Blank2

  • Z. Yang, J. Li, P. Stoica, and L. Xie, "Sparse Methods for Direction-of-Arrival Estimation," in Academic Press Library in Signal Processing Volume 7, R. Chellappa and S. Theodoridis, Eds. Academic Press, 2018, pp. 509–581. [被引363次,瑞典科学院院士Mats Viberg邀稿并推荐为“有关稀疏波达方向估计技术的全面综述”,其中提出的“在网、离网、无网稀疏方法”命名与分类方式已成为领域标准]

Blank3

15篇代表性论文(全部列表参见Google Scholar

 

频谱分析/无限维压缩感知方向:

[1] Z. Yang and L. Xie, "On gridless sparse methods for line spectral estimation from complete and incomplete data," IEEE Transactions on Signal Processing, vol. 63, no. 12, pp. 3139–3153, June 15, 2015. [被引351次,无网稀疏频谱分析代表作]

[2] Z. Yang and L. Xie, "Exact joint sparse frequency recovery via optimization methods," IEEE Transactions on Signal Processing, vol. 64, no. 19, pp. 5145–5157, Oct 1, 2016. [被引292次,多通道频谱分析的原子范数方法]

[3] Z. Yang and L. Xie, "Enhancing sparsity and resolution via reweighted atomic norm minimization," IEEE Transactions on Signal Processing, vol. 64, no. 4, pp. 995–1006, Feb 15, 2016. [被引296次,多通道频谱分析的重加权原子范数方法]

[4] Z. Yang, L. Xie and P. Stoica, "Vandermonde decomposition of multilevel Toeplitz matrices with application to multidimensional super-resolution," IEEE Transactions on Information Theory, vol. 62, no. 6, pp. 3685–3701, June 2016. [被引294次,高维频谱分析的原子范数方法,其中解决了Carathéodory-Fejér定理高维形式公开问题,在数学与信息领域均被评价为“首次”]

[5] Z. Yang, J. Tang, Y. C. Eldar, and L. Xie, "On the sample complexity of multichannel frequency estimation via convex optimization," IEEE Transactions on Information Theory, vol. 65, no. 4, pp. 2302–2315, 2019. [多通道原子范数的平均性能理论]

[6] X. Wu, Z. Yang*, P. Stoica, and Z. Xu, "Maximum likelihood line spectral estimation in the signal domain: a rank-constrained structured matrix recovery approach," IEEE Transactions on Signal Processing, vol. 70, pp. 4156–4169, 2022. [频谱分析的信号域极大似然方法]

[7] X. Wu, Z. Yang*, and Z. Xu, "Multichannel frequency estimation in challenging scenarios via structured matrix embedding and recovery (StruMER)," IEEE Transactions on Signal Processing, vol. 71, 3242–3256, 2023. [多通道频谱分析的信号域极大似然方法]

[8] Z. Yang, Y.-L. Mo, and Z. Xu, "Separation-free spectral super-resolution via convex optimization," Applied and Computational Harmonic Analysis, vol. 71, pp. 101650, 2024. [无分辨率限制的频谱分析凸优化方法]

 

波达方向估计方向:

[9] Z. Yang, L. Xie, and C. Zhang, "Off-grid direction of arrival estimation using sparse Bayesian inference," IEEE Transactions on Signal Processing, vol. 61, no. 1, pp. 38–43, 2013. [被引923次,离网波达方向估计代表作]

[10] Z. Yang, L. Xie, and C. Zhang, "A discretization-free sparse and parametric approach for linear array signal processing," IEEE Transactions on Signal Processing, vol. 62, no. 19, pp. 4959–4973, Oct 1, 2014. [被引223次,无网稀疏波达方向估计代表作]

[11] Z. Yang, P. Stoica, and J. Tang, "Source resolvability of spatial-smoothing-based subspace methods: A Hadamard product perspective," IEEE Transactions on Signal Processing, vol. 67, no. 10, pp. 2543–2553, 2019. [空间平滑子空间方法的可辨识理论,其中解决了两奇异半正定矩阵Hadamard积的正定性判定公开问题,被数学家Roger Horn写入了本科线性代数教材]

[12] Z. Yang, "Nonasymptotic performance analysis of ESPRIT and spatial-smoothing ESPRIT," IEEE Transactions on Information Theory, vol. 69, no. 1, pp. 666–681, 2023. [经典ESPRIT与空间平滑ESPRIT方法的非渐近性能理论]

[13] X. Wu, Z. Yang*, and Z. Xu, "Multichannel frequency estimation with constant amplitude via convex structured low-rank approximation," SIAM Journal on Matrix Analysis and Applications, vol. 45, no. 3, pp. 1643–1668, 2024. [恒模信源波达方向估计的凸优化方法]

