MAGNETIC DISTURBANCES, SPORADIC E, AND RADIO ECHOES ASSOCIATED WITH THE AURORA

1954 ◽  
Vol 32 (5) ◽  
pp. 326-329 ◽  
Author(s):  
J. H. Meek ◽  
A. G. McNamara
Keyword(s):  
High Frequency ◽  
Field Variation ◽  
Magnetic Field Variation ◽  
Very High Frequency ◽  
High Frequency Radar ◽  
Radar Echoes ◽  
Sporadic E ◽  
Auroral Arcs ◽  
Very High ◽  
Magnetic Disturbances

A comparison of simultaneous data on the visible aurora, the earth's magnetic field variation, vertical and oblique ionosonde echoes, and very-high-frequency radar echoes has been made. Long-range high-frequency and very-high-frequency radio echoes do not appear to correlate individually. Reflections are observed, however, on both frequency ranges coincident with the appearance of low elevation auroral arcs, which are associated with magnetic bays.

Low‐angle tracking algorithm using polarisation sensitive array for very‐high frequency radar

2014 ◽  
Vol 8 (9) ◽  
pp. 1035-1041 ◽  
Author(s):  
Zhen‐hai Xu ◽  
Jia‐ni Wu ◽  
Ziyuan Xiong ◽  
Shun‐ping Xiao
Keyword(s):  
High Frequency ◽  
Tracking Algorithm ◽  
Very High Frequency ◽  
High Frequency Radar ◽  
Angle Tracking ◽  
Very High

Observation and analysis of atmospheric rainfall based on the very high frequency radar

2017 ◽  
Vol 11 (4) ◽  
pp. 616-620 ◽  
Author(s):  
Haiyin Qing ◽  
Yenhsyang Chu ◽  
Zhengyu Zhao ◽  
Chinglun Su ◽  
Chen Zhou ◽  
...  
Keyword(s):  
High Frequency ◽  
Very High Frequency ◽  
High Frequency Radar ◽  
Very High

scholarly journals Measurement of Range-Weighting Function for Range Imaging of VHF Atmospheric Radars Using Range Oversampling

2014 ◽  
Vol 31 (1) ◽  
pp. 47-61 ◽  
Author(s):  
Jenn-Shyong Chen ◽  
Ching-Lun Su ◽  
Yen-Hsyang Chu ◽  
Ruey-Ming Kuong ◽  
Jun-ichi Furumoto
Keyword(s):  
Power Distribution ◽  
High Frequency ◽  
Weighting Function ◽  
Signal To Noise Ratio ◽  
Pulse Length ◽  
Range Imaging ◽  
Very High Frequency ◽  
Gaussian Form ◽  
Radar Echoes ◽  
Very High

Abstract Multifrequency range imaging (RIM) used with the atmospheric radars at ultra- and very high-frequency (VHF) bands is capable of retrieving the power distribution of the backscattered radar echoes in the range direction, with some inversion algorithms such as the Capon method. The retrieved power distribution, however, is weighted by the range-weighting function (RWF). Modification of the retrieved power distribution with a theoretical RWF may cause overcorrection around the edge of the sampling gate. In view of this, an effective RWF that is in a Gaussian form and varies with the signal-to-noise ratio (SNR) of radar echoes has been proposed to mitigate the range-weighting effect and thereby enhance the continuity of the power distribution at gate boundaries. Based on the previously proposed concept, an improved approach utilizing the range-oversampled signals is addressed in this article to inspect the range-weighting effects at different range locations. The shape of the Gaussian RWF for describing the range-weighting effect was found to vary with the off-center range location in addition to the SNR of radar echoes—that is, the effective RWF for the RIM was SNR and range dependent. The use of SNR- and range-dependent RWF can be of help to improve the range imaging to some degree at the range location outside the range extent of a sampling gate defined by the pulse length. To verify the proposed approach, several radar experiments were carried out with the Chung-Li (24.9°N, 121.1°E) and middle and upper atmosphere (MU; 34.85°N, 136.11°E) VHF radars.

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