1995) 421–434.CrossRefGoogle Scholar[5]A. Duel-Hallen, J. Holtzman and Z. Zvonar, Multiuser detection for CDMA systems, IEEE Personal Communications 2(2) (April 1995) 46–58.CrossRefGoogle Scholar[6]EIA/TIA/IS-95 Mobile Station - Base Station Compatibility Standard for Dual-Mode Wideband Spread Spectrum Cellular S