Research

Radar and satellite observations provide complementary measurements of target motion, atmospheric dynamics, and ionospheric electron density. A central scientific challenge is to recover meaningful physical parameters from measurements that are indirect, noisy, incomplete, and constrained by sensing geometry and system resources. The research program is organized around one methodological direction and two application directions:

Estimation theory provides the common foundation: performance bounds describe identifiability and attainable accuracy, while estimator algorithms turn observations into estimates under specified models and constraints. Atmospheric wind-field sensing and ionospheric tomography place these tools in two different physical settings, where measurement geometry, environmental variability, and instrument limitations determine which assumptions remain valid. Discrepancies between theoretical predictions and observations therefore motivate new models, bounds, and algorithms, while the application problems provide concrete tests of theoretical claims.

Accepted/Published papers

Journal Papers

J10. D. Zheng, W. Zhou, L. Wang, Y. Wang, C. Wang^*, and Z. Xiong, "GNSS-TEC driven E-CHAIM for enhanced PALSAR ionospheric tomography," Journal of Geophysical Research: Space Physics, vol. 131, no. 5, Art. no. e2026JA035056, 2026.

J9. Z. Zou, Z. Lyu, Z. Ding, Y. Yang, and L. Wang^*, "Antenna contribution based mitigation of short-term discontinuities in horizontal winds retrieved by MF radar," Chinese Journal of Radio Science, 2026 (in Chinese). Accepted

J8. Y. Li, W. Yi, L. Luo, Y. Pan, and L. Wang^*, "Meteor trail characteristics relevant to meteor burst communications observed by two meteor radars in Yunnan, Southwest China," China Communications, vol. 23, no. 5, pp. 185-196, 2026.

J7. Y. Zhang, L. Wang^*, J. Wei, Z. Chang, L. Lu, J. Chen, and N. Li, "Estimation algorithm of delay correlation parameters for medium frequency radar based on median filtering," Chinese Journal of Radio Science, vol. 40, no. 2, pp. 395-404, 2025 (in Chinese).

J6. Z. Zou, L. Wang^*, J. Wei, Z. Tang, X. Song, J. Zhu, J. Chen, and N. Li, "New denoising method based on the contribution value parameters of the medium frequency radar antenna," Chinese Journal of Space Science, vol. 45, no. 3, pp. 820-828, 2025 (in Chinese).

J5. C. Wang^*, H. Zhao, L. Wang, L. Cao, Z. Xing, and Y. Zhang, "GPS-based ionospheric tomography from the combination of PolSAR and E-CHAIM," IEEE Transactions on Geoscience and Remote Sensing, vol. 62, pp. 1-14, 2024.

J4. C. Wang^*, L. Wang, H. Zhao, P. Xiao, L. Chen, and L. Cao, "Ionospheric electron density reconstruction based on space-borne SAR in Alaska regions," IEEE Geoscience and Remote Sensing Letters, vol. 21, pp. 1-1, 2024.

J3. H. Zhao, L. Wang, Z. Xu, J. Feng, Y. Zhang, H. Li, Y. Wang, and C. Wang^*, "Improved computerized ionospheric tomography based on GPS and PALSAR data," Journal of Geophysical Research: Space Physics, vol. 129, no. 12, 2024.

J2. L. Wang, Q. He^*, and H. Li, "Joint design for illuminator of opportunity selection and receiver deployment in the passive MIMO radar system," Chinese Journal of Radio Science, vol. 38, no. 2, pp. 253-260, 2023 (in Chinese).

J1. L. Wang, Q. He^*, and H. Li, "Transmitter selection and receiver placement for target parameter estimation in cooperative radar-communications system," IET Signal Processing, vol. 16, no. 7, pp. 776-787, 2022.

Conference Papers

C4. L. Wang, Q. He^*, and H. Li, "Cooperative radar-communications system with reduced-complexity: A combined transmitter selection and receiver deployment approach," in Proc. Eur. Conf. Signal Process. (EUSIPCO), 2022.

C3. Z. Zhai, Q. Xu, L. Wang, and X. Zhang, "Simplified expression for Ziv-Zakai bound in MIMO radar systems," in Proc. 5th Int. Conf. Communication and Information Systems (ICCIS), 2021, pp. 1-5.

C2. L. Wang, Q. He^*, and H. Li, "Generalized Cramer-Rao bound for passive MIMO radar multi-target parameter estimation," in Proc. IEEE Int. Symp. Antennas Propag. and USNC-URSI Radio Sci. Meeting, 2021, pp. 1237-1238.

C1. L. Wang, Q. He^*, R. S. Blum, and H. Li, "Joint parameter estimation employing coherent passive MIMO radar," in Proc. IET International Radar Conference (IRC 2018), The Journal of Engineering, vol. 2019, no. 20, pp. 6859-6862, 2019. (Best paper Award)