为提高噪声环境下椭圆类物体形状检测算法的稳定性与准确性，本文提出非线性数据拟合模型结合交叉参考迭代的新思路。

To solve the problem of ellipse - object - shape parameters detection in noise image, a new detection algorithm using nonlinear data fitting model and cross-reference iterative method is proposed.

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根据调频函数模型，提出利用数据拟合的方法设计非线性调频信号。

According to the frequency modulation function mode, this paper proposes to design the nonlinear frequency modulation (NLFM) signal using the data fitting method.

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利用这个数学模型对实验数据进行非线性拟合，拟合的相关系数高于0.99。

The mathematic model was adopted for nonlinear least-squares data fitting to process experimental data, and a high correlation coefficient excelling 0.99 was obtained.

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