A Wall Parameter Estimation Method for Through-Wall Imaging Radar

Abstract

The invention discloses a wall parameter estimation method of a through-wall imaging radar. The wall parameter estimation method includes steps of (1) estimating the variation range of the relative dielectric constant and the thickness of the wall, and selecting the minimum value as initial parameter value; (2) calculating the distance between the radar and the wall, and setting an imaging area behind the wall; (3) compensating the effect of the wall in imaging by parameters obtained in the step (1) to obtain aperture range data; (4) calculating GCF value of each imaging point along the aperture range data; (5) searching the maximum value of the GCF values of all imaging points as a target GCF value; (6) sequentially increasing the relative dielectric constant and the thickness of the wall sequentially and repeating the above steps to obtain a target GCF value for each pair of wall parameters; (7) searching the maximum value in all the target GCF values and using the corresponding wall parameters as estimation results. The wall parameter estimation method has the advantages that wall parameters are accurately estimated, the effects of the wall in the through-wall imaging can be effectively compensated, and focusing effect of target imaging is improved.

Description

technical field [0001] The invention mainly relates to the technical field of concealed target detection, in particular to a wall parameter estimation method suitable for the field of concealed target detection through walls. Background technique [0002] Through-Wall Imaging Radar (TWIR) is an effective method for detecting hidden targets behind walls, and has been widely used in anti-terrorism, rescue and other fields. TWIR emits electromagnetic waves of a specific frequency band, penetrates non-metallic obstacles such as walls, and images hidden targets. The existence of the wall will cause the defocus of the target image, cause the deviation of the target position, lead to the deviation of target positioning, and finally affect the system performance of the through-wall imaging radar. In practical applications, it is often difficult for operators to obtain parameters such as wall thickness and relative permittivity. Therefore, TWIR needs to automatically estimate the u...

AI Technical Summary

Problems solved by technology

These refocusing wall parameter estimation methods all assume that the target is a point target, and the estimation accuracy of wall parameters will be reduced when dealing with extended targets.

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