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Phase Synchronization for Coherent MIMO Radar: Algorithms and Their Analysis

机译:相干MIMO雷达的相位同步:算法及其分析

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Multiple-input multiple-output (MIMO) radar can achieve improved localization performance by employing a coherent processing approach with proper antenna positioning. Coherent processing, however, entails the challenge of ensuring phase coherence of the carrier signals from different distributed radar elements. In this work, we aim to address such a challenge by providing a systematic treatment of the phase synchronization problem in coherent MIMO radar systems. We propose and study three different approaches for reaching a common notion of phase in coherent MIMO radar, namely, the master-slave closed-loop algorithm, the round-trip algorithm and the broadcast consensus based algorithm. These algorithms range from centralized to distributed types, and include both noniterative and iterative approaches. They do not require a priori establishment of the time synchronization, and thus are all time asynchronous in nature. Under a similar analytical framework, we mathematically characterize each of these algorithms, and further derive and study the statistical properties of a few relevant figures of merit including the resulting phase synchronization error. Simulation results are presented to validate our theoretical analysis.
机译:多输入多输出(MIMO)雷达可以通过采用具有适当天线定位的相干处理方法来提高定位性能。然而,相干处理带来了确保来自不同分布式雷达元件的载波信号的相位相干性的挑战。在这项工作中,我们旨在通过对相干MIMO雷达系统中的相位同步问题进行系统的处理来应对这一挑战。我们提出并研究了三种不同的方法来达到相干MIMO雷达的通用相位概念,即主从闭环算法,往返算法和基于广播共识的算法。这些算法的范围从集中式到分布式,包括非迭代和迭代方法。它们不需要先验建立时间同步,因此本质上都是时间异步的。在类似的分析框架下,我们对每种算法进行数学表征,然后进一步推导和研究一些相关品质因数的统计特性,包括所导致的相位同步误差。仿真结果被提出来验证我们的理论分析。

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