Özet
In order to meet future communication system requirements, channel estimation over fast fading and frequency selective channels is crucial. In this paper, Space Alternated Generalized Expectation Maximization Maximum a Posteriori (SAGE-MAP) based channel estimation algorithm is proposed for Orthogonal Frequency Division Multiplexing (OFDM) systems for Autoregressive (AR) modeled time-varying sparse channels. Also, an initialization algorithm has been developed from the widely used sparse approximation algorithm Orthogonal Matching Pursuit (OMP), since the performance of SAGE algorithm strictly depends on initialization. The results show that multipath delay positions can be tracked successfully for every time instant using the proposed SAGE-MAP based approach.
Orijinal dil | İngilizce |
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Ana bilgisayar yayını başlığı | ISWCS 2016 - 13th International Symposium on Wireless Communication Systems, Proceedings |
Yayınlayan | VDE Verlag GmbH |
Sayfalar | 424-428 |
Sayfa sayısı | 5 |
ISBN (Elektronik) | 9781509020614 |
DOI'lar | |
Yayın durumu | Yayınlandı - 19 Eki 2016 |
Etkinlik | 13th International Symposium on Wireless Communication Systems, ISWCS 2016 - Poznan, Poland Süre: 20 Eyl 2016 → 23 Eyl 2016 |
Yayın serisi
Adı | Proceedings of the International Symposium on Wireless Communication Systems |
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Hacim | 2016-October |
ISSN (Basılı) | 2154-0217 |
ISSN (Elektronik) | 2154-0225 |
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???event.eventtypes.event.conference??? | 13th International Symposium on Wireless Communication Systems, ISWCS 2016 |
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Ülke/Bölge | Poland |
Şehir | Poznan |
Periyot | 20/09/16 → 23/09/16 |
Bibliyografik not
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