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Broad-band detection based on two-dimensional mixed autoregressive models

机译:基于二维混合自回归模型的宽带检测

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摘要

Two detectors for broadband plane waves in colored noise fields that use a linear array are described. The signal spectrum, arrival angle, and noise field coloration are not known a priori. Using a two-dimensional mixed autoregressive model, a generalized-likelihood-ratio test and its weak-signal equivalent, the Rao test, are derived. The performances of the proposed detectors are shown by computer simulations to be superior to those of conventional Fourier-based methods. Detection results for real data are presented.
机译:描述了用于使用线性阵列的有色噪声场中的宽带平面波的两个检测器。先验未知信号频谱,到达角和噪声场着色。使用二维混合自回归模型,导出了广义似然比检验及其弱信号等效项Rao检验。计算机仿真表明,所提出的检测器的性能优于传统的基于傅立叶的方法。给出了真实数据的检测结果。

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