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Ultra-Wideband MIMO Ambiguity Function and Its Factorability

机译:超宽带MIMO模糊度函数及其可分解性

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Ambiguity function (AF) provides an effective way for analysis of the resolving performance of a radar system. With the development of ultra-wideband (UWB) and multiple-input-multiple-output (MIMO) radio techniques, recently, the combination of them—the concept of UWB MIMO radar has been proposed and received much attention. For a UWB MIMO radar, first, the signal waveform with an exponential expression which is widely adopted in narrowband cases is not appropriate anymore. Second, the MIMO radar sensors are typically organized in a certain spatial topology, which greatly impacts the performance of the MIMO system. In addition, for a typical MIMO radar application scenario, generally, there are relative motions existing between the radar sensors and the targets. The presence of the relative motions would further complicate the performance analysis of the system. In fact, for a MIMO radar, the overall performance of the system is jointly determined by the parameters, such as the signal waveform, the topology, and the relative motions. Each of the parameters impacts the resolving performance in a particular way. In order to evaluate the contribution of each individual parameter of interest, in this paper, a UWB MIMO AF is developed and factorized into several factors. By this means, each individual parameter can be evaluated via the corresponding factor to examine a certain specific characteristic of the system, instead of via the complicated whole MIMO AFs.
机译:模糊函数(AF)提供了一种有效的方法来分析雷达系统的分辨性能。随着超宽带(UWB)和多输入多输出(MIMO)无线电技术的发展,近来,它们的组合-UWB MIMO雷达的概念已经提出并受到了广泛的关注。对于UWB MIMO雷达,首先,在窄带情况下广泛采用的具有指数表达式的信号波形已不再适用。其次,MIMO雷达传感器通常组织在特定的空间拓扑中,这极大地影响了MIMO系统的性能。另外,对于典型的MIMO雷达应用场景,通常,雷达传感器与目标之间存在相对运动。相对运动的存在将进一步使系统的性能分析复杂化。实际上,对于MIMO雷达,系统的整体性能由参数共同确定,例如信号波形,拓扑和相对运动。每个参数都以特定方式影响解析性能。为了评估每个感兴趣的参数的贡献,本文开发了UWB MIMO AF,并将其分解为几个因素。通过这种方式,可以通过相应的因素评估每个单独的参数,以检查系统的特定特性,而不是通过复杂的整个MIMO AF进行评估。

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