activity
20152026
most citedOn the Mutual Interference between Spaceborne SARs: Modeling, Characterization, and Mitigation

63 citations · 70 across the 11 of their papers we have counts for

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Showing cs.ITShow all

7 papers · 1 filter

cs.IT2026

Fundamental Limits of Adaptive Beamforming Under Finite Training

Zhiyong Cheng, Shengyao Chen, Di Song

Finite training reduces the output signal-to-interference-plus-noise ratio (SINR) of an adaptive beamformer, and a natural question is how much of this loss is unavoidable. This pa…

cs.IT2022

Space-Time Adaptive Processing Using Random Matrix Theory Under Limited Training Samples

Di Song, Shengyao Chen, Feng Xi +1

Space-time adaptive processing (STAP) is one of the most effective approaches to suppressing ground clutters in airborne radar systems. It basically takes two forms, i.e., full-dim…

cs.IT2018

Radar Interferometry using Two Images with Different Resolutions

Huizhang Yang, Chengzhi Chen, Shengyao Chen +2

Radar interferometry usually exploits two complex-valued radar images with the same resolution to extract terrain elevation information. This paper considers the interferometry usi…

cs.IT2018

Quadrature compressive sampling SAR imaging

Huizhang Yang, Shengyao Chen, Feng Xi +1

This paper presents a quadrature compressive sampling (QuadCS) and associated fast imaging scheme for synthetic aperture radar (SAR). Different from other analog-to-information con…

cs.IT20177 cited

A General and Yet Efficient Scheme for Sub-Nyquist Radar Processing

Shengyao Chen, Feng Xi, Zhong Liu

We study the target parameter estimation for sub-Nyquist pulse-Doppler radar. Several past works have addressed this problem but either have low estimation accuracy for off-grid ta…

cs.IT2015

Gridless Quadrature Compressive Sampling with Interpolated Array Technique

Feng Xi, Shengyao Chen, Yimin D. Zhang +1

Quadrature compressive sampling (QuadCS) is a sub-Nyquist sampling scheme for acquiring in-phase and quadrature (I/Q) components in radar. In this scheme, the received intermediate…