Abstract
This paper evaluates the performance of a bespoke signal processing algorithm based on spectral analysis to obtain aerosol particle charge distribution. The measurement method is based on tracking particle motion in square-wave excitation electric field using Phase Doppler Anemometry (PDA). The system performance has been tested using Monte Carlo simulations obtained from the synthesized Doppler burst signals. The velocity estimation range of the system was from 10 mm/s to 800 mm/s for a wide range of SNRs, with an error less than 1% for the velocity greater than 50 mm/s. The corresponding charge-mass ratio measurement range was from around 1 mu C/g to the saturation level. The percentage of successfully processed single and multi-burst signals was evaluated using numerical simulations.
Original language | English |
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Title of host publication | 2013 IEEE International Conference on Industrial Technology (ICIT) |
Publisher | Institute of Electrical and Electronics Engineers |
Pages | 1069-1074 |
Number of pages | 6 |
DOIs | |
Publication status | Published - 2013 |
Event | IEEE International Conference on Industrial Technology (ICIT) - Cape Town, South Africa Duration: 25 Feb 2013 → 28 Feb 2013 |
Conference
Conference | IEEE International Conference on Industrial Technology (ICIT) |
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Country/Territory | South Africa |
City | Cape Town |
Period | 25/02/13 → 28/02/13 |
Keywords
- aerosols
- signal processing
- spectral analysis particle measurements
- E-SPART ANALYZER
- SIZE