DocumentCode :
2174361
Title :
Frequency offset estimation with improved convergence time and energy consumption
Author :
Ammer, M. Josie ; Rabaey, Jan
Author_Institution :
California Univ., Berkeley, CA, USA
fYear :
2004
fDate :
30 Aug.-2 Sept. 2004
Firstpage :
596
Lastpage :
600
Abstract :
An approach to simultaneously improve the energy consumption and convergence time (given the input SNR and required estimation variance) of feedforward data-aided frequency estimation is presented. Four well-known frequency estimation algorithms are compared using actual ASIC hardware implementations to verify the results. It is demonstrated how a modification to the algorithms can simultaneously achieve lower energy consumption and improved convergence time. For example, for an input SNR of 12 dB and required estimation variance of 2×10-5, convergence time is decreased by a factor of 4 while decreasing the energy consumption by a factor of 4.3. Directions on how to apply these algorithms to spread spectrum systems are provided.
Keywords :
application specific integrated circuits; convergence of numerical methods; feedforward; frequency estimation; power consumption; spread spectrum communication; ASIC hardware implementations; convergence time; energy consumption; feedforward data-aided frequency estimation; frequency offset estimation; spread spectrum systems; Application specific integrated circuits; Convergence; Energy consumption; Feedforward systems; Frequency estimation; Frequency synchronization; Hardware; Phase locked loops; Spread spectrum communication; Wireless communication;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Spread Spectrum Techniques and Applications, 2004 IEEE Eighth International Symposium on
Print_ISBN :
0-7803-8408-3
Type :
conf
DOI :
10.1109/ISSSTA.2004.1371770
Filename :
1371770
Link To Document :
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