An Analytical Multimodulus Algorithm for Blind Demodulation in a Time-Varying MIMO Channel Context
This paper addresses the issue of blind multiple-input multiple-output (MIMO) demodulation of communication signals, with time-varying channels and in an interception context. A new adaptive-blind source separation algorithm, which is based on the implementation of the Multimodulus cost function by...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2010-01-01
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| Series: | International Journal of Digital Multimedia Broadcasting |
| Online Access: | http://dx.doi.org/10.1155/2010/307927 |
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| Summary: | This paper addresses the issue of blind multiple-input multiple-output (MIMO) demodulation
of communication signals, with time-varying channels and in an interception
context. A new adaptive-blind source separation algorithm, which is based on the implementation
of the Multimodulus cost function by analytical methods, is proposed. First a
batch processing analysis is performed; then an adaptive implementation of the
(Analytical Multi-Modulus Algorithm) AMMA and its simplified version named (Analytical
Simplified Constant Modulus Algorithm) ASCMA is detailed. These algorithms, named
adaptive-AMMA and adaptive-ASCMA, respectively, are compared with the adaptive (Analytical Constant Modulus Algorithm) ACMA and the MMA (Multi-Modulus Algorithm).
The adaptive-AMMA and adaptive-ASCMA achieve a lower residual intersymbol
interference and bit error rate than those of the adaptive-ACMA and MMA. |
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| ISSN: | 1687-7578 1687-7586 |