Micro-Doppler Signature Detection and Recognition of UAVs Based on OMP Algorithm.

ABSTRACT: With the proliferation of unmanned aerial vehicles (UAVs) in both commercial and military use, the public is paying increasing attention to UAV identification and regulation. The micro-Doppler characteristics of a UAV can reflect its structure and motion information, which provides an important reference for UAV recognition. The low flight altitude and small radar cross-section (RCS) of UAVs make the cancellation of strong ground clutter become a key problem in extracting the weak micro-Doppler signals. In this paper, a clutter suppression method based on an orthogonal matching pursuit (OMP) algorithm is proposed, which is used to process echo signals obtained by a linear frequency modulated continuous wave (LFMCW) radar. The focus of this method is on the idea of sparse representation, wh

SUBMITTER: Fan S 

PROVIDER: S-EPMC10535593 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature