Blind Equalization Based on Proximal Alternating Optimization 


Vol. 48,  No. 12, pp. 1581-1584, Dec.  2023
10.7840/kics.2023.48.12.1581


PDF
  Abstract

In this letter, we consider a joint channel estimation and signal detection algorithm for blind equalization in short-packet communications. We divide the non-convex blind equalization problem into two sub-problems and propose a channel estimation and signal detection algorithm based on the proximal alternating optimization. Experimental results show that the proposed algorithm provides the bit error rate (BER) performance improvement over existing methods.

  Statistics
Cumulative Counts from November, 2022
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.


  Related Articles
  Cite this article

[IEEE Style]

W. Kang, M. Kim, D. Park, "Blind Equalization Based on Proximal Alternating Optimization," The Journal of Korean Institute of Communications and Information Sciences, vol. 48, no. 12, pp. 1581-1584, 2023. DOI: 10.7840/kics.2023.48.12.1581.

[ACM Style]

Wonseok Kang, Minsik Kim, and Daeyoung Park. 2023. Blind Equalization Based on Proximal Alternating Optimization. The Journal of Korean Institute of Communications and Information Sciences, 48, 12, (2023), 1581-1584. DOI: 10.7840/kics.2023.48.12.1581.

[KICS Style]

Wonseok Kang, Minsik Kim, Daeyoung Park, "Blind Equalization Based on Proximal Alternating Optimization," The Journal of Korean Institute of Communications and Information Sciences, vol. 48, no. 12, pp. 1581-1584, 12. 2023. (https://doi.org/10.7840/kics.2023.48.12.1581)
Vol. 48, No. 12 Index

Search
(IN TITLE, AUTHOR, ABSTRACT,KEYWORDS)

Advanced Search ▼

POPULAR KEYWORDS
(TOP 10 KEYWORDS)

Recent Publications
(LAST 3 YEARS)






pISSN : 1226 - 4717
eISSN : 2287 - 3880