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000697396 020__ $$a9783319049847 $$qelectronic book
000697396 020__ $$a3319049844 $$qelectronic book
000697396 020__ $$z9783319049830
000697396 0247_ $$a10.1007/978-3-319-04984-7$$2doi
000697396 035__ $$aSP(OCoLC)ocn874923199
000697396 035__ $$aSP(OCoLC)874923199
000697396 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dN$T$$dYDXCP$$dCOO
000697396 049__ $$aISEA
000697396 050_4 $$aTK5103.4836
000697396 08204 $$a621.382$$223
000697396 1001_ $$aBai, Lin$$c(Associate professor),$$eauthor.
000697396 24510 $$aLow complexity MIMO receivers$$h[electronic resource]  /$$cLin Bai, Jinho Choi, Quan Yu.
000697396 264_1 $$aCham :$$bSpringer,$$c2014.
000697396 300__ $$a1 online resource (xxvi, 296 pages) :$$billustrations
000697396 336__ $$atext$$btxt$$2rdacontent
000697396 337__ $$acomputer$$bc$$2rdamedia
000697396 338__ $$aonline resource$$bcr$$2rdacarrier
000697396 504__ $$aIncludes bibliographical references and index.
000697396 5050_ $$aSignal Processing at Receivers: Detection Theory -- MIMO Detection: Vector Space Signal Detection -- Successive Interference Cancellation Based MIMO Detection -- Lattice Reduction Based MIMO Detection -- MIMO Iterative Receivers -- Bit-Wise MIMO-BICM-ID using Lattice Reduction -- Randomized Sampling-based MIMO Iterative Receivers -- Iterative Channel Estimation and Detection -- Multiuser and Multicell MIMO Systems: The Use of Lattice Reduction.
000697396 506__ $$aAccess limited to authorized users.
000697396 520__ $$aMultiple-input multiple-output (MIMO) systems can increase the spectral efficiency in wireless communications. However, the interference becomes the major drawback that leads to high computational complexity at both transmitter and receiver. In particular, the complexity of MIMO receivers can be prohibitively high. As an efficient mathematical tool to devise low complexity approaches that mitigate the interference in MIMO systems, lattice reduction (LR) has been widely studied and employed over the last decade. The co-authors of this book are world's leading experts on MIMO receivers, and here they share the key findings of their research over years. They detail a range of key techniques for receiver design as multiple transmitted and received signals are available. The authors first introduce the principle of signal detection and the LR in mathematical aspects. They then move on to discuss the use of LR in low complexity MIMO receiver design with respect to different aspects, including uncoded MIMO detection, MIMO iterative receivers, receivers in multiuser scenarios, and multicell MIMO systems.
000697396 588__ $$aDescription based on online resource; title from PDF title page (SpringerLink, viewed March 17, 2014).
000697396 588__ $$aDescription based on print version record.
000697396 650_0 $$aMIMO systems.
000697396 7001_ $$aChoi, Jinho,$$eauthor.
000697396 7001_ $$aYu, Quan,$$eauthor.
000697396 85280 $$bebk$$hSpringerLink
000697396 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://dx.doi.org/10.1007/978-3-319-04984-7$$zOnline Access
000697396 909CO $$ooai:library.usi.edu:697396$$pGLOBAL_SET
000697396 980__ $$aEBOOK
000697396 980__ $$aBIB
000697396 982__ $$aEbook
000697396 983__ $$aOnline
000697396 994__ $$a92$$bISE