Particle swarm optimization for motion compensation in Costas-coded frequency-hopped radar

Linyao Qu; Xiaolei Fan; Shaoying Su

doi:10.1117/1.JRS.12.025012

25 May 2018 Particle swarm optimization for motion compensation in Costas-coded frequency-hopped radar

Linyao Qu, Xiaolei Fan, Shaoying Su

Author Affiliations +

Journal of Applied Remote Sensing, Vol. 12, Issue 2, 025012 (May 2018). https://doi.org/10.1117/1.JRS.12.025012

Abstract

Signals from Costas-coded frequency-hopped radars exhibit an approximate “thumbtack” ambiguity function and prevent range-Doppler coupling. Therefore, these radars provide high-resolution range and velocity performance. However, the radar signals are highly sensitive to Doppler frequency shifts, and peak divergence arises due to Doppler mismatches when the target is moving. To solve these problems, we thoroughly analyze the effect of velocity on range profiles. Then, we propose a method of motion compensation based on particle swarm optimization using improved waveform entropy as the objective function. The target velocity is accurately determined through an iterative search. After motion compensation, the focus of the target range profile is notably improved. Simulation results confirm that the proposed method has a low computational complexity and retrieves accurate velocity estimates even under low signal-to-noise ratio and high target speeds, suggesting its adaptability and robustness for real-world applications.

Citation Download Citation

Linyao Qu, Xiaolei Fan, and Shaoying Su "Particle swarm optimization for motion compensation in Costas-coded frequency-hopped radar," Journal of Applied Remote Sensing 12(2), 025012 (25 May 2018). https://doi.org/10.1117/1.JRS.12.025012

Received: 14 January 2018; Accepted: 11 May 2018; Published: 25 May 2018

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $24.00

Non-members: $28.00 ADD TO CART

JOURNAL ARTICLE
12 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Particles

Radar

Particle swarm optimization

Signal to noise ratio

Fluctuations and noise

Doppler effect

Detection and tracking algorithms

Show All Keywords

Keywords/Phrases

Search In:

Publication Years