| 摘要: |
| 移动多目标定位问题一直是阵列信号处理、雷达探测、无线传感网络等领域的热点问题。其中在仿生雷达技术领域,传统声学定位方法在估计飞行蝙蝠位置时,忽略了蝙蝠运动速度产生的定位偏差,从而难以支撑后续的精密参数测量与分析。针对这一挑战,本文首先构建了三维空间下的集群飞行蝙蝠定位模型,考虑了蝙蝠飞行速度对定位产生的影响,并提出了一种基于速度补偿(Velocity Compensation,VC)的移动多目标直接位置确定(Direct Position Determination,DPD)算法,通过速度补偿减弱了速度产生的多普勒影响,从而降低定位误差。仿真与实测数据的处理结果均表明,在集群飞行蝙蝠场景中,本文方法相较于现有定位手段,具备更优越的定位精度与稳健性。 |
| 关键词: 蝙蝠 定位模型 速度补偿 直接定位 |
| DOI： |
| 分类号:TN911 |
| 基金项目:国家自然科学基金项目（面上项目，重点项目，重大项目） |
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| A Velocity Compensation Based Direct Position Determination Algorithm for Clustered Flying Bats |
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| Abstract: |
| The problem of mobile multi-target localization has long been a research hotspot in the fields of array signal processing, radar detection, and wireless sensor networks. In bio-inspired radar applications, conventional acoustic localization methods for estimating the positions of flying bats often neglect the localization bias induced by bat flight velocity, which makes them inadequate for subsequent high-precision parameter measurement and analysis. To address this challenge, this paper first establishes a three-dimensional localization model for bats flying in clusters, explicitly taking the influence of flight velocity on localization into account. Furthermore, a velocity-compensated (VC) mobile multi-target direct position determination (DPD) algorithm is proposed. By introducing velocity compensation, the Doppler effects caused by target motion are effectively mitigated, thereby reducing localization errors. Simulation results and real experimental data processing demonstrate that, in clustered flying bat scenarios, the proposed method achieves superior localization accuracy and robustness compared with existing localization approaches. |
| Key words: bats localization model velocity compensation direct position determination |