CWT Algorithm for Forward-Scatter Radar Micro-Doppler Signals Analysis

• Published in: 2020 IEEE International RF and Microwave Conference, RFM 2020 - Proceeding
• Main Author: Othman K.A.; Rashid N.E.A.; Abdullah R.S.A.R.; Alnaeb A.A.
• Format: Conference paper
• Language: English
• Published: Institute of Electrical and Electronics Engineers Inc. 2020
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85101673992&doi=10.1109%2fRFM50841.2020.9344748&partnerID=40&md5=2a59bbaf0f988474cf67d593a7592038

The study on Forward Scatter Radar (FSR) Micro-Doppler signals for ground target detection has become a subject of attention recently. Time series signal analysis is considered as an important area explored in understanding hidden information that can be evaluated for further processing. Wavelet transformation is well known method used to analyze time domain signal for identification of important features for classification purposes. This paper describes time series signal analysis of FSR radar network using wavelet transformation. The developed algorithm use CWT Morlet in the transformation procedure. The wavelet performance in transformation process is verified using data sampled from a simulated pendulum and experimental controlled data signals. By using the developed algorithm, the presence Micro-Doppler signatures can be detected. Through preliminary testing the algorithm has proven to be a potential method in to be applied for feature identification. © 2020 IEEE.