76 citations · 214 across the 23 of their papers we have counts for
23 papers
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…
Transmit Beampattern Synthesis for Active RIS-Aided MIMO Radar via Waveform and Beamforming Optimization
Shengyao Chen, Minghui He, Longyao Ran +4
In conventional colocated multiple-input multiple-output (MIMO) radars, practical waveform constraints including peak-to-average power ratio, constant or bounded modulus lead to a…
Reconfigurable Intelligent Surface-Enabled Array Radar for Interference Mitigation
Shengyao Chen, Qi Feng, Longyao Ran +2
Conventional active array radars often jointly design the transmit and receive beamforming for effectively suppressing interferences. To further promote the interference suppressio…
TransMUSIC: A Transformer-Aided Subspace Method for DOA Estimation with Low-Resolution ADCs
Junkai Ji, Wei Mao, Feng Xi +1
Direction of arrival (DOA) estimation employing low-resolution analog-to-digital convertors (ADCs) has emerged as a challenging and intriguing problem, particularly with the rise i…
LiQuiD-MIMO Radar: Distributed MIMO Radar with Low-Bit Quantization
Yikun Xiang, Feng Xi, Shengyao Chen
Distributed MIMO radar is known to achieve superior sensing performance by employing widely separated antennas. However, it is challenging to implement a low-complexity distributed…
Time Encoding Sampling of Bandpass Signals
Zhong Liu, Feng Xi, Shengyao Chen
This paper investigates the problem of sampling and reconstructing bandpass signals using time encoding machine(TEM). It is shown that the sampling in principle is equivalent to pe…
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…
On the Mutual Interference between Spaceborne SARs: Modeling, Characterization, and Mitigation
Huizhang Yang, Mingliang Tao, Shengyao Chen +2
Since by the International Telecommunications Union (ITU) regulatory the radio spectrum available to spaceborne synthetic aperture radar (SAR) is restricted to certain limited freq…
Direction Finding of Electromagnetic Sources on a Sparse Cross-Dipole Array Using One-Bit Measurements
Zhiyong Cheng, Shengyao Chen, Qibin Shen +2
Sparse array arrangement has been widely used in vector-sensor arrays because of increased degree-of-freedoms for identifying more sources than sensors. For large-size sparse vecto…
Non-Common Band SAR Interferometry via Compressive Sensing
Huizhang Yang, Chengzhi Chen, Shengyao Chen +2
To avoid decorrelation, conventional synthetic aperture radar interferometry (InSAR) requires that interferometric images should have a common spectral band and the same resolution…
Gridless Parameter Estimation for One-Bit MIMO Radar with Time-Varying Thresholds
Feng Xi, Yijian Xiang, Shengyao Chen +1
We investigate the one-bit MIMO (1b-MIMO) radar that performs one-bit sampling with a time-varying threshold in the temporal domain and employs compressive sensing in the spatial a…
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…
Supreme Local Lyapunov Exponents and Chaotic Impulsive Synchronization
ShengYao Chen, Feng Xi, Zhong Liu
Impulsively synchronized chaos with criterion from conditional Lyapunov exponent is often interrupted by desynchronized bursts. This is because the Lyapunov exponent cannot charact…
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…