Blind detection in VWDK systems via sequential Monte Carlo

被引：0

作者：

Feng, M ^{[1
]}

Wu, LN ^{[1
]}

Wei, FF ^{[1
]}

机构：

[1] SE Univ, Dept Radio Engn, Nanjing, Peoples R China

来源：

PROCEEDINGS OF THE 2005 INTERNATIONAL CONFERENCE ON NEURAL NETWORKS AND BRAIN, VOLS 1-3 | 2005年

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Recently, a novel ultra narrow-band modulation scheme named Very-minimum Waveform Keying (VWDK) was presented which can result in higher bandwidth efficiency. In this paper, we provide a novel sequential estimation and detection approach for VWDK system. The basic idea is to design a probabilistic approximation method for the computation of the maximum a posterior distribution via Sequential Monte Carlo methods (SMC). The SMC method has two advantages over the other methods in that it is a blind method and can be computed In parallel. Furthermore, the SMC has characteristics of soft-input and soft-output in nature. Finally, the performance of the proposed SMC receiver is demonstrated through computer simulations for the VWDK systems over slow flat-fading channel.

引用

页码：100 / 104

页数：5

共 11 条

[1] A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking [J].