LiSBOA: LiDAR Statistical Barnes Objective Analysis for optimal design of LiDAR scans and retrieval of wind statistics. Part I: Theoretical framework
LiSBOA: LiDAR Statistical Barnes Objective Analysis for optimal design of LiDAR scans and retrieval of wind statistics. Part I: Theoretical framework
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LiSBOA：LiDAR 统计 Barnes 客观分析，用于 LiDAR 扫描的优化设计和风统计数据的检索。
DOI：
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发表时间：
2020
期刊：
影响因子：
--
通讯作者：
G. Iungo
中科院分区：
文献类型：
--
作者：
S. Letizia;L. Zhan;G. Iungo
抽象的。提出了一种基于统计巴恩斯客观分析（LiSBOA）的激光雷达扫描优化设计方法和速度统计矩提取方法。LiSBOA代表了经典的巴恩斯计划在N维空间的非结构化实验数据的统计分析的适应，它是一个合适的技术，通过扫描激光雷达采样的标量场的统计结构化笛卡尔网格的评价。LiSBOA的验证和特点是通过蒙特卡罗方法应用于合成速度场。这种重新审视的理论框架的巴恩斯客观分析，使制定的指导方针，激光雷达实验的优化设计和有效的应用LiSBOA激光雷达测量的后处理。LiDAR扫描的优化设计被配制成两个成本函数优化问题，包括最小化未以足够的空间分辨率采样的测量体积的百分比和最小化速度场的平均值的误差。LiDAR扫描的最佳设计还指导平滑参数的选择和用于巴恩斯方案的迭代总数。
Abstract. A LiDAR Statistical Barnes Objective Analysis (LiSBOA) for optimal design of LiDAR scans and retrieval of the velocity statistical moments is proposed. The LiSBOA represents an adaptation of the classical Barnes scheme for the statistical analysis of unstructured experimental data in N-dimensional spaces and it is a suitable technique for the evaluation over a structured Cartesian grid of the statistics of scalar fields sampled through scanning LiDARs. The LiSBOA is validated and characterized via a Monte Carlo approach applied to a synthetic velocity field. This revisited theoretical framework for the Barnes objective analysis enables the formulation of guidelines for optimal design of LiDAR experiments and efficient application of the LiSBOA for the post-processing of LiDAR measurements. The optimal design of LiDAR scans is formulated as a two cost-function optimization problem including the minimization of the percentage of the measurement volume not sampled with adequate spatial resolution and the minimization of the error on the mean of the velocity field. The optimal design of the LiDAR scans also guides the selection of the smoothing parameter and the total number of iterations to use for the Barnes scheme.
影响因子：
4.1
作者：
L. Zhan;S. Letizia;G. Valerio Iungo
通讯作者：
L. Zhan;S. Letizia;G. Valerio Iungo
风力激光雷达测量平坦和复杂地形上演变的风力涡轮机尾流：速度场的集合统计
DOI：
10.1088/1742-6596/1452/1/012077
发表时间：
2020
期刊：
Journal of Physics: Conference Series
影响因子：
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作者：
Zhan, Lu;Letizia, Stefano;Iungo, Giacomo Valerio
通讯作者：
Iungo, Giacomo Valerio
影响因子：
2.2
作者：
O'Connor, Ewan J.;Illingworth, Anthony J.;Brooks, Barbara J.
通讯作者：
Brooks, Barbara J.