Modern spectrum estimation method and its application effects
Liu Zhi-gang1, Li Lu-ming2, Zhao Dong-mei3
1. Geophysical Research Institute,BGP,Zhuozhou,Hebei Province,072751,China;
2. Geophysical Department,Chengdu University of Technology,Chengdu,Sichuan Province,610059 China;
3. Software Research Center,BGP,Zhuozhou,Hebei Province,072751 China
Abstract：Regarding the problem in Burg spectrum estimation method the improved Burg spectrum estimation method and improved covariance spectrum estimation method were discussed in this paper, by taking theoretical signal as testing object, the application effects for different spectrum estimation methods were compared, the conclusions are as follow: (1)The resolution for Burg spectrum estimation method is much higher than Welch spectrum estimation method, but the former caused obvious peak migration, while the improved Burg spectrum estimation method hardly generated peak migration, (2)Both improved covariance spectrum estimation method and Burg spectrum estimation method have high resolution, the peak of the former is more obvious and sharper, while for short data and signals with small frequency difference the former has better resolution effects, and it also can restrain spectral line splitting and avoid false spectrum peak. (3)The reflection coefficient estimated from Itakura algorithm is larger than or equal to that from Burg spectrum estimation method, the receiving signal for Itakura algorithm is much similar to real signal, as a result the Itakura algorithm can replace Burg spectrum estimation method. The de-noising results for real seismic sections show that the signal-noise separation technique which are based on high resolution spectrum estimation methods have a excellent de-noise effects.
