Square contour algorithm for blind equalization of QAM signals
A new algorithm for blind equalization is introduced. The square contour algorithm (SCA) minimizes dispersion of equalizer output from a square. The SCA combines the advantages of the generalized Sato algorithm (GSA) and the constant modulus algorithm (CMA). It includes phase recovery and offers goo...
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| Main Authors: | , , |
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| 格式: | Article |
| 語言: | English |
| 出版: |
2014
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| 在線閱讀: | http://www.scopus.com/inward/record.url?eid=2-s2.0-33748297732&partnerID=40&md5=110f8c49343a984da0d474a5f9a91bf9 http://cmuir.cmu.ac.th/handle/6653943832/1302 |
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| 總結: | A new algorithm for blind equalization is introduced. The square contour algorithm (SCA) minimizes dispersion of equalizer output from a square. The SCA combines the advantages of the generalized Sato algorithm (GSA) and the constant modulus algorithm (CMA). It includes phase recovery and offers good convergence characteristics. By adding a constellation-matched error (CME) term to the cost function of the SCA, a modified SCA (MSCA) is obtained. The MSCA improves equalizer convergence performance. Simulations and analysis demonstrate the good performance of the proposed algorithms. © 2006 Elsevier B.V. All rights reserved. |
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