An effective signal sorting algorithm based on the distribution analysis of the numbers of pulses

Qianhui Yu; Sunhu Zhang; Yechao Bai

doi:10.1117/12.3023239

28 March 2024 An effective signal sorting algorithm based on the distribution analysis of the numbers of pulses

Qianhui Yu, Sunhu Zhang, Yechao Bai

Proceedings Volume 13091, Fifteenth International Conference on Signal Processing Systems (ICSPS 2023); 1309104 (2024) https://doi.org/10.1117/12.3023239
Event: Fifteenth International Conference on Signal Processing Systems (ICSPS 2023), 2023, Xi’an, China

Abstract

Radar signal sorting is an important issue in radar electronic warfare, and its accuracy directly affects the identification of radar radiation sources and the effectiveness of electronic reconnaissance systems. This article proposes an efficient radar sorting algorithm. Firstly, the number of pulses in small intervals is counted, and the number of pulses in the interval is calculated. Then, the potential pulse interval is searched for, and the corresponding pulse string of the signal with the potential pulse interval is obtained using an improved sequence retrieval algorithm based on vector dot product. The interference between pulse strings with different PRIs (Pulse Repetition Intervals) is reduced by using the method of successive elimination. Simulation experiments show that the algorithm greatly reduces the calculation time while maintaining high accuracy in radar sorting.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Qianhui Yu, Sunhu Zhang, and Yechao Bai "An effective signal sorting algorithm based on the distribution analysis of the numbers of pulses", Proc. SPIE 13091, Fifteenth International Conference on Signal Processing Systems (ICSPS 2023), 1309104 (28 March 2024); https://doi.org/10.1117/12.3023239

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