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Generalised Ambiguity Function for MIMO Radar Systems
IEEE Transactions on Aerospace and Electronic Systems ( IF 5.1 ) Pub Date : 2019-12-01 , DOI: 10.1109/taes.2019.2907390
Christos V. Ilioudis , Carmine Clemente , Ian K. Proudler , John Soraghan

In this paper, a generalized signal model is presented to accommodate both narrowband and wideband signals in a multi-input multi-output (MIMO) sensor system scenarios. The derived model is then used to define a MIMO ambiguity function based on the Kullback–Leibler divergence. Moreover, the proposed formulation is parametrized using the signal and channel correlation matrices to account for different waveform and sensor placement designs, thereby allowing a flexible modeling approach. A comparison between the proposed definition and the more conventional approach of summing the squared matched filter outputs is presented for different sensors and waveforms configurations.

中文翻译:

MIMO雷达系统的广义模糊度函数

在本文中,提出了一种广义信号模型,以适应多输入多输出 (MIMO) 传感器系统场景中的窄带和宽带信号。然后使用导出的模型来定义基于 Kullback-Leibler 散度的 MIMO 模糊度函数。此外,建议的公式使用信号和通道相关矩阵进行参数化,以考虑不同的波形和传感器放置设计,从而实现灵活的建模方法。针对不同的传感器和波形配置,提出了所提出的定义与对平方匹配滤波器输出求和的更传统方法之间的比较。
更新日期:2019-12-01
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