LOCATING THE BURIED OBJECT USING UWB SYSTEM WITH HILBERT TRANSFORM AND THE LEAST SQUARE CURVE FITTING ALGORITHM

Abstract

This paper proposes a new method to improve the accuracy of locating buried object using Hilbert transform combined with the least square curve fitting algorithm (LSCF) in impulse radio ultra wide-band (IR-UWB) system. In buried object locating methods, the UWB pulse is considered as an ideal candidate in a short-range with high spatial resolution. Howerver, the power of UWB signals rapidly reduce while traveling in propagation medium, hence detecting reflected UWB pulses are difficult. The Hilbert transform is applied to the correlation function to enhance the detection of reflected UWB pulses, and to increase the accuracy in determining the propagation time and to locate the buried object more accurate when combined with the LSCF method. The analytical expression is validated by Matlab simulation and the locating errors used to assess the performance of systems. The numerical results indicate that the proposed method has higher accuracy than the conventional ones.