目标定位精度与多目标定位:MIMO雷达中的权衡

H. Godrich, A. Haimovich, Rick S. Blum
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引用次数: 11

摘要

本文对具有广泛分布要素的相干MIMO雷达系统中多目标的定位性能进行了研究。具有相干处理和单一目标的MIMO雷达系统具有相干性和空间优势。前者与信号载波频率与有效带宽之比成正比,而后者提供的增益与发送和接收传感器数量的乘积成正比。在目前的研究中,将该模型扩展到多目标的估计精度。推导并分析了多目标定位问题的Cramer-Rao下界。结果表明,局域化得益于相干性优势。目标定位精度和可定位目标数量之间的权衡被显示为包含在空间优势术语中。要定位的目标数量的增加使系统受到更多的相互干扰。这种权衡取决于传感器和目标的几何足迹,以及两者的相对位置。通过对某些特殊情况的数值分析,可以了解给定雷达和目标部署之间的相互关系及其所带来的空间优势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Target localization accuracy and multiple target localization: Tradeoff in MIMO radars
This paper undertakes the study of localization performance of multiple targets in coherent MIMO radar systems with widely spread elements. MIMO radar systems with coherent processing and a single target were shown to benefit from a coherency and spatial advantages. The first is proportional to the ratio of the signal carrier frequency to the effective bandwidth, while the latter provides a gain proportional to the product of the number of transmitting and receiving sensors. In the current study, the model in extended to the estimation accuracy of multiple targets. The Cramer-Rao lower bound (CRLB) for the multiple targets localization problem is derived and analyzed. The localization is shown to benefit from coherency advantage. The tradeoff between target localization accuracy and the number of targets that can be localized is shown to be incorporated in the spatial advantage term. An increase in the number of targets to be localized exposes the system to increased mutual interferences. This tradeoff depends on the geometric footprint of both the sensors and the targets, and the relative positions of the two. Numerical analysis of some special cases offers an insight to the mutual relation between a given deployment of radars and targets and the spatial advantage it presents.
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