Recently most researches in the field of delay estimation mcthods are concentrated on adaptive deconvolution. But It's well known that minimum delay resolution using deconvolution methods is the sampling interval ...Recently most researches in the field of delay estimation mcthods are concentrated on adaptive deconvolution. But It's well known that minimum delay resolution using deconvolution methods is the sampling interval of the original data. It is impossible to obtain cnough delay resolution in the case of short data records. In this paper, the limitation of the commonly used delay estimation methods are pointed out firstly. Then, two delay estimation methods with high resolution are presented, which are named delay- frequency estimation and eigenstructure methods. It's indicated that these two methods can resolve delays spaced closer than sampling interval. The principle and characteristics of them are described in detail, and the corresponding simulation results are given. At the last, a comparison table is listed to show the performance of main methods in delay estimation.展开更多
文摘Recently most researches in the field of delay estimation mcthods are concentrated on adaptive deconvolution. But It's well known that minimum delay resolution using deconvolution methods is the sampling interval of the original data. It is impossible to obtain cnough delay resolution in the case of short data records. In this paper, the limitation of the commonly used delay estimation methods are pointed out firstly. Then, two delay estimation methods with high resolution are presented, which are named delay- frequency estimation and eigenstructure methods. It's indicated that these two methods can resolve delays spaced closer than sampling interval. The principle and characteristics of them are described in detail, and the corresponding simulation results are given. At the last, a comparison table is listed to show the performance of main methods in delay estimation.
