Manifold Optimization Based Beamforming for DoA and DoD Estimation with a Single Multi-Mode Antenna

R. Pöhlmann, Siwei Zhang, A. Dammann, P. Hoeher
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引用次数: 1

Abstract

Both direction-of-arrival (DoA) and direction-of-departure (DoD) of a radio signal contain valuable information for localization. Their estimation with antenna arrays is well known. More recently, multi-mode antennas (MMAs), building on the theory of characteristic modes, have been investigated for DoA estimation. This paper introduces joint DoA and DoD estimation with a single MMA on transmitter and receiver side. In general, the polarization of a signal transmitted by an MMA varies with the direction, which makes an appropriate signal model necessary. For best performance, optimized transmit beamforming should be performed. We derive the Cramér-Rao bound (CRB) for DoA and DoD estimation with MMAs, propose an optimized beamformer (OBF), which minimizes the CRB, and evaluate its performance.
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基于流形优化的单多模天线DoA和DoD估计波束形成
无线电信号的到达方向(DoA)和离开方向(DoD)都包含有价值的定位信息。用天线阵列估计它们是众所周知的。近年来,基于特征模理论的多模天线(MMAs)被研究用于DoA估计。本文介绍了用单个MMA在发送端和接收端进行联合DoA和DoD估计。一般来说,MMA传输的信号的极化随方向而变化,因此需要适当的信号模型。为了获得最佳性能,应执行优化的发射波束形成。推导了基于MMAs的DoA和DoD估计的cram - rao界(CRB),提出了一种最小化CRB的优化波束形成器(OBF),并对其性能进行了评价。
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