Upper atmospheric remote sensing using ELF – VLF lightning generated tweek and whistler sferics

Kishore, Amol N.; Deo, Anil; Kumar, Sushil

doi:10.1071/sp16002

Cited by 2 publications

(1 citation statement)

References 27 publications

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“…YanPing et al [4] studied the frequency and dispersion characteristics of whistler waves, through the detection of low-frequency emission originating from natural and artificial activities by the high-quality WHU ELF/VLF receiver system deployed in Suizhou, China. Kishore et al [5] probed the D-region of the ionosphere in the nighttime and the plasmasphere by recording tweek-and whistler-wave atmospherics recorded at a low latitude station, the Suva in the South Pacific region. Zahlava et al [6] found that waves in the ionosphere were strongly related to frequency and geomagnetic latitude by analyzing the measurements from the detection of electro-magnetic emissions transmitted from spacecraft from earthquake regions.…”

Section: Introductionmentioning

confidence: 99%

Spaceborne Algorithm for Recognizing Lightning Whistler Recorded by an Electric Field Detector Onboard the CSES Satellite

Li,

Yuan,

Cao

et al. 2023

Atmosphere

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The electric field detector of the CSES satellite has captured a vast number of lightning whistler events. To recognize them effectively from the massive amount of electric field detector data, a recognition algorithm based on speech technology has attracted attention. However, this approach has failed to recognize the lightning whistler events which are contaminated by other low-frequency electromagnetic disturbances. To overcome this limitation, we apply the single-channel blind source separation method and audio recognition approach to develop a novel model, which consists of two stages. (1) The training stage: Firstly, we preprocess the electric field detector wave data into the audio fragment. Then, for each audio fragment, mel-frequency cepstral coefficients are extracted and input into the long short-term memory network for training the novel lightning whistler recognition model. (2) The inference stage: Firstly, we process each audio fragment with the single-channel blind source to generate two different sub-signals. Then, for each sub-signal, the mel-frequency cepstral coefficient features are extracted and input into the lightning whistler recognition model to recognize the lightning whistler. Finally, the two results above are processed by decision fusion to obtain the final recognition result. Experimental results based on the electric field detector data of the CSES satellite demonstrate the effectiveness of the algorithm. Compared with classical methods, the accuracy, recall, and F1-score of this algorithm can be increased by 17%, 62.2%, and 50%, respectively. However, the time cost only increases by 0.41 s.

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Section: Introductionmentioning

confidence: 99%

Spaceborne Algorithm for Recognizing Lightning Whistler Recorded by an Electric Field Detector Onboard the CSES Satellite

Li,

Yuan,

Cao

et al. 2023

Atmosphere

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Evolution of Antenna Radiation Parameters for Air-to-Plasma Transition

Miś

2024

Electronics

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This paper presents the description of antenna parameters related to its radiation/reception capabilities influenced by the plasma parameters in the environment surrounding the antenna, complementing the existing works on the antenna parameters (e.g., the impedance or currents). The parameters considered are the radiation zones’ radiuses (inductive, Fresnel, Fraunhofer), scalloping and directivity; a method of transformation of the air/vacuum-measured radiation/reception pattern to the pattern expected for given plasmatic conditions is also considered. Three different simplified plasma conditions are taken into account (different electron densities: 1.4 × 1012 m−3, 4 × 1011 m−3 and 108 m−3), with varying antenna length (1 m, 10 m, 100 m) and signal propagation mode (classic-ionospheric, whistler and Alfvén). The findings show that the presented antenna parameters and its radiation/reception pattern are heavily dependent on the plasma conditions. These findings can be used to form additional requirements and constraints for the mechanical design of new instrumentation for space weather measurements on board spacecraft (e.g., moving the antennas away from the spacecraft in order not to alter their radiation/reception patterns or not to measure the plasma around the spacecraft) or more accurate data processing from existing space weather satellites, allowing, for example, a more precise triangulation of the signal source or its spectral power regarding the actual performance of the antennas submerged in plasma.

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Upper atmospheric remote sensing using ELF – VLF lightning generated tweek and whistler sferics

Abstract: Tweek and whistler atmospherics (sferics)

Cited by 2 publications

References 27 publications

Spaceborne Algorithm for Recognizing Lightning Whistler Recorded by an Electric Field Detector Onboard the CSES Satellite

Spaceborne Algorithm for Recognizing Lightning Whistler Recorded by an Electric Field Detector Onboard the CSES Satellite

Evolution of Antenna Radiation Parameters for Air-to-Plasma Transition

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