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A New Blind Equalization Method Based on Negentropy Minimization for Constant Modulus Signals
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- Authors
- Soo Yong Choi, Jong-Moon Chung, Wun-Cheol Jeing
- Issue Date
- 2008-04
- Citation
- IEICE Transactions on Communications, v.E91-B, no.4, pp.1207-1210
- ISSN
- 0916-8516
- Publisher
- 일본, 전자정보통신학회 (IEICE)
- Language
- English
- Type
- Journal Article
- Project Code
- 07MD1800, Development of Sensor Tag and Sensor Node Technologies for RFID/USN, Cheol Sig Pyo
- Abstract
- A new blind adaptive equalization method for constant modulus signals based on minimizing the approximate negentropy of the estimation error for a finite-length equalizer is presented. We consider the approximate negentropy using nonpolynomial expansions of the estimation error as a new performance criterion to improve the performance of a linear equalizer using the conventional constant modulus algorithm (CMA). Negentropy includes higher order statistical information and its minimization provides improved convergence, performance, and accuracy compared to traditional methods, such as the CMA, in terms of the bit error rate (BER). Also, the proposed equalizer shows faster convergence characteristics than the CMA equalizer and is more robust to nonlinear distortion than the CMA equalizer. Copyright © 2008 The Institute of Electronics, Information and Communication Engineers.
- KSP Keywords
- Adaptive Equalization, Bit Error Rate(And BER), Blind Equalization, Constant Modulus Algorithm(CMA), Constant modulus signals, Faster convergence, Higher order, Improved convergence, Information and communication, Statistical information, Traditional methods