教师名录
近五年主要科研成果:
一、学术论文:
[1] Y. Tian, Y. Feng, W. Liu, H. Chen and G. Wang, “Reconfigurable Intelligent Surface Aided DOA Estimation by a Single Receiving Antenna,” IEEE Transactions on Communications, vol. 73, no. 2, pp. 983-994, Feb. 2025. (TOP期刊)
[2] C. Duan, Y. Tian* and W. Liu, “Linear Shrinkage Coefficient-Based Source Number Estimation Using Semi-Supervised GAN With Small Samples,” IEEE Transactions on Aerospace and Electronic Systems, vol. 61, no. 1, pp. 1215-1223, Feb. 2025. (TOP期刊)
[3] Y. Tian, Z. Zhang, W. Liu, H. Chen and G. Wang, “Source Enumeration Utilizing Adaptive Diagonal Loading and Linear Shrinkage Coefficients,” IEEE Transactions on Signal Processing, vol. 72, pp. 2073-2086, 2024. (TOP期刊、宁大自然科学类顶刊)
[4] Z. Zhang, Y. Tian*, W. Liu and H. Chen, “Enumeration for a Large Number of Sources Based on a Two-Step Difference Operation of Linear Shrinkage Coefficients,” IEEE Transactions on Signal Processing, vol. 71, pp. 2283-2295, 2023. (TOP期刊、宁大自然科学类顶刊)
[5] Y. Tian, X. Gao, W. Liu, H. Chen, G. Wang and Y. Qin, “Localization of Mixed Far-Field and Near-Field Incoherently Distributed Sources Using Two-Stage RARE Estimator,” IEEE Transactions on Aerospace and Electronic Systems, vol. 59, no. 2, pp. 1482-1494, April 2023. (TOP期刊)
[6] Y. Tian, X. Gao, W. Liu, H. Chen, G and M. Jin, “Localization of Mixed Coherently and Incoherently Distributed Sources Based on Generalized Array Manifold”, Signal Processing, 2023, 209: 109038.
[7] Y. Tian, S. Liu, W. Liu, H. Chen and Z. Dong, “Vehicle Positioning With Deep-Learning-Based Direction-of-Arrival Estimation of Incoherently Distributed Sources,” IEEE Internet of Things Journal, vol. 9, no. 20, pp. 20083-20095, Oct. 2022. (TOP期刊)
[8] Y. Tian, W. Liu, H. Xu, S. Liu and Z. Dong, “2-D DOA Estimation of Incoherently Distributed Sources Considering Gain-Phase Perturbations in Massive MIMO Systems,” IEEE Transactions on Wireless Communications, vol. 21, no. 2, pp. 1143-1155, Feb. 2022. (TOP期刊)
[9] Y. Tian, X. Gao, W. Liu and H. Chen, “Phase Compensation-Based Localization of Mixed Far-Field and Near-Field Sources,” IEEE Wireless Communications Letters, vol. 11, no. 3, pp. 598-601, March 2022.
[10] Y. Tian, R. Wang, H. Chen, Y. Qin and M. Jin, “Real-Valued DOA Estimation Utilizing Enhanced Covariance Matrix With Unknown Mutual Coupling,” IEEE Communications Letters, vol. 26, no. 4, pp. 912-916, April 2022.
二、项目课题:
[1] 宁波市自然科学基金/一般项目,面向自动驾驶车辆协作定位的UM-MIMO阵列DOA估计技术研究 ,2024J232 ,2024.6-2027.5,主持;
[2] 企、事业单位委托项目,智能车辆协作定位技术开发,HK2024000254,2024.6-2026.5,主持;
[3] 浙江省自然科学基金/探索一般项目,6G车联网场景中面向智能车辆协作定位的DOA估计方法研究,LY23F010004,2023.1-2025.12,主持;
[4] 浙江省自然科学基金/探索一般项目,多维度近场 MIMO 雷达参数估计方法与性能界研究,LY23F010003,2023.1-2025.12,参与;
[5] 企、事业单位委托项目,激光传感器模组的无人车数据采集传输模块开发与测试,HK2022000188,2022.1-2022.5,主持;
[6] 国家自然科学基金/面上项目,基于侧信道可信融合的无线网络感知理论与关键技术研究,61772453 ,2018.1-2021.12,参与;
[7] 国家自然科学基金/青年基金,大阵列下基于稀疏相位恢 复和大维随机矩阵理论的稳健波达方向估计,61601398,2017.1-2019.12,主持;
[8] 国家自然科学基金/面上项目,基于相位恢复和非线性压缩感 知理论的SAR相位误差校正和成像方法研究,61571388 ,2016.1-2019.12,参与.
三、获奖情况:
1. 2021-2022年度,宁波市自然科学优秀论文三等奖