Search Results for author:
Found 29 papers, 5 papers with code
Precoder Design for User-Centric Network Massive MIMO with Matrix Manifold Optimization
In this paper, we investigate the precoder design for user-centric network (UCN) massive multiple-input multiple-output (mMIMO) downlink with matrix manifold optimization.
SSF-Net: Spatial-Spectral Fusion Network with Spectral Angle Awareness for Hyperspectral Object Tracking
Hyperspectral video (HSV) offers valuable spatial, spectral, and temporal information simultaneously, making it highly suitable for handling challenges such as background clutter and visual similarity in object tracking.
Robust Multidimentional Chinese Remainder Theorem for Integer Vector Reconstruction
To address this problem, a robust MD Chinese remainder theorem (CRT) was recently proposed for a special class of moduli, where the remaining integer matrices left-divided by a greatest common left divisor (gcld) of all the moduli are pairwise commutative and coprime.
Delay Doppler Transform
This letter is to introduce delay Doppler transform (DDT) for a time domain signal.
Understanding Turbo Codes: A Signal Processing Study
The limit of the decoded noise mean power of the iterative decoding of a turbo code with two parallel codes with their rates less than 1/2 is one third of the noise power before the decoding, which can not be achieved by any non-turbo codes with the same rate.
A New OFDM System for IIR Channels
The guard interval and CP lengths are the same and not smaller than the orders of polynomials $A(z)$ and $B(z)$.
3-D Positioning and Resource Allocation for Multi-UAV Base Stations Under Blockage-Aware Channel Model
Based on the proposed channel model, we formulate the joint optimization problem of UAV three-dimensional (3-D) positioning and resource allocation, by power allocation, user association, and subcarrier allocation, to maximize the minimum achievable rate among users.
LO-Det: Lightweight Oriented Object Detection in Remote Sensing Images
Specifically, a channel separation-aggregation (CSA) structure is designed to simplify the complexity of stacked separable convolutions, and a dynamic receptive field (DRF) mechanism is developed to maintain high accuracy by customizing the convolution kernel and its perception range dynamically when reducing the network complexity.
Task-wise Sampling Convolutions for Arbitrary-Oriented Object Detection in Aerial Images
Specifically, sampling positions of the localization convolution in TS-Conv are supervised by the oriented bounding box (OBB) prediction associated with spatial coordinates, while sampling positions and convolutional kernel of the classification convolution are designed to be adaptively adjusted according to different orientations for improving the orientation robustness of features.
Terahertz-Band Near-Space Communications: From a Physical-Layer Perspective
Facilitated by rapid technological development of the near-space platform stations (NSPS), near-space communication (NS-COM) is envisioned to play a pivotal role in the space-air-ground integrated network for sixth-generation (6G) communications and beyond.
Channel Estimation for LEO Satellite Massive MIMO OFDM Communications
In addition, we devise a novel two-stage channel estimation (TSCE) approach, in which the received signals at the satellite are manipulated with per-subcarrier space domain processing followed by per-user frequency domain processing.
LEO Satellite Access Network (LEO-SAN) Towards 6G: Challenges and Approaches
With the rapid development of satellite communication technologies, the space-based access network has been envisioned as a promising complementary part of the future 6G network.
Near Space Communications (NS-COM): A New Regime in Space-Air-Ground Integrated Network (SAGIN)
Precipitated by the technological innovations of the near-space platform stations (NSPS), the near space communication (NS-COM) network has emerged as an indispensable part of the next-generation space-air-ground integrated network (SAGIN) that facilitates ubiquitous coverage and broadband data transfer.
A three-dimensional dual-domain deep network for high-pitch and sparse helical CT reconstruction
By embedding our implementation into the network, we propose an end-to-end deep network for the high pitch helical CT reconstruction with sparse detectors.
Multi-Layered Recursive Least Squares for Time-Varying System Identification
It is shown that the mean square error (MSE) of the m-RLS estimate can be minimized by selecting the optimum number of layers.
Joint 3-D Positioning and Power Allocation for UAV Relay Aided by Geographic Information
To improve communication capacity, we first model the blockage effect caused by buildings according to the three-dimensional (3-D) geographic information.
A General Gaussian Heatmap Label Assignment for Arbitrary-Oriented Object Detection
Specifically, an anchor-free object-adaptation label assignment (OLA) strategy is presented to define the positive candidates based on two-dimensional (2-D) oriented Gaussian heatmaps, which reflect the shape and direction features of arbitrary-oriented objects.
Ranked #31 on
Object Detection In Aerial Images
on DOTA
(using extra training data)
My Experience in Physical Layer Communications
I feel that I have been very lucky since I have experienced the most dynamic 30 years on electronics in the past.
A Survey on Millimeter-Wave Beamforming Enabled UAV Communications and Networking
The utilization of the millimeter-wave (mmWave) frequency bands is a promising direction for UAV communications, where large antenna arrays can be packed in a small area on the UAV to perform three-dimensional (3D) beamforming.
An Adaptive Receiver for Underwater Acoustic Full-Duplex Communication with Joint Tracking of the Remote and Self-Interference Channels
Full-duplex (FD) communication is a promising candidate to address the data rate limitations in underwater acoustic (UWA) channels.
$ε$-Arithmetics for Real Vectors and Linear Processing of Real Vector-Valued Signals with Real Vector-Valued Coefficients
In this paper, we introduce a new concept, namely $\epsilon$-arithmetics, for real vectors of any fixed dimension.
Information Theory Information Theory
A New Weighting Scheme for Fan-beam and Circle Cone-beam CT Reconstructions
In this paper, we first present an arc based algorithm for fan-beam computed tomography (CT) reconstruction via applying Katsevich's helical CT formula to 2D fan-beam CT reconstruction.
A model-guided deep network for limited-angle computed tomography
In this paper, we first propose a variational model for the limited-angle computed tomography (CT) image reconstruction and then convert the model into an end-to-end deep network. We use the penalty method to solve the model and divide it into three iterative subproblems, where the first subproblem completes the sinograms by utilizing the prior information of sinograms in the frequency domain and the second refines the CT images by using the prior information of CT images in the spatial domain, and the last merges the outputs of the first two subproblems.
MMSE Channel Estimation for Two-Port Demodulation Reference Signals in New Radio
In this paper, we firstly propose a minimum mean square error (MMSE) scheme with full priori knowledge (F-MMSE) to achieve the channel estimation of two-port DMRS in NR.
On BT-limited Signals
In this paper, we introduce and characterize a subspace of bandlimited signals.
Self-Interference Channel Characterization in Underwater Acoustic In-Band Full-Duplex Communications Using OFDM
However, in UWA-IBFD, because of reflections from the surface and bottom and the inhomogeneity of the water, a significant part of the transmitted signal returns back to the IBFD receiver.
A deep network for sinogram and CT image reconstruction
A CT image can be well reconstructed when the sampling rate of the sinogram satisfies the Nyquist criteria and the sampled signal is noise-free.
A wavelet frame coefficient total variational model for image restoration
In this paper, we propose a vector total variation (VTV) of feature image model for image restoration.
Radial Velocity Retrieval for Multichannel SAR Moving Targets with Time-Space Doppler De-ambiguity
Accordingly, the multichannel SAR systems with different parameters are investigated in three different cases with diverse Doppler ambiguity properties, and a multi-frequency SAR is then proposed to obtain the RV estimation by solving the ambiguity problem based on Chinese remainder theorem (CRT).
