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IET Communications, Volume 20, Issue 1, January/December 2026.This paper proposes a reinforcement learning–based framework for robust modulation classification and resource management in non‐orthogonal multiple access (NOMA) systems. By integrating Q‐learning, deep reinforcement learning, and proximal policy optimisation, the approach enhances spectral efficiency, mitigates interference, and improves ...
Mohammed M. Alammar +3 more
wiley +1 more source
Compressed Sensing in On‐Grid MIMO Radar [PDF]
The Scientific World Journal, 2015 The accurate detection of targets is a significant problem in multiple‐input multiple‐output (MIMO) radar. Recent advances of Compressive Sensing offer a means of efficiently accomplishing this task. The sparsity constraints needed to apply the techniques of Compressive Sensing to problems in radar systems have led to discretizations of the target ...
openaire +3 more sources
IET Communications, Volume 20, Issue 1, January/December 2026.ABSTRACT Millimeter‐wave (mmWave) Internet‐of‐Vehicles (IoV) communications rely on large antenna arrays to combat severe path loss and to provide high beamforming gains. However, practical vehicular deployments often adopt analog or hybrid beamforming with constant‐modulus constraints, leading to a highly non‐convex joint beamforming design problem ...
Haowen Zheng +4 more
wiley +1 more source
Fundamental aspects of netted radar performance
, 2010 Netted radar employs several spatially distributed transmitters and receivers for information retrieval. This system topology offers many advantages over traditional monostatic and bistatic systems which use a single transmitter and a single receiver ...
Teng, Y.
core
UAV‐Radar‐Based Through‐Wall Human Activity Recognition via Frequency‐Selective STFT‐ResNet
Electronics Letters, Volume 62, Issue 1, January/December 2026.This letter presents a UAV‐mounted radar system for through‐wall human activity recognition in high‐rise buildings. By combining STFT‐based spectrogram processing with a frequency‐selective ResNet18 network, the method effectively filters noisy subcarriers and classifies activities with high accuracy. Experimental results demonstrate 98.08% recognition
Chenghao Wang +4 more
wiley +1 more source
A MIMO Radar-Based Metric Learning Approach for Activity Recognition
, 2023 11681173Human activity recognition is seen of great importance in the medical and surveillance fields. Radar has shown great feasibility for this field based on the captured micro-Doppler (μ-D) signatures. In this paper, a MIMO radar is used to formulate
Metwally, Omar +4 more
core +1 more source
Robust Beamforming for ISAC Systems via Probability of Detection Optimisation
Electronics Letters, Volume 62, Issue 1, January/December 2026.We propose a two‐step robust beamforming design for ISAC that maximises multi‐target detection probability while satisfying multi‐user SINR and per‐antenna power constraints. A sensing‐only Riemannian optimisation on the oblique manifold shapes the transmit covariance, followed by SDR‐based reconstruction to enforce communication guarantees ...
Yong Wang, Xianren Kong
wiley +1 more source
Digital Beamforming and MIMO SAR: Review and New Concepts
, 2012 Spaceborne Synthetic Aperture Radar (SAR) is a unique tool for large scale Earth observation, but the current generation of SAR sensors suffers from some fundamental limitations with regard to their imaging and mapping capabilities.
Villano, Michelangelo +10 more
core
Generalising the co-array, for SAR and MIMO radar
, 2015 We describe the relationship between far field pattern synthesis for the co-array and the SAR array; showing the application of these to MIMO radar pattern synthesis.
Troy Kilpatrick +3 more
core +1 more source
An Orthogonal Waveform Scheme for Imaging MIMO-Radar Applications
, 2013 Synthetic Aperture Radar (SAR) based on Digital Beamforming (DBF) belongs to the family of Multi-Modal Radar Systems (MMRSs) which offer higher operational flexibility and improved performance compared to conventional radar systems using analog beam ...
Patyuchenko, Anton +4 more
core