Structural risk minimization for robust blind identification of sparse SIMO channels

Dongho Han, Jose C. Principe, Liuqing Yang, Ignacio Santamaría, Javier Vía

Research output: Contribution to conferencePaper

1 Scopus citations

Abstract

In this paper the structural risk minimization (SRM) principle is applied to derive an iterative algorithm for blind identification of sparse single-input multiple-output (SIMO) channels. The key idea consists of reformulating this problem as a support vector regression (SVR) problem in which the channel coefficients are the Lagrange multipliers of the dual problem. By employing the Vapnik's ε-insensitivity loss function, the solution can be expanded in terms of a reduced number of Lagrange multipliers (i.e., the nonzero filter coefficients) and then a sparse solution is found. This method can be also used for non-sparse channels when the channel order has been highly overestimated. In this situation, the SRM principle pushes zero to the small leading and trailing terms of the impulse response. Some simulation results are provided to demonstrate the performance of the method.

Original languageEnglish (US)
Pages806-810
Number of pages5
DOIs
StatePublished - 2005
Externally publishedYes
Event2005 IEEE 6th Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2005 - New York, NY, United States
Duration: Jun 5 2005Jun 8 2005

Other

Other2005 IEEE 6th Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2005
CountryUnited States
CityNew York, NY
Period6/5/056/8/05

Fingerprint Dive into the research topics of 'Structural risk minimization for robust blind identification of sparse SIMO channels'. Together they form a unique fingerprint.

  • Cite this

    Han, D., Principe, J. C., Yang, L., Santamaría, I., & Vía, J. (2005). Structural risk minimization for robust blind identification of sparse SIMO channels. 806-810. Paper presented at 2005 IEEE 6th Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2005, New York, NY, United States. https://doi.org/10.1109/SPAWC.2005.1506251