Two Dimensional Kalman Filtering and Assimilation of Wind Profiler Data

1986 ◽  
pp. 161-166
Author(s):  
D.F. PARRISH ◽  
S.E. COHN
Keyword(s):  
Kalman Filtering ◽  
Wind Profiler ◽  
Two Dimensional ◽  
Profiler Data

An evaluation of two automated quality control methods designed for use with hourly wind profiler data

1994 ◽  
Vol 12 (8) ◽  
pp. 711-724 ◽  
Author(s):  
P. A. Miller ◽  
M. F. Barth ◽  
D. W. van de Kamp ◽  
T. W. Schlatter ◽  
B. L. Weber ◽  
...  
Keyword(s):  
Quality Control ◽  
Statistical Evaluation ◽  
Wind Profiler ◽  
Control Methods ◽  
Operational Environment ◽  
Central United States ◽  
National Networks ◽  
Automated Quality Control ◽  
Profiler Data

Abstract. The National Oceanic and Atmospheric Administration (NOAA) has completed the installation of a 30-site demonstration network of wind-profiling radars in the central United States. The network is being used to demonstrate and assess the utility of wind profiler technology in a quasi-operational environment, and to help define operational requirements for possible future national networks. This paper describes two automated quality control methods designed to remove erroneous winds from the hourly network data. Case study examples and statistical evaluation of the performance of each method are also presented.

Efficient Optical Localization for Mobile Robots via Kalman Filtering-Based Location Prediction

2016 ◽  
Author(s):  
Jason N. Greenberg ◽  
Xiaobo Tan
Keyword(s):  
Kalman Filter ◽  
Kalman Filtering ◽  
Mobile Agent ◽  
Optical Communication ◽  
Line Of Sight ◽  
Location Prediction ◽  
Two Dimensional ◽  
Optical Communication System ◽  
Search Range ◽  
Simulation Results

Localization and communication are both essential functionalities of any practical mobile sensor network. Achieving both capabilities through a single Simultaneous Localization And Communication (SLAC) would greatly reduce the complexity of system implementation. In this paper a technique for localizing a mobile agent using the line of sight (LOS) detection of an LED-based optical communication system is proposed. Specifically, in a two-dimensional (2D) setting, the lines of sight between a mobile robot and two base nodes enable the latter to acquire bearing information of the robot and compute its location. However, due to the mobile nature of the robot, establishing its LOS with the base nodes would require extensive scan for all parties, severely limiting the temporal resolution and spatial precision of the localization. We propose the use of a Kalman filter to predict the position of the robot based on past localization results, which allows the nodes to significantly reduce the search range in establishing LOS. Simulation results and preliminary experimental results are presented to illustrate and support the proposed approach.

Application of radar wind profiler data in analyzing the process of torrential rains in Urumqi Xinjiang, China

2017 ◽  
Vol 88 (3) ◽  
pp. 1677-1690 ◽  
Author(s):  
Minzhong Wang ◽  
Quan Ren ◽  
Yan Geng ◽  
Yanhong Chai
Keyword(s):  
Wind Profiler ◽  
Profiler Data

scholarly journals Wavelet-based methods for clutter removal from radar wind profiler data

2004 ◽  
Author(s):  
Lutz A. Justen ◽  
Gerd Teschke ◽  
Volker Lehmann
Keyword(s):  
Wind Profiler ◽  
Clutter Removal ◽  
Profiler Data
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