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COVARIANCE MATRIX ESTIMATION METHOD FOR REDUCING NONSTATIONARY CLUTTER AND HETEROGENEITY CLUTTER

机译:减少非平稳杂波和非均质杂波的协方差矩阵估计方法

摘要

The present invention relates to a covariance matrix estimation method for a radar system, capable of improving the target detection performance by efficiently removing a nonstationary clutter and a heterogeneous clutter in a radar receiving signal. The covariance matrix estimation method includes: a step of calculating a first covariance matrix by using operation information of a transmitter and a receiver corresponding to a test cell of the receiving signal; a step of estimating a second covariance matrix from small amounts of secondary data except for the test cell in the receiving signal; a step of obtaining a final covariance matrix including both a nonstationary clutter element and a heterogeneous clutter element by multiplying a weighted value to each of the first covariance matrix and the second covariance matrix and composing the same; and a step of removing the nonstationary clutter element and the heterogeneous clutter element by applying a filter to the final covariance matrix.
机译:雷达系统的协方差矩阵估计方法技术领域本发明涉及一种雷达系统的协方差矩阵估计方法,其能够通过有效地去除雷达接收信号中的非平稳杂波和非均匀杂波来提高目标检测性能。该协方差矩阵估计方法包括:通过使用与接收信号的测试小区相对应的发射机和接收机的操作信息来计算第一协方差矩阵的步骤;从接收信号中除测试单元以外的少量辅助数据中估计第二协方差矩阵的步骤;通过将加权值乘以第一协方差矩阵和第二协方差矩阵中的每一个,获得包括非平稳杂波元素和异构杂波元素的最终协方差矩阵的步骤;通过将滤波器应用于最终协方差矩阵来去除非平稳杂波元素和非均匀杂波元素的步骤。

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