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引用次数: 9

摘要

本文主要研究了FMCW雷达对加速目标回波的探测。处理后的信号被建模为一个多项式相位信号,被白色或彩色加性高斯噪声污染。获得的测试,在内曼-皮尔逊意义上是最优的,与早期论文中处理的最大似然估计程序有关。一个例子说明了适当适应噪声统计量的测试的重要性。
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Optimal detection and estimation in FMCW radar
The paper is mainly concerned with detection of an accelerating target echo by FMCW radar. The processed signal is modeled as a polynomial phase signal, contaminated either by white or colored additive Gaussian noise. Obtained tests, optimal in the Neyman-Pearson sense, are linked with the maximum likelihood estimation procedures dealt with in earlier papers. An example shows the importance of properly suiting the test to the noise statistics.
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