DocumentCode :
2493267
Title :
Effective techniques for blind phase offset estimation in LDPC coded systems
Author :
Imad, Rodrigue ; Houcke, Sebastien ; Ghogho, Mounir
Author_Institution :
Inst. Telecom, Telecom Bretagne, Brest, France
fYear :
2009
fDate :
21-24 June 2009
Firstpage :
638
Lastpage :
642
Abstract :
We consider the problem of carrier phase offset estimation and propose two blind estimation techniques for low-density parity-check (LDPC) coded systems. The first technique is applied to a binary phase shift keying (BPSK) modulation while the second is applied to higher order modulations. These techniques are based on the calculation and minimization of functions of the log-likelihood ratios (LLR) of the syndrome elements obtained according to the parity check matrix of the error correcting code. In the case of a BPSK modulation, the global minimum of the cost function is obtained using the gradient descent method while for higher order modulations, we use the simulated annealing algorithm. Simulation results show that the proposed techniques significantly outperform many phase estimation methods and are very powerful even at low signal-to-noise ratios.
Keywords :
error correction codes; minimisation; parity check codes; phase estimation; phase shift keying; simulated annealing; BPSK modulation; LDPC code; binary phase shift keying modulation; blind phase offset estimation; carrier phase offset estimation; error correcting code; higher order modulations; log likelihood ratios; low-density parity-check code; minimization; simulated annealing; Binary phase shift keying; Cost function; Error correction codes; Modulation coding; Parity check codes; Phase estimation; Phase modulation; Signal to noise ratio; Simulated annealing; Telecommunications;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing Advances in Wireless Communications, 2009. SPAWC '09. IEEE 10th Workshop on
Conference_Location :
Perugia
Print_ISBN :
978-1-4244-3695-8
Electronic_ISBN :
978-1-4244-3696-5
Type :
conf
DOI :
10.1109/SPAWC.2009.5161863
Filename :
5161863
Link To Document :
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