shanchen

针对多径效应的影响，提出了一种基于矩阵束的MIMO 雷达低仰角快速估计方法。该方法同时考虑了发射多径信号和接收多径信号，采用单样本数信号矢量构造了一个前后向矩阵束，并利用两个酉矩阵对该矩阵束进行降维处理，最后采用广义特征值分解的总体最小二乘法来估计目标角度。算法不需要估计数据协方差矩阵，可在低 信噪比和单样本数情况下，有效地克服多径效应，实现同时多目标低仰角估计，相比最大似然算法，避免了谱峰搜索，计算量小。仿真结果验证了该算法的有效性。(To overcome the multipath effect, a fast algorithm for low elevation estimation for MIMO radar via matrix pencil is proposed. The signals both in transmit multipath and receive multipath are considered. Firstly, a forward-backward matrix pencil is formed based on the single-sampled vector. Secondly, the reduced-dimensional processing is applied to the matrix pencil via two unitary matrices. Finally, the generalized eigen-decomposition is employed to estimate the low elevation in multipath environments directly. Without the covariance matrix estimation, the proposed method can overcome multipath effect effectively in case of low SNR and estimate multi-target simultaneously. Compared with Maximum Likelihood (ML) method, it avoids spectrum peak searching and reduces the computational burden. Numerical results verify the effectiveness of this method)

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说明：  分数阶傅里叶变换计算方面的文章，另附程序清单(Fractional Fourier transform calculation of the article, followed the list of procedures)

利用Mie散射原理计算多层介质球的散射特性(Principles calculation using Mei scattering scattering properties of multilayer dielectric sphere)

牛顿插值算法，利用数组存储均差表，一步步迭代求得插值(Newton interpolation algorithm, the use of array stores are differential gauge, step by step, iterative get interpolation )

用三元组表为结构，实现稀疏矩阵的加法并输出。(Achieve sparse matrix addition)

并联机构 正反解 六自由度并联机构空间运动结算 实例分析(DOF parallel mechanism inverse solution space motion parallel mechanism settled case analysis)

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根据极限状态方程，计算结构的可靠度和敏感度程序(According to limit state equation, the calculation of structural reliability and sensitivity procedures)