Cognitive radar waveform design based on PCMA-ES algorithms

Xingjia Wang

doi:10.1117/12.3017303

15 January 2024 Cognitive radar waveform design based on PCMA-ES algorithms

Xingjia Wang

Proceedings Volume 12983, Second International Conference on Electrical, Electronics, and Information Engineering (EEIE 2023); 129830Q (2024) https://doi.org/10.1117/12.3017303
Event: Second International Conference on Electrical, Electronics, and Information Engineering (EEIE 2023), 2023, Wuhan, China

Abstract

The advantage of cognitive radar over traditional radar is that it can use the prior information of the external environment to optimize the transmitted waveform at the next moment. The transmitted waveform can be designed using different optimization criteria according to the target detection task. Water-filling algorithm is the most widely used and classical algorithm in waveform design. However, due to the introduction of Lagrange operator, the search of the algorithm is difficult. Aiming at this problem, this paper introduces the Covariance Matrix Adaptation Evolution Strategy (CMA-ES) algorithm to solve the optimal waveform. Considering that the CMA-ES algorithm is an unconstrained optimization algorithm, and the optimal transmitted waveform designed according to the optimization criterion is a constrained function. This paper proposes a PCMA-ES algorithm that combines the adaptive penalty function with the CMA-ES algorithm. The penalty function can be designed to assign the highest fitness to the feasible solution while giving a slightly lower fitness to the infeasible solution with lower constraint violation, making full use of the information in the infeasible solution. The simulation results show that compared with the water-filling algorithm, the mutual information (MI) obtained by the PCMA-ES algorithm is increased.

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

Citation Download Citation

Xingjia Wang "Cognitive radar waveform design based on PCMA-ES algorithms", Proc. SPIE 12983, Second International Conference on Electrical, Electronics, and Information Engineering (EEIE 2023), 129830Q (15 January 2024); https://doi.org/10.1117/12.3017303

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