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Elliptical shape estimation by nonlinear least-squares method for breast cancer using UWB radar technology

机译:利用UWB雷达技术通过非线性最小二乘法估算乳腺癌的椭圆形

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Ultra wide band (UWB) microwave imaging has been proposed for detecting small malignant breast cancers and expected to detect breast cancers with safety, less-discomfort and accuracy for high resolution of UWB pulse. However, shape estimation for breast cancers has been remained as a challenge. In this paper, we propose an elliptical shape estimation method by nonlinear least-squares method in order to develop a breast cancer shape estimation using UWB radar technology. We define a regression formula of a nonlinear least-squares method for one cancer considering a two-dimensional (2D) space. We confirm that our method could estimate parameters of an elliptical shape under simple environment using 2D Finite Difference Time Domain(FDTD) calculation. We evaluate the performance of our proposed method under additive white Gaussian noise(AWGN) environment using theoretical signal sets. We could get good results of estimation of 5 elliptical parameters.
机译:已经提出了用于检测小恶性乳腺癌的超宽带(UWB)微波成像,并有望以安全,较少的不适感和精度来检测乳腺癌,以实现高分辨率的UWB脉冲。但是,乳腺癌的形状估计仍然是一个挑战。本文提出了一种基于非线性最小二乘法的椭圆形状估计方法,以利用UWB雷达技术开展乳腺癌形状估计。考虑到二维(2D)空间,我们为一种癌症定义了非线性最小二乘法的回归公式。我们证实了我们的方法可以使用2D有限时域(FDTD)计算在简单环境下估计椭圆形状的参数。我们使用理论信号集评估了我们提出的方法在加性高斯白噪声(AWGN)环境下的性能。我们可以获得5个椭圆参数估计的良好结果。

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