Accurate time-delay estimation algorithm for ADS-B signal in radar systematic bias calibration

Tengjiao Dong

doi:10.1117/12.2674141

6 April 2023 Accurate time-delay estimation algorithm for ADS-B signal in radar systematic bias calibration

Tengjiao Dong

Proceedings Volume 12615, International Conference on Signal Processing and Communication Technology (SPCT 2022); 126150M (2023) https://doi.org/10.1117/12.2674141
Event: International Conference on Signal Processing and Communication Technology (SPCT 2022), 2022, Harbin, China

Abstract

The calibration and compensation of systematic biases of air-to-air 7radars based on ADS-B messages is an easy-toimplement radar calibration technique. However, the calibration accuracy is limited by the lack of accurate timestamp information in ADS-B messages. To address this problem, a technique to perform accurate time-delay search based on the maximum likelihood objective function is proposed. Simulations demonstrate that this time-delay search and estimation algorithm can achieve the function of time-delay estimation with high accuracy and stable performance and better than sample selection calibration method, thereby meeting the requirements of search and surveillance radar calibration.

Citation Download Citation

Tengjiao Dong "Accurate time-delay estimation algorithm for ADS-B signal in radar systematic bias calibration", Proc. SPIE 12615, International Conference on Signal Processing and Communication Technology (SPCT 2022), 126150M (6 April 2023); https://doi.org/10.1117/12.2674141

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