Browse > Article

Fixed Decision Delay Detector for Intersymbol Interference Channel  

Taehyun, Jeon (ETRI)
Publication Information
Abstract
A design method is proposed for the sequence detection with fixed decision delay with less hardware complexity using the concept of the Voronoi diagram and its dual, the Delaunay tessellation. This detector design is based on the Fixed Delay Tree Search (FDTS) detection. The FDTS is a computationally efficient sequence detection algerian and has been shown to achieve near-optimal performance in the severe Intersymbol Interference (ISI) channels when combined with decision feedback equalization and the appropriate channel coding. In this approach, utilizing the information contained in the Voronoi diagram or equivalently the Delaunay tessellation, the relative location of the detector input sequence in the multi-dimensional Euclidean space is found without any computational redundancy, which leads to a reduced complexity implementation of the detector.
Keywords
Intersymbol interference; Euclidean distance; Voronoi diagram; decision feedback equalization;
Citations & Related Records
연도 인용수 순위
  • Reference
1 J. Moon and L. R. Carley, 'Efficient sequence detection for intersymbol interference channels with run-length constraints,' IEEE Trans. Communications., vol. 42, no. 9, pp. 2654-2660, Sept. 1994   DOI   ScienceOn
2 D. Avis and B. K. Bhattacharya, 'Algorithm for computing d-dimensional Voronoi diagrams and their duals,' Advances in Computing Research, vol. 1, pp. 159-180, Greenwich, Conn.: JAI press, 1983
3 R. O. Duda and P. E. Hart, Pattern Classification and Scene Analysis, New York: John Willey and Sons, 1981
4 J. G. Kenny and L. R. Carley, 'Geometric representation of the tree-search detector,' in Proc. IEEE ICC, June 1992, pp. 115-119   DOI
5 C. Belfiore and J. Park, 'Decision feedback equalization,' Proc. IEEE, vol. 67, no. 8, pp. 1143-1156, Aug. 1979   DOI   ScienceOn
6 J. W. M. Bergmans, F. M. J. Willems, and G. S. M. Kerpen, 'On the performance of data receivers with a restricted detection delay,' IEEE Trans. Communications, vol. 42, no. 6, pp. 2315-2324, June 1994   DOI   ScienceOn
7 F. Aurenhammer, 'Voronoi diagrams-A survey of a fundamental geometric data structure,' ACM Computing Surveys, vol. 23, no. 3, pp. 345-405   DOI
8 N. K. Bose and A. K. Garga, 'Neural network design using Voronoi diagrams,' IEEE Trans. Neural Networks, vol. 4, no. 5, pp. 778-787, Sept. 1993   DOI   ScienceOn
9 J. G. Proakis, Digital Communications, McGraw -Hill, 1989
10 J. Moon and L. R. Carley, 'Performance comparison of detection methods in magnetic recording,' IEEE Trans. Magn., vol. 26, no. 6, pp. 3155-3172, Nov. 1990   DOI   ScienceOn