Title :
A Decision-Aided Carrier Recovery Method with the New Low Complexity MMSE Algorithm
Author :
Chang, Dah-Chung ; Lin, Wei-Tsen
Author_Institution :
Dept. of Commun. Eng., Nat. Central Univ., Jhongli
Abstract :
A new adaptive carrier synchronization applying the extended Kalman filtering algorithm is proposed. The state model in the new algorithm uses only phase rather than both phase and frequency in the conventional method. The frequency is used as an input term to the state equation and estimated by a phase error detector. A reduced observation model is also considered to reduce complexity by only calculating scalar instead of matrix in the Kalman recursions. The simulations show that the one-state Kalman algorithm has better performance and lower complexity than the two-state Kalman algorithm. The proposed algorithm is applied to the cable modem downstream system to demonstrate its effectiveness
Keywords :
Kalman filters; channel estimation; least mean squares methods; synchronisation; Kalman algorithm; Kalman recursions; MMSE algorithm; adaptive carrier synchronization; cable modem downstream system; decision-aided carrier recovery method; extended Kalman filtering algorithm; phase error detector; state equation; Equations; Filtering algorithms; Frequency estimation; Frequency synchronization; Kalman filters; Modems; Phase detection; Phase estimation; Phase frequency detector; State estimation;
Conference_Titel :
Electro/information Technology, 2006 IEEE International Conference on
Conference_Location :
East Lansing, MI
Print_ISBN :
0-7803-9592-1
Electronic_ISBN :
0-7803-9593-X
DOI :
10.1109/EIT.2006.252161