 

压缩感知方向:

[14] Z. Yang, C. Zhang, and L. Xie, "Robustly stable signal recovery in compressed sensing with structured matrix perturbation," IEEE Transactions on Signal Processing, vol. 60, no. 9, pp. 4658–4671, 2012. [被引173次,有结构性系统扰动的压缩感知理论]

[15] A. Maleki, L. Anitori, Z. Yang, and R.G. Baraniuk, "Asymptotic analysis of complex LASSO via complex approximate message passing (CAMP)," IEEE Transactions on Information Theory, vol. 59, no. 7, pp. 4290–4308, 2013. [被引320次,复数域压缩感知的相变理论,被压缩感知奠基人Donoho和Candes在论文中肯定]

 

 

 

学生代表性论文(与上面少量重复):

  1. T. Jiao, Y. Geng, Y. Chu, A. M.-C. So, and Z. Yang*, "Gaussian Blahut-Arimoto algorithm for capacity region calculation of Gaussian vector broadcast channels," submitted, 2025.

  2. T. Jiao, K. Wan, Z. Wei, Y. Geng, Y. Li, Z. Yang*, and G. Caire, "Information-theoretic limits of bistatic integrated sensing and communication," submitted, 2025.

  3. W. Zheng, Z. Yang*, and X. Wu, "Reweighted atomic norm minimization for line spectral estimation with one-bit samples," 2025.

  4. W. Wang, Z. Yang*, and J. Shi, "Fast and accurate two-dimentional direction-of-arrival estimation using a modified projected descent algorithm," submitted, 2025. 

  5. H. Xu and Z. Yang*, "Bit efficient Toeplitz covariance estimation," submitted, 2024.

  6. Y. Chu, W. Wang, S. Liu, Z. Wei, and Z. Yang*, "Downlink-uplink collaborative channel estimation for TDD massive MIMO communications," submitted, 2024.

  7. K. Wang, Z. Yang*, Z. Wei, "Fast and accurate traffic data recovery based on low-rankness and spatio-temporal smoothness," submitted, 2024.

  8. X. Wu, Z. Yang*, J.-F. Cai, and Z. Xu, "Fast and provable spectral super-resolution via low-rank Hankel-Toeplitz matirx factorization," submitted, 2024.

  9. W. Wang and Z. Yang*, "Sign-aided unlimited sampling for robust line spectral estimation," submitted, 2024.

  10. W. Chen, Z. Yang, Z. Wei, D.W.K. Ng, and M. Matthaiou, "RIS-aided MIMO Beamforming: Piece-Wise Near-field Channel Model," IEEE Transactions on Communications, 2025.

  11. Y.-L. Mo, W. Wang, J. Shi, and Z. Yang*, "Multichannel sparse recovery for constant modulus signals via convex optimization," IEEE Transactions on Aerospace and Electronic Systems, 2025.

  12. X. Wu, Z. Yang*, Z. Wei, R. Schober, and Z. Xu, "COFFEE: Covariance fitting and focusing for wideband direction-of-arrival estimation," IEEE Transactions on Signal Processing, vol. 72, pp. 5659-5674, 2024.

  13. Y. Chu, Z. Wei, Z. Yang*, and D. W. K. Ng, "Channel estimation for RIS-aided MIMO systems: A partially decoupled atomic norm minimization approach," IEEE Transactions on Wireless Communications, vol. 23, no. 11, pp. 16048-16061, 2024.

  14. X. Wu, Z. Yang*, and Z. Xu, "Multichannel frequency estimation with constant amplitude via convex structured low-rank approximation," SIAM Journal on Matrix Analysis and Applications, vol. 45, no. 3, pp. 1643–1668, 2024.

  15. X. Wu, Z. Yang*, Z. Wei, and Z. Xu, "Direction-of-arrival estimation for constant modulus signals using a structured matrix recovery technique," IEEE Transactions on Wireless Communications, vol. 23, no. 4, pp. 3117–3130, 2024.

  16. X. Wu, Z. Yang*, and Z. Xu, "Multichannel frequency estimation in challenging scenarios via structured matrix embedding and recovery (StruMER)," IEEE Transactions on Signal Processing, vol. 71, 3242–3256, 2023.

  17. Y. Chu, Z. Wei, and Z. Yang*, "New reweighted atomic norm minimization approach for line spectral estimation," Signal Processing, vol. 206, pp. 108897, May 2023.

  18. X. Wu, Z. Yang*, P. Stoica, and Z. Xu, "Maximum likelihood line spectral estimation in the signal domain: a rank-constrained structured matrix recovery approach," IEEE Transactions on Signal Processing, vol. 70, pp. 4156–4169, 2022.