An iterative signal detection algorithm based on bayesian belief propagation ideas

被引：0
|
作者：
Proudler, I. [1 ]
Roberts, S. [2 ]
Reece, S. [2 ]
Rezek, I. [2 ]
机构：
[1] QinetiQ Ltd, St Andrews Rd, Malvern WR14 2NJ, Worcs, England
[2] Univ Oxford, Dept Engn Sci, Oxford OX1 3PJ, England
来源：
PROCEEDINGS OF THE 2007 15TH INTERNATIONAL CONFERENCE ON DIGITAL SIGNAL PROCESSING | 2007年
关键词：
signal processing; iterative algorithms; Bayesian; belief propagation; pearl's algorithm;
D O I：
10.1109/ICDSP.2007.4288592
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
We investigate the construction of an iterative algorithm for signal detection based oil Pearl's Belief Propagation algorithm. Two main issues arise: the need to modify the graphical model of the problem in order to force the creation of an iterative algorithm, and the need to find suitable approximations to various probability distribution functions so as to allow all efficient implementation of the algorithm. The resulting algorithm is similar to a conventional deflation-based approach but it can make soft rather than hard decisions.
引用
收藏
页码：355 / +
页数：2
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