Through-wall radar wall parameter estimation method

Abstract

A through-wall radar wall parameter estimation method mainly solves the problem of large deviation of wall parameter estimation results due to poor time delay estimation result accuracy of an existingmethod. The method includes: estimating time delay difference of front surface and rear surface reflected waves of a wall by adopting an orthogonal matching pursuit sparse reconstruction algorithm; constructing a target function from time delay difference estimated values and time delay difference theoretical values of M observation positions; accurately estimating thickness and a relative dielectric constant of the wall through minimization of the target function; accurately estimating electrical conductivity of the wall according to an amplitude ratio of the front surface and rear surface reflected waves of the wall under single-base transceiving conditions. In a wall parameter estimation process, the orthogonal matching pursuit sparse reconstruction algorithm is adopted for estimatingtwo-way transmission time delay difference of the front surface and the rear surface of the wall, resolution and accuracy of time delay difference estimation results under a condition of low signal-to-noise ratio are improved, and accordingly accuracy in wall parameter estimation is guaranteed. The method is especially applicable to thin wall parameter estimation under the condition of condition of low signal-to-noise ratio.

Description

technical field [0001] The present invention relates to the technical field of through-wall radar, in particular to a method for estimating wall parameters of through-wall radar. Parameter estimation of the wall. Background technique [0002] Through-wall radar is a perspective imaging technology that uses the low-frequency penetration characteristics of electromagnetic waves to detect hidden targets behind walls. During the detection process of through-wall radar, if the wall parameters (dielectric constant, electrical conductivity, wall thickness) have been It is known that many imaging algorithms (such as back projection algorithm, etc.) can easily eliminate the position offset effect caused by the wall. However, in practical applications, the wall parameters cannot be known in advance, and the estimation accuracy of the wall parameters will cause problems such as the degradation of imaging quality, the deviation of target position positioning, and the appearance of fals...

AI Technical Summary

Problems solved by technology

[0004] At present, the parameters of the wall can be estimated by measuring the time delay difference of the reflected echoes from the front and rear surfaces of the wall. The existing time delay estimation methods usually use fast Fourier transform and subspace super-resolution methods, but these methods are limited by the wall The thickness of the wall and the signal-to-noise ratio of the measurement data are restricted, and the time-delay estimation results of the reflected echoes from the front and rear surfaces of the wall are less accurate, which leads to a large deviation in the estimation results of the wall parameters.

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