TOA Analysis Based on Energy for 60 GHz Signals
نویسندگان
چکیده
In the field of sensor networks, impulse radio 60 GHz signals are even much more practical for accurate localization which is low cost, low complexity with high time and multipath resolution. Typically, accurate Time of Arrival (TOA) estimation is very important for localization. In order to improve precision of TOA estimation, a new TOA estimation algorithm based on energy detector (ED) is proposed which is based on a joint metric of skewness, standard deviation and kurtosis after ED. The best threshold based on signal-to-noise ratio (SNR) is investigated and effects of integration period and channel model are examined. Simulation results are presented which show for IEEE802.15.3c channel models CM1.1 and CM2.1, the proposed algorithm provides better precision and robustness in both high and low SNR environments than other ED-based algorithms.
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Threshold Selection for 60 GHz TOA Estimation Based on Skewness and Kurtosis Analysis
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