Beampattern optimisation for sub-arrayed MIMO radar for large arrays

D. Wilcox, M. Sellathurai
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引用次数: 1

Abstract

The estimation of the direction of arrival (DOA) of signals in the far-field of an array has been an area of continued research. Recent advances in MIMO radar techniques have led to results whereby prior knowledge of the approximate target locations is used to generate arbitrary signals which are transmitted from an active array to improve DOA estimates. This would be a useful in a scenario such as target tracking. However, this neglects the complexities of the hardware required for larger arrays, and further, the amount of computation required on the transmit side alone. A sub-optimal method employing sub-arrays to reduce hardware requirements, and a low complexity algorithm to determine the optimal steering vectors for the arrays is presented and compared to the optimal full diversity transmit strategy.
面向大阵列的子阵列MIMO雷达波束方向优化
阵列远场信号到达方向(DOA)的估计一直是一个不断研究的领域。MIMO雷达技术的最新进展导致了这样的结果,即利用对目标位置的近似先验知识来产生任意信号,这些信号从有源阵列传输,以提高DOA估计。这在目标跟踪等场景中非常有用。然而,这忽略了大型阵列所需硬件的复杂性,而且,还忽略了仅在传输端所需的计算量。提出了一种利用子阵列降低硬件要求的次优方法,以及一种确定阵列最优转向矢量的低复杂度算法,并与最优全分集传输策略进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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