ESTIMATION-DECODING ON LDPC-BASED 2D-BARCODES

被引：0

作者：

Pross, W. ^{[1
]}

Otesteanu, M. ^{[1
]}

Quint, F. ^{[2
]}

机构：

[1] Politeh Univ Timisoara, Fac Elect & Telecommun, Timisoara, Romania

[2] Univ Appl Sci, Fac Elect Engn & Informat Technol, Karlsruhe, Germany

来源：

2011 PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING AND MULTIMEDIA APPLICATIONS (SIGMAP 2011) | 2011年

关键词：

2D-Barcode; LDPC Code; Estimation-Decoding; Hidden-Markov-Model;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In this paper we propose an extension of the Estimation-Decoding algorithm for the decoding of our Data Matrix Code (DMC), which is based on Low-Density-Parity-Check (LDPC) codes and is designed for use in industrial environment. To include possible damages in the channel-model, a Markov-modulated Gaussian channel (MMGC) was chosen to represent everything in between the embossing of a LDPC-based DMC and the camera-based acquisition. The MMGC is based on a Hidden-Markov-Model (HMM) that turns into a two-dimensional model when used in the context of DMCs. The proposed ED2D-algorithm (Estimation-Decoding in two dimensions) is implemented to operate on a 2D-LDPC-Markov factor graph that comprises of a LDPC code's Tanner-graph and a 2D-HMM. For a subsequent comparison between different barcodes in industrial environment, a simulation of typical damages has been implemented. Tests showed a superior decoding behavior of our LDPC-based DMC decoded with the ED2D-decoder over the standard Reed-Solomon-based DMC.

引用

页数：6