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

机译:UWB雷达技术乳腺癌非线性最小二乘法的椭圆形状估计

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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:已经提出了超宽带(UWB)微波成像用于检测小恶性乳腺癌,并预计以安全,较低的舒适和高分辨率的高分辨率检测乳腺癌,用于高分辨率UWB脉冲。 然而,乳腺癌的形状估计一直是挑战。 在本文中,我们用UWB雷达技术提出了非线性最小二乘法的椭圆形形状估计方法,以开发乳腺癌形状估计。 考虑到二维(2D)空间,我们定义一个癌症的非线性最小二乘法的回归公式。 我们确认我们的方法可以使用2D有限差分时域(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我们提出的方法在添加白色高斯噪声(AWGN)环境下的表现。 我们可以获得估计5个椭圆参数的良好结果。

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