- Tytuł:
- Blind Estimation of Linear and Nonlinear Sparse Channels
- Autorzy:
- Georgoulakis, K.
- Powiązania:
- https://bibliotekanauki.pl/articles/307846.pdf
- Data publikacji:
- 2013
- Wydawca:
- Instytut Łączności - Państwowy Instytut Badawczy
- Tematy:
-
blind estimation and equalization
clustering techniques
sparse zero pad channels - Opis:
- This paper presents a Clustering Based Blind Channel Estimator for a special case of sparse channels - the zero pad channels. The proposed algorithm uses an unsupervised clustering technique for the estimation of data clusters. Clusters labelling is performed by a Hidden Markov Model of the observation sequence appropriately modified to exploit channel sparsity. The algorithm achieves a substantial complexity reduction compared to the fully evaluated technique. The proposed algorithm is used in conjunction with a Parallel Trellis Viterbi Algorithm for data detection and simulation results show that the overall scheme exhibits the reduced complexity benefits without performance reduction.
- Źródło:
-
Journal of Telecommunications and Information Technology; 2013, 1; 65-71
1509-4553
1899-8852 - Pojawia się w:
- Journal of Telecommunications and Information Technology
- Dostawca treści:
- Biblioteka Nauki
Artykuł