Results 91 to 100 of about 24,252 (205)
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
UAV‐Radar‐Based Through‐Wall Human Activity Recognition via Frequency‐Selective STFT‐ResNet
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
Target Localization Accuracy Gain in MIMO Radar Based Systems
This paper presents an analysis of target localization accuracy, attainable by the use of MIMO (Multiple-Input Multiple-Output) radar systems, configured with multiple transmit and receive sensors, widely distributed over a given area.
Er M. Haimovich +3 more
core +3 more sources
Robust Beamforming for ISAC Systems via Probability of Detection Optimisation
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
Analysis of Direction Finding Performance of Interferometer for Frequency Division Orthogonal MIMO Radar [PDF]
The spatially synthesized signal pulse of the frequency division orthