資源簡介
格基約減LLL算法是MIMO信號檢測中常用算法,因其改善信道矩陣的條件數而使得信道有所改善,聯合線性及非線性算法,可以取得很好的檢測性能
代碼片段和文件信息
function[BQRT]?=?LLL(Adelta)
%?==============================================================================
%?Function:??LLL?reduction?of?complex?valued?input?matrix?A?with?LLL?
%????????????parameter?delta
%
%?Interface:?[BQRT]?=?LLL(Adelta)
%
%?Input:?????A?????:?input?basis
%????????????delta?:?LLL?reduction?parameter
%
%?Output:????B?:?LLL-reduced?basis?B?=?A*T?with?QR?decomposition?B=Q*R
%????????????Q?:?matrix?with?orthogonal?columns?of?length?one
%????????????R?:?upper?triangular?matrix
%????????????T?:?unimodular?transformation?matrix
%
%?Sources:???D.?Wuebben?R.?Boehnke?V.?Kuehn?and?K.-D.?Kammeyer:
%????????????MMSE-based?Lattice-Reduction?for?Near-ML?Detection?of?MIMO?Systems
%????????????International?ITG/IEEE?Workshop?on?Smart?Antennas?(WSA?2004)?
%????????????Munich?Germany?March?2004
%
%????????????D?Wuebben?D.?Seethaler?J.?Jald巈n?and?G.?Matz:
%????????????Lattice?Reduction?-?A?Survey?with?Applications?in
%????????????Wireless?Communications
%????????????IEEE?Signal?Processing?Magazine?March?2011
%
%?==============================================================================
%?Author:????Dirk?Wuebben?(University?of?Bremen?Bremen?Germany)
%?EMail:?????wuebben@ant.uni-bremen.de
%?www:???????www.ant.uni-bremen.de/staff/wuebben
%?==============================================================================
%?Input?data
%?-------------------------------------------------------------------
if?nargin?<2???????????????????????????%?delta?not?specified
???fprintf(‘\nLLL?parameter?delta?not?specified!‘);
???fprintf(‘\nDefault?value?delta?=?3/4?is?used.\n‘);
???delta?=?3/4;
elseif?delta?>?1?|?delta?0.25????????%?invalid?value?for?delta
???fprintf(‘\nInvalid?input?value?for?LLL?prameter?delta!‘);
???f
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