Title :
E-SPART Analyzer for Mars Mission: A New Approach in Signal Processing and Sampling
Author :
Zhang, Jing ; Srirama, Praveen K. ; Mazumder, Malay K.
Author_Institution :
Arkansas Univ., Little Rock
Abstract :
This paper introduces a novel electrical single particle aerodynamic relaxation time (E-SPART) analyzer for dust particle analysis in the Mars mission. The new E-SPART analyzer is based on a stationary-fringe laser Doppler velocimeter that can simplify the system hardware and reduce its physical size and weight. This paper presents the new operational principle and the signal processing methods. The requirement of the size of sensing volume is discussed by considering pedestal removal and the required time duration of a Doppler signal burst. Experimental results are given to confirm the effectiveness of the principle.
Keywords :
Doppler measurement; Mars; laser velocimetry; planetary remote sensing; signal sampling; Doppler signal burst; E-SPART analyzer; Hilbert transform; Mars mission; dust particle analysis; electrical single particle aerodynamic relaxation time; empirical mode decomposition; instantaneous frequency; particulate-size measurement; pedestal removal; signal processing; signal sampling; stationary-fringe laser Doppler velocimeter; Acoustic beams; Aerodynamics; Frequency; Laser beams; Mars; Particle measurements; Signal analysis; Signal generators; Signal processing; Signal sampling; Electrical Single Particle Aerodynamic Relaxation Time (E-SPART) analyzer; Hilbert transform (HT); empirical mode decomposition (EMD); instantaneous frequency (IF); laser Doppler velocimeter (LDV); particulate-size measurement;
Journal_Title :
Industry Applications, IEEE Transactions on
DOI :
10.1109/TIA.2007.900475
