Semi-blind equalization using the Constant Modulus Algorithm
The equalization of digital communication channels consists in the recovery of the data symbols transmitted through a distorting medium. In this paper we estimate an input signal given the output and the channel, specifically we simulate a semi-blind equalization schemes, based on the Constant Modul...
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| creator | Homana, Ioana Topa, Marina Dana Kirei, Botond Sandor |
| description | The equalization of digital communication channels consists in the recovery of the data symbols transmitted through a distorting medium. In this paper we estimate an input signal given the output and the channel, specifically we simulate a semi-blind equalization schemes, based on the Constant Modulus Algorithm (CMA) using two adaptive filtering algorithms: the Least Mean Square and the Recursive Least Square Algorithms. The Mean Square Error (MSE) and the Symbol Error Rate (SER) measure the performance. The simulations show that the Recursive Least Square Algorithm based on the Constant Modulus algorithm (RLS-CMA) is better than the other method. |
| doi_str_mv | 10.1109/AQTR.2010.5520748 |
| format | Conference Proceeding |
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| subjects | Adaptive equalizers Blind equalizers Data communication Digital communication Filtering algorithms Filters Least squares approximation Least squares methods Quadrature amplitude modulation Signal processing |
| title | Semi-blind equalization using the Constant Modulus Algorithm |
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