Cyclostationarity-Based Timing Estimation Considering the Frequency Offset
Guo Dao-sheng
Abstract
Guo Dao-sheng
Abstract
Symbol timing delay can be estimated by employing cyclostationarity features of signals. The super performance of estimators is based on large numbers of statistical information. Thus,the observation interval is required to be quite long. However,the performance of estimators become complex when the frequency offset is considered. Due to this problem,the effect of frequency offset and the choice of parameters under this circumstance are studied. Simulation results show that the effect of frequency offset can not be ignored,especially when the observation interval is quite long. In practice,the effect of frequency offset must be considered when choosing the rational parameters.
A significance statement is not available in the OpenAlex record.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
Symbol timing delay can be estimated by employing cyclostationarity features of signals. The super performance of estimators is based on large numbers of statistical information. Thus,the observation interval is required to be quite long. However,the performance of estimators become complex when the frequency offset is considered. Due to this problem,the effect of frequency offset and the choice of parameters under this circumstance are studied. Simulation results show that the effect of frequency offset can not be ignored,especially when the observation interval is quite long. In practice,the effect of frequency offset must be considered when choosing the rational parameters.
Key concepts: Estimator, Frequency offset, Offset (computer science), Computer science, Algorithm, Interval (graph theory), Statistics, Mathematics