1. Kalkan, Yılmaz, "20 years of MIMO radar," IEEE Aerospace and Electronic Systems Magazine, Vol. 39, No. 3, 28-35, 2024. Google Scholar
2. Yu, Xianxiang, Xue Yao, Jing Yang, Lidong Zhang, Lingjiang Kong, and Guolong Cui, "Integrated waveform design for MIMO radar and communication via spatio-spectral modulation," IEEE Transactions on Signal Processing, Vol. 70, 2293-2305, 2022. Google Scholar
3. Wang, Xiangrong, Weitong Zhai, Xuan Zhang, Xianghua Wang, and Moeness G. Amin, "Enhanced automotive sensing assisted by joint communication and cognitive sparse MIMO radar," IEEE Transactions on Aerospace and Electronic Systems, Vol. 59, No. 5, 4782-4799, 2023. Google Scholar
4. Buzzi, Stefano, Emanuele Grossi, Marco Lops, and Luca Venturino, "Foundations of MIMO radar detection aided by reconfigurable intelligent surfaces," IEEE Transactions on Signal Processing, Vol. 70, 1749-1763, 2022. Google Scholar
5. Niu, Ben, Yongbo Zhao, and Derui Tang, "Waveform agile MIMO radar fast waveform design based on random arrangement of pulse slices," Signal Processing, Vol. 230, 109784, 2025. Google Scholar
6. Tang, Wen-Gen, Hong Jiang, Qi Zhang, and Huilin Jiang, "PSWF-based decoupled atomic norm minimization for DOD and DOA estimation in MIMO radar with arbitrary linear arrays," Signal Processing, Vol. 212, 109136, 2023. Google Scholar
7. Liu, Yifan, Xin Zhang, and Qiang Yang, "DOA estimation of multiple coherent targets using weight vector orthogonal decomposition in TDM-MIMO HF-radar," Remote Sensing, Vol. 15, No. 16, 4073, 2023. Google Scholar
8. Wen, Fangqing, Junpeng Shi, Guan Gui, Chau Yuen, Hikmet Sari, and Fumiyuki Adachi, "Joint DOD and DOA estimation for NLOS target using IRS-aided bistatic MIMO radar," IEEE Transactions on Vehicular Technology, Vol. 73, No. 10, 15798-15802, 2024. Google Scholar
9. Bui, Le Trong Phuoc, Nicola Anselmi, Giada Maria Battaglia, Tommaso Isernia, Paolo Rocca, and Andrea Francesco Morabito, "Synthesis of wideband reconfigurable array antennas for monopulse radar applications," Progress In Electromagnetics Research M, Vol. 106, 179-189, 2021. Google Scholar
10. Ma, Yue, Chen Miao, Yangying Zhao, and Wen Wu, "An MIMO radar system based on the sparse-array and its frequency migration calibration method," Sensors, Vol. 19, No. 16, 3580, 2019. Google Scholar
11. Liang, Can, Yanhua Wang, Zhuxi Yang, Xueyao Hu, Qiubo Pei, Wei Gu, and Liang Zhang, "Cooperative automotive radars with multi-aperture multiplexing MIMO sparse array design," Electronics, Vol. 11, No. 8, 1198, 2022. Google Scholar
12. Sayin, Alp, Edward G. Hoare, and Michail Antoniou, "Design and verification of reduced redundancy ultrasonic MIMO arrays using simulated annealing & genetic algorithms," IEEE Sensors Journal, Vol. 20, No. 9, 4968-4975, 2020. Google Scholar
13. Wang, Xin-Kuan, Gui-Bao Wang, and Lei Wang, "Pattern synthesis for different sparse planar arrays by a hybrid unconstrained-heuristic approach," IEEE Antennas and Wireless Propagation Letters, Vol. 22, No. 3, 631-635, 2022. Google Scholar
14. Battaglia, Giada M., Tommaso Isernia, Roberta Palmeri, and Andrea F. Morabito, "Four-beams-reconfigurable circular-ring array antennas for monopulse radar applications," Radio Science, Vol. 58, No. 9, 1-14, 2023. Google Scholar
15. Huang, Yan, Li Ma, Xutao Yu, Hui Zhang, Jie Li, and Xinsuo Xi, "MIMO antenna array design based on genetic algorithm," 2021 IEEE 4th International Conference on Electronic Information and Communication Technology (ICEICT), 406-409, Xi’an, China, Aug. 2021.
16. Zhang, Wei, Zi-Shu He, and Jun Li, "Optimization design of MIMO radar sparse array," Systems Engineering and Electronics, Vol. 35, No. 2, 299-303, 2013. Google Scholar
17. Feng, Chen, Haojian Ye, Hong Hong, E. Wang, and Xiaohua Zhu, "A hybrid algorithm for sparse antenna array optimization of MIMO radar," 2022 IEEE Radio and Wireless Symposium (RWS), 115-117, Las Vegas, NV, USA, Jan. 2022.
18. Srinivas, M. and L. M. Patnaik, "Adaptive probabilities of crossover and mutation in genetic algorithms," IEEE Transactions on Systems, Man, and Cybernetics, Vol. 24, No. 4, 656-667, 1994. Google Scholar
19. Liang, H., X. B. Li, and X. Y. Xu, "Array optimization for MIMO radar based on improved adaptive genetic algorithm," J. Microw., Vol. 29, No. 4, 12-19, 2013. Google Scholar
20. Li, Lei, Jianming Wang, Guangxin Wu, and Weijun Long, "Optimization of sparse array based on adaptive genetic algorithm," Modern Radar, Vol. 39, No. 03, 59-61, 2017. Google Scholar
21. Chen, Tao, Xilin Wang, Lin Shi, and Mengyu Shen, "Array sparse optimization method based on adaptive genetic algorithm," IET Conference Proceedings CP779, Vol. 2020, No. 9, 1271-1275, 2020.
22. Liu, Tianqu, Jinping Sun, Guohua Wang, and Yilong Lu, "A multi-objective quantum genetic algorithm for MIMO radar waveform design," Remote Sensing, Vol. 14, No. 10, 2387, 2022. Google Scholar
23. Yang, Hao, Peng Chen, Huaimin Zhou, and Jiangyuan Tan, "An efficient position optimization method based on improved genetic algorithm and machine learning for sparse array," AEU --- International Journal of Electronics and Communications, Vol. 179, 155312, 2024. Google Scholar
24. Battaglia, Giada M., Gennaro G. Bellizzi, Andrea F. Morabito, Gino Sorbello, and Tommaso Isernia, "A general effective approach to the synthesis of shaped beams for arbitrary fixed-geometry arrays," Journal of Electromagnetic Waves and Applications, Vol. 33, No. 18, 2404-2422, 2019. Google Scholar
25. Battaglia, Giada M., Andrea Francesco Morabito, Gino Sorbello, and Tommaso Isernia, "Mask-constrained power synthesis of large and arbitrary arraysas a few-samples global optimization," Progress In Electromagnetics Research C, Vol. 98, 69-81, 2020. Google Scholar
26. Lu, J.-S., Z.-K. Zhang, et al. "Optimized design of MIMO radar array pattern based on ant lion optimizer," Electronics Optics & Control, Vol. 28, No. 4, 77-81, 2021. Google Scholar