A Calibration Method of Short‐Time Waveform Signals Passed Through Linear Time‐Invariant Systems: 1. Methodology and Simple Examples. Issue 9 (16th September 2022)
- Record Type:
- Journal Article
- Title:
- A Calibration Method of Short‐Time Waveform Signals Passed Through Linear Time‐Invariant Systems: 1. Methodology and Simple Examples. Issue 9 (16th September 2022)
- Main Title:
- A Calibration Method of Short‐Time Waveform Signals Passed Through Linear Time‐Invariant Systems: 1. Methodology and Simple Examples
- Authors:
- Kitahara, M.
Matsuda, S.
Katoh, Y.
Kojima, H.
Kasahara, Y.
Miyoshi, Y.
Nakamura, S.
Hikishima, M. - Abstract:
- Abstract: We propose an accurate calibration method for short‐time waveform signals passed through a linear time‐invariant (LTI) system that has a non‐negligible group delay. Typically, the calibration process of waveform data is expressed by the deconvolution in the time domain, and there is an equivalent operation in the frequency domain with the Fourier transform. For the short‐time data, if the short‐time Fourier transform is applied to the waveform data in the calibration process, multiplying the data by a window function is highly recommended to reduce side‐lobe effects. However, the multiplied window function is also modified in the calibration process. We analyzed the modification mathematically and derived a method to eliminate the modification of the multiplied window function. In the method, calibrated data in the frequency domain are inverse‐transformed into waveform data at each frequency, divided by a modified window function at each frequency, and accumulated over the frequencies. The principle of this method derived quantitatively indicates that the calibration accuracy depends on the transfer function of the system, frequency resolution of the Fourier transform, type of the window function, and typical frequency of the waveform data. Compared with conventional calibration methods, the proposed method provides more accurate results in various cases. This method should be useful for the calibration of general radio wave signals passed through LTI systems asAbstract: We propose an accurate calibration method for short‐time waveform signals passed through a linear time‐invariant (LTI) system that has a non‐negligible group delay. Typically, the calibration process of waveform data is expressed by the deconvolution in the time domain, and there is an equivalent operation in the frequency domain with the Fourier transform. For the short‐time data, if the short‐time Fourier transform is applied to the waveform data in the calibration process, multiplying the data by a window function is highly recommended to reduce side‐lobe effects. However, the multiplied window function is also modified in the calibration process. We analyzed the modification mathematically and derived a method to eliminate the modification of the multiplied window function. In the method, calibrated data in the frequency domain are inverse‐transformed into waveform data at each frequency, divided by a modified window function at each frequency, and accumulated over the frequencies. The principle of this method derived quantitatively indicates that the calibration accuracy depends on the transfer function of the system, frequency resolution of the Fourier transform, type of the window function, and typical frequency of the waveform data. Compared with conventional calibration methods, the proposed method provides more accurate results in various cases. This method should be useful for the calibration of general radio wave signals passed through LTI systems as well as for the calibration of plasma waves observed in space. Key Points: We propose a calibration method using short‐time Fourier transform (STFT) for waveform data, such as plasma waves observed in space The accuracy of the method is evaluated using the transfer functions of well‐known filters and frequency‐fixed sinusoidal waveforms The proposed method provides the most accurately calibrated data compared with conventional methods using STFT … (more)
- Is Part Of:
- Radio science. Volume 57:Issue 9(2022)
- Journal:
- Radio science
- Issue:
- Volume 57:Issue 9(2022)
- Issue Display:
- Volume 57, Issue 9 (2022)
- Year:
- 2022
- Volume:
- 57
- Issue:
- 9
- Issue Sort Value:
- 2022-0057-0009-0000
- Page Start:
- n/a
- Page End:
- n/a
- Publication Date:
- 2022-09-16
- Subjects:
- signal processing -- waveform calibration -- plasma wave observation
Radio meteorology -- Periodicals
Radio wave propagation -- Periodicals
621.38405 - Journal URLs:
- http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1944-799X ↗
http://www.agu.org/journals/rs/ ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1029/2022RS007454 ↗
- Languages:
- English
- ISSNs:
- 0048-6604
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 7232.999500
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 24008.xml