Open AccessUAV target detection and parameter estimation in non‐homogeneous clutter
Author(s) -
Huang Rui,
Du XiaoYong,
Hu WeiDong
Publication year - 2019
Publication title -
the journal of engineering
Language(s) - English
Resource type - Journals
ISSN - 2051-3305
DOI - 10.1049/joe.2019.0550
Subject(s) - clutter , computer science , detector , fast fourier transform , constant false alarm rate , estimator , radar , artificial intelligence , algorithm , signal (programming language) , computer vision , detection theory , mathematics , telecommunications , statistics , programming language
Aiming at the problem of UAV target detection and parameter estimation in non‐homogeneous clutter with STLFMCW radar, a SK‐CFAR detector is proposed based on the local spectrum refinement. By using zoom‐FFT, the two‐dimensional spectrum of the received signal is extracted for local template matching. Subsequently, the two‐dimensional SK‐CFAR detector and CLEAN technique are applied to decide whether there exist some targets in the region of interest. Compared with Radon–Fourier transform (RFT) and moving target detection (MTD), the proposed estimator based on local speed compensation is a good choice for the trade‐off of high performance and low computational load even though the input signal‐to‐clutter ratio approaches to −24 dB.