Title : 
A joint time-frequency domain algorithm for carrier frequency estimation
         
        
            Author : 
Jinhua Sun ; Yujie Ding ; Xiaojun Wu
         
        
            Author_Institution : 
State Key Lab. of Integrated Service Networks, Xidian Univ., Xi´an, China
         
        
        
        
        
        
            Abstract : 
To solve the problem that both the estimation range and estimation accuracy cannot be satisfied at the limited pilot overhead for data-aided carrier synchronization in burst signals, a new joint time-frequency carrier frequency offset estimation algorithm is proposed. The basic idea of the algorithm is combining the advantages of wide estimation range of frequency-domain estimation algorithms and high estimation accuracy of time-domain estimation algorithms. Firstly, the coarse frequency offset is estimated by frequency-domain periodogram peak, then the remaining frequency offset is estimated by the summation of the entire time cross correlation. System parameters design needs trade-off between the error performance requirement and system complexity. Simulation results show that the algorithm has high estimation accuracy within the estimated range of 50% of the symbol rate, and it has low complexity which is suitable for short burst communication systems.
         
        
            Keywords : 
channel estimation; correlation methods; radiocommunication; synchronisation; burst signals; carrier frequency estimation; coarse frequency offset; data aided carrier synchronization; estimation accuracy; estimation range; frequency-domain periodogram peak; joint time-frequency carrier frequency offset estimation algorithm; joint time-frequency domain algorithm; short burst communication systems; time-domain estimation algorithms; Accuracy; Algorithm design and analysis; Bit error rate; Estimation; Frequency estimation; Time-domain analysis; Time-frequency analysis; data-aided; frequency offset estimation; joint time-frequency; short burst communication;
         
        
        
        
            Conference_Titel : 
Signal Processing, Communications and Computing (ICSPCC), 2014 IEEE International Conference on
         
        
            Conference_Location : 
Guilin
         
        
            Print_ISBN : 
978-1-4799-5272-4
         
        
        
            DOI : 
10.1109/ICSPCC.2014.6986203