Abstract
Accurate and high-resolution extraction of the Micro-Doppler (M-D) feature is of great significance for radar target identification. However, current feature extraction methods are usually based on the conventional time-frequency (TF) distributions (TFDs), which suffer from poor resolution or interference terms. Considering the inherent sparsity of the target echo on the TF plane, this paper proposes a novel TF analysis method named short-time sparse Fourier transform (STSFT) to enhance the M-D characteristics. Different from previous sparsity-based TF methods, the sparse constraint is added to each short-time signal segment individually. The effectiveness of the STSFT is validated by simulations.
Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
