@inproceedings{37352a67bce74f19b506a05796b4d47d,
title = "Adaptive Waveform Design for Cognitive Radar Target Detection with Constant Modulus Constraint",
abstract = "Waveform design is a critical part in cognitive radar to improve the radar performance. In this paper, an adaptive waveform design method based on maximizing the signal to clutter plus noise ratio (SCNR) is proposed, which aims at optimizing the target detection performance. Moreover, to satisfy the practical application, the constant modulus constraint is taken into account. As the first step of the method, the optimal energy spectral density (ESD) of transmit signal is calculated, which suppresses the clutter via the energy allocation. After that, the constant modulus signal is synthesized to approximate the optimal ESD using alternating projection algorithm. The simulation results demonstrate the effectiveness of the proposed method.",
keywords = "cognitive radar, constant modulus, maximizing SCNR, waveform design",
author = "Caihao Wu and Chuan Huang and Yaowen Li and Feifeng Liu and Yu Liu and You He",
note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 2nd IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024 ; Conference date: 22-11-2024 Through 24-11-2024",
year = "2024",
doi = "10.1109/ICSIDP62679.2024.10868382",
language = "English",
series = "IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024",
address = "United States",
}