No abstract

Ultra-wide band (UWB) pulse radar with high range resolution and dielectric permeability is promising as an internal imaging technique for non-destructive testing or breast cancer detection. Various imaging algorithms for UWB radar techniques have been proposed, such as aperture synthesis and the space-time beamforming algorithm. However, these algorithms are based on a signal focusing scheme, which often suffers from insufficient resolution to identify the detailed structure of buried targets and has high computational cost in obtaining a full three-dimensional image. To overcome these difficulties, this paper proposes an accurate fast imaging algorithm for targets buried in a uniform dielectric medium by advancing the RPM(Range Points Migration) algorithm, which has been shown to achieve super-resolution imaging for spatial measurement. Numerical simulation shows that the proposed algorithm achieves imaging accuracy of around 1/20 λ with less computation time by specifying boundary extraction.

Ultra-wide band (UWB) pulse radar has high range-resolution, which is applicable to an imaging sensor for household robot or security system. As the past existing works for UWB radar, the SAR (synthetic aperture radar) or RPM (range points migration) method have been already proposed. To enhance the imaging region especially for complexshaped or multiple objects, the shadow region imaging algorithm based on aperture synthesis for a multiple scattered signal has been proposed. However, this algorithm has a difficulty for real-time processing because it requires large calculation amount due to multiple integration. To resolve this difficulty, this paper proposes high-speed and accurate algorithm for shadow region imaging by combining the former RPM algorithm. The results of the numerical simulation show that the proposed method remarkably decreases the calculation time about 94 times compared to the conventional method, where the accuracy is hold.