Blind adaptive equalization techniques using the complex multi-layer perceptron

Cheolwoo You, Daesik Hong

Research output: Contribution to conferencePaper

5 Citations (Scopus)

Abstract

Among useful blind equalization algorithms, there are stochastic-gradient iterative equalization algorithms. Because these algorithms basically use a linear FIR filter except to adopt a memoryless nonlinear function of the equalizer output to generate the desired response, only linear channel distortion can be corrected well. To overcome nonlinear channel distortion, in this paper, two new blind equalization schemes using the structure of the complex multi-layer perceptron that can deal with signal of any constellation size are proposed. One is the modification of the constant modulus algorithm (CMA) that is most widely used blind algorithm. The other is the modification of the radius-directed equalization (RDE) algorithm with the multiple constant modulus that is more suitable for the node activation function having the multi-saturated output region. The experimental results show that the proposed schemes have very low MSE in the steady state and at the same time can recover the arbitrary phase rotation due to the channel when major channel distortion is both linear and nonlinear.

Original languageEnglish
Pages1340-1344
Number of pages5
Publication statusPublished - 1996 Dec 1
EventProceedings of the 1996 IEEE Communications Theory Mini-Conference. Part 4 (of 4) - London, UK
Duration: 1996 Nov 181996 Nov 22

Other

OtherProceedings of the 1996 IEEE Communications Theory Mini-Conference. Part 4 (of 4)
CityLondon, UK
Period96/11/1896/11/22

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering
  • Global and Planetary Change

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  • Cite this

    You, C., & Hong, D. (1996). Blind adaptive equalization techniques using the complex multi-layer perceptron. 1340-1344. Paper presented at Proceedings of the 1996 IEEE Communications Theory Mini-Conference. Part 4 (of 4), London, UK, .