1. An enhanced proportionate NLMF algorithm for group-sparse system identification.
- Author
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Jiang, Zhengxiong, Shi, Wanlu, Huang, Xinqi, and Li, Yingsong
- Subjects
- *
SYSTEM identification , *TELECOMMUNICATION satellites , *ADAPTIVE filters , *TELECOMMUNICATION systems , *ALGORITHMS - Abstract
A novel adaptive filtering algorithm is devised and derived for group-sparse system identification. To adequately make use of the group-sparsity in satellite communication and network echo channels, we integrate a mixed-norm constraint into the proportionate normalized least mean fourth (PNLMF) algorithm, which is referred as mixed-norm constrained PNLMF (MNC-PNLMF) algorithm. The MNC-PNLMF algorithm is derived and analyzed in detail. Serval experimental experiments are constructed to validate the effectiveness of the MNC-PNLMF. The experimental results demonstrate that the MNC-PNLMF outperforms the NLMF, PNLMF, zero-attraction NLMF (ZA-NLMF), and reweighted ZA-NLMF (RZA-NLMF) for group-sparse system identification. [ABSTRACT FROM AUTHOR]
- Published
- 2020
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