Search Results for author:
Found 19 papers, 0 papers with code
Compressed Sensing Radar Detectors based on Weighted LASSO
Based on this estimator, we construct a detector, termed the debiased weighted LASSO detector (DWLD), for CS radar systems and prove its advantages.
Hybrid RIS-Assisted MIMO Dual-Function Radar-Communication System
Dual-function radar-communication (DFRC) technology is emerging in next-generation wireless systems.
a cognitive frequency allocation strategy for multi-carrier radar against communication interference
To address this challenge, we use a novel iteratively selecting technique which breaks a difficult decision task into several easy tasks.
Direction Finding in Partly Calibrated Arrays Exploiting the Whole Array Aperture
To this end, we exploit the orthogonality of the signals of partly calibrated arrays.
Compressed sensing radar detectors under the row-orthogonal design model: a statistical mechanics perspective
Such detector can analytically provide the threshold according to given false alarm rate, which is not possible with the conventional CS detector, and the detection performance is proved to be better than that of the traditional LASSO detector.
Physics Embedded Machine Learning for Electromagnetic Data Imaging
To benefit from prior knowledge in big data and the theoretical constraint of physical laws, physics embedded ML methods for EM imaging have become the focus of a large body of recent work.
Theoretical Linear Convergence of Deep Unfolding Network for Block-Sparse Signal Recovery
In this paper, we consider the recovery of the high-dimensional block-sparse signal from a compressed set of measurements, where the non-zero coefficients of the recovered signal occur in a small number of blocks.
Block-Sparse Recovery Network for Two-Dimensional Harmonic Retrieval
As a typical signal processing problem, multidimensional harmonic retrieval (MHR) has been adapted to a wide range of applications in signal processing.
Transmit Design for Joint MIMO Radar and Multiuser Communications with Transmit Covariance Constraint
With this constraint, we formulate and solve the signal-to-interference-plus-noise ratio (SINR) balancing problem for multiuser transmit beamforming via convex optimization.
FRaC: FMCW-Based Joint Radar-Communications System via Index Modulation
The proposed FMCW-based radar-communications system (FRaC) operates at reduced cost and complexity by transmitting with a reduced number of radio frequency modules, combined with narrowband FMCW signalling.
Structured LISTA for Multidimensional Harmonic Retrieval
In this paper, we show that the mutual inhibition matrix of a MHR problem naturally has a Toeplitz structure, which means that the degrees of freedom (DoF) of the matrix can be reduced from a quadratic order to a linear order.
Phase Transitions in Frequency Agile Radar Using Compressed Sensing
FAR has improved anti-jamming performance over traditional pulse-Doppler radars under complex electromagnetic circumstances.
Unambiguous Delay-Doppler Recovery from Random Phase Coded Pulses
Our method encodes each pulse with a random phase, varying from pulse to pulse, and then processes the received samples jointly to resolve the range ambiguity.
A Random Antenna Subset Selection Jamming Method against Multistatic Radar System
Multistatic radar system (MSRS) is considered an effective scheme to suppress mainlobe jamming, since it has higher spatial resolution enabling jamming cancellation from spatial domain.
Designing the Waveform Bandwidth and Time Duration of Automotive Radars for Better Collision Warning Performance
Then, the waveform parameters are designed with a limit on the TBP to optimize the system performance.
Spatial Modulation for Joint Radar-Communications Systems: Design, Analysis, and Hardware Prototype
For the radar subsystem, our experiments show that the spatial agility induced by the GSM transmission improves the angular resolution and reduces the sidelobe level in the transmit beam pattern compared to using fixed antenna allocations.
Decentralized Automotive Radar Spectrum Allocation to Avoid Mutual Interference Using Reinforcement Learning
In this paper, a decentralized spectrum allocation approach is presented to avoid mutual interference among automotive radars.
Theoretical Analysis for Extended Target Recovery in Randomized Stepped Frequency Radars
Randomized Stepped Frequency Radar (RSFR) is very attractive for tasks under complex electromagnetic environment.
Cognitive Radar Using Reinforcement Learning in Automotive Applications
The concept of cognitive radar (CR) enables radar systems to achieve intelligent adaption to a changeable environment with feedback facility from receiver to transmitter.
