977 citations · 2k across the 26 of their papers we have counts for
26 papers
Information-Theoretic Limits of Bistatic Integrated Sensing and Communication
Tian Jiao, Kai Wan, Zhiqiang Wei +4
Bistatic sensing refers to scenarios where the transmitter (illuminating the target) and the sensing receiver (estimating the target state) are physically separated, in contrast to…
Nonasymptotic Performance Analysis of Direct-Augmentation and Spatial-Smoothing ESPRIT for Localization of More Sources Than Sensors Using Sparse Arrays
Zai Yang, Kaijie Wang
Direction augmentation (DA) and spatial smoothing (SS), followed by a subspace method such as ESPRIT or MUSIC, are two simple and successful approaches that enable localization of…
Separation-Free Spectral Super-Resolution via Convex Optimization
Zai Yang, Yi-Lin Mo, Gongguo Tang +1
Atomic norm methods have recently been proposed for spectral super-resolution with flexibility in dealing with missing data and miscellaneous noises. A notorious drawback of these…
A Robust and Statistically Efficient Maximum-Likelihood Method for DOA Estimation Using Sparse Linear Arrays
Zai Yang, Xinyao Chen, Xunmeng Wu
A recent trend of research on direction-of-arrival (DOA) estimation is to localize more uncorrelated sources than sensors by using a proper sparse linear array (SLA) and the Toepli…
Nonasymptotic performance analysis of ESPRIT and spatial-smoothing ESPRIT
Zai Yang
This paper is concerned with the problem of frequency estimation from multiple-snapshot data. It is well-known that ESPRIT (and spatial-smoothing ESPRIT in presence of coherent sou…
New Low Rank Optimization Model and Convex Approach for Robust Spectral Compressed Sensing
Zai Yang, Xunmeng Wu
This paper investigates recovery of an undamped spectrally sparse signal and its spectral components from a set of regularly spaced samples within the framework of spectral compres…