Özet
Classical blind channel equalization methods may not be suitable for systems with nonlinear modulation (e.g., continous phasemodulated signals) because the input to the channel may not be i.i.d. due to the modulator's memory. Moreover, the nonlinear characteristics of the modulator further complicate the channel estimation task. In this correspondence, we derive blind maximum likelihood channel estimation algorithms for nonlinearly modulated signals using a hidden Markov model (HMM) formulation. The proposed method implements a stochastic maximum likelihood approach and is well suited for short data records appearing in TDMA systems. Cramér-Rao bounds are derived, and some illustrative simulations are presented.
| Orijinal dil | İngilizce |
|---|---|
| Sayfa (başlangıç-bitiş) | 583-586 |
| Sayfa sayısı | 4 |
| Dergi | IEEE Transactions on Signal Processing |
| Hacim | 47 |
| Basın numarası | 2 |
| DOI'lar | |
| Yayın durumu | Yayınlandı - 1999 |
| Harici olarak yayınlandı | Evet |
Finansman
Manuscript received March 31, 1997; revised July 30, 1998. This work was supported by the National Science Foundation under Grants NCR-9706658 and CCR-9733048 and the Army Research Office under Grant DAAG55-98-1.0224. The associate editor coordinating the review of this paper and approving it for publication was Prof. Barry D. Van Veen.
| Finansörler | Finansör numarası |
|---|---|
| National Science Foundation | CCR-9733048, NCR-9706658 |
| Army Research Office | DAAG55-98-1.0224 |
Parmak izi
Blind receivers for nonlinearly modulated signals in multipath' araştırma başlıklarına git. Birlikte benzersiz bir parmak izi oluştururlar.Alıntı Yap
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