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Direct Position Determination with Single Sensor Based on Signal Periodicity
Mathematical Problems in Engineering Pub Date : 2021-05-13 , DOI: 10.1155/2021/6649287
Cheng Wang 1 , Ding Wang 1 , Lu Gao 2 , Bin Yang 1
Affiliation  

Due to practical limitations on size and cost, aerial vehicles generally cannot equip complicated sensors to form sensor array for target localization. In this paper, we investigate the direct position determination (DPD) of stationary source via single moving sensor. First, we analyze artificial signal structure and construct the DPD model with the frame periodicity of artificial signal. The model incorporates Doppler information extracted from both transformation frames and adjacent samples into target localization. Secondly, we consider the effect of oscillator instability and present an iterative solution for joint estimation of target location and phase noise caused by oscillator imperfection. The proposed technique fully exploits periodic structure of artificial wireless signal, which leads to significant enhancement in localization performance. Both theoretical analysis and simulations are presented to confirm its effectiveness.

中文翻译:

基于信号周期的单传感器直接位置确定

由于在尺寸和成本上的实际限制,飞行器通常不能装备复杂的传感器来形成用于目标定位的传感器阵列。在本文中,我们研究了通过单个移动传感器对固定源的直接位置确定(DPD)。首先,我们分析了人工信号的结构,并构造了具有人工信号帧周期的DPD模型。该模型将从转换帧和相邻样本中提取的多普勒信息合并到目标定位中。其次,我们考虑了振荡器不稳定的影响,并提出了一种迭代解法,用于联合估计目标位置和由振荡器缺陷引起的相位噪声。所提出的技术充分利用了人工无线信号的周期性结构,这导致本地化性能的显着提高。进行了理论分析和仿真,以证实其有效性。
更新日期:2021-05-14
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