000			03150nam a22004815i 4500
001			978-3-319-04984-7
003			DE-He213
005			20200420220227.0
007			cr nn 008mamaa
008			140313s2014 gw | s |||| 0|eng d
020			_a9783319049847 _9978-3-319-04984-7
024	7		_a10.1007/978-3-319-04984-7 _2doi
050		4	_aTK1-9971
072		7	_aTJK _2bicssc
072		7	_aTEC041000 _2bisacsh
082	0	4	_a621.382 _223
100	1		_aBai, Lin. _eauthor.
245	1	0	_aLow Complexity MIMO Receivers _h[electronic resource] / _cby Lin Bai, Jinho Choi, Quan Yu.
264		1	_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2014.
300			_aXXVI, 296 p. 59 illus. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
505	0		_aIntroduction -- Signal 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.
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.
650		0	_aEngineering.
650		0	_aComputer organization.
650		0	_aElectrical engineering.
650	1	4	_aEngineering.
650	2	4	_aCommunications Engineering, Networks.
650	2	4	_aComputer Systems Organization and Communication Networks.
650	2	4	_aSignal, Image and Speech Processing.
700	1		_aChoi, Jinho. _eauthor.
700	1		_aYu, Quan. _eauthor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9783319049830
856	4	0	_uhttp://dx.doi.org/10.1007/978-3-319-04984-7
912			_aZDB-2-ENG
942			_cEBK
999			_c52279 _d52279