• KSII Transactions on Internet and Information Systems
    Monthly Online Journal (eISSN: 1976-7277)

Reduced-state MLSD based on Volterra Kernels for Square-law Detected Multipath

Vol. 5, No.12, December 31, 2011
10.3837/tiis.2011.12.003, Download Paper (Free):

Abstract

We propose a novel reduced-state maximum-likelihood sequence detection (MLSD) structure using the Viterbi algorithm based on the second-order Volterra kernel modeling nonlinear distortion due to square law detection of multipath channels commonly occurring in chromatic dispersion (CD) or polarization mode dispersion (PMD) in optical communication systems. While all existing MLSD methods for square-law detection receivers are based on direct computation of branch metrics, the proposed algorithm provides an efficient and structured way to implement reduced-state MLSD with almost the same complexity of a MLSD for linear channels. As a result, the proposed algorithm reduces the number of parameters to be estimated and the complexity of computation.


Statistics

Show / Hide Statistics

Statistics (Cumulative Counts from December 1st, 2015)
Multiple requests among the same browser session are counted as one view.
If you mouse over a chart, the values of data points will be shown.


Cite this article

[IEEE Style]
Youngsun Ha and Wonzoo Chung, "Reduced-state MLSD based on Volterra Kernels for Square-law Detected Multipath," KSII Transactions on Internet and Information Systems, vol. 5, no. 12, pp. 2315-2325, 2011. DOI: 10.3837/tiis.2011.12.003

[ACM Style]
Ha, Y. and Chung, W. 2011. Reduced-state MLSD based on Volterra Kernels for Square-law Detected Multipath. KSII Transactions on Internet and Information Systems, 5, 12, (2011), 2315-2325. DOI: 10.3837/tiis.2011.12.003