76 citations · 240 across the 21 of their papers we have counts for
12 papers · 1 filter
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…
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…
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…
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…
A General Sequential Delay-Doppler Estimation Scheme for Sub-Nyquist Pulse-Doppler Radar
Shengyao Chen, Feng Xi, Zhong Liu
Sequential estimation of the delay and Doppler parameters for sub-Nyquist radars by analog-to-information conversion (AIC) systems has received wide attention recently. However, th…
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…
Segment-Sliding Reconstruction of Pulsed Radar Echoes with Sub-Nyquist Sampling
Suling Zhang, Feng Xi, Shengyao Chen +2
It has been shown that analog-to-information con- version (AIC) is an efficient scheme to perform sub-Nyquist sampling of pulsed radar echoes. However, it is often impractical, if…
Quadrature Compressive Sampling for Radar Signals
Feng Xi, Shengyao Chen, Zhong Liu
Quadrature sampling has been widely applied in coherent radar systems to extract in-phase and quadrature (I and Q) components in the received radar signal. However, the sampling is…
Pulse-Doppler Signal Processing with Quadrature Compressive Sampling
Chao Liu, Feng Xi, Shengyao Chen +1
Quadrature compressive sampling (QuadCS) is a newly introduced sub-Nyquist sampling for acquiring inphase and quadrature (I/Q) components of radio-frequency signals. For applicatio…
Chaotic Analog-to-Information Conversion with Chaotic State Modulation
ShengYao Chen, Feng Xi, Zhong Liu
Chaotic compressive sensing is a nonlinear framework for compressive sensing. Along the framework, this paper proposes a chaotic analog-to-information converter, chaotic modulation…
Chaotic Analog-to-Information Conversion: Principle and Reconstructability with Parameter Identifiability
Feng Xi, Sheng Yao Chen, Zhong Liu
This paper proposes a chaos-based analog-to-information conversion system for the acquisition and reconstruction of sparse analog signals. The sparse signal acts as an excitation t…
A Compressed Sensing Framework of Frequency-Sparse Signals through Chaotic Systems
Zhong Liu, Shengyao Chen, Feng Xi
This paper proposes a compressed sensing (CS) framework for the acquisition and reconstruction of frequency-sparse signals with chaotic dynamical systems. The sparse signal is acti…