A NUFFT Based Step-frequency Chirp Signal High Resolution Imaging Algorithm and Target Recognition Algorithm

Abstract

Radar Automatic Target Recognition (RATR) is the key technique to be breaked through in the fuure development of intelligent weapon system. Compared to the 2-D SAR image target recognition, High Resolution Range Profile (HRRP) target recognition has the advantage of low data dimension, low requirement of radar system's calculation and storage ability, and the imaging algorithm is also not complicated. HRRP imaging is the first and the key process in target recognition, its speed and imaging quality can directly influence the real-time capability and accuracy of target recognition. In this paper a new HRRP imaging algorithm — NUFFT algorithm is proposed, the derivation of mathematical expression is given, both for the echo simulation process and the imaging process. In the meantime, by analyzing each step's calculation complexity, we compared the calculation complexity of four different imaging algorithms, we also simulate two target's imaging and target recognition processing. Theoretical analysis and simulation both prove that the proposed algorithm's calculation complexity is improved in various degree compared with the others, thus can be effectively used in target recognition.

Journal

Title: Journal of Radars

Publisher: Chinese Academy of Sciences

Publication date (Electronic): 01 December 2015

Volume: 4

Issue: 6

Pages: 639-647

Affiliations

[1 ] Institute of Radar Technology, Beijing Institute of Technology

Article

Doaj ID: 1eeeb952e28644ada276c54c4c025b0d

DOI: 10.12000/JR15083

License:

This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

Product

Self URI: http://radars.ie.ac.cn/CN/html/R15083.htm

Self URI (journal page): http://radars.ie.ac.cn/EN/volumn/home.shtml

Categories

Subject: Technology (General)

Subject: T1-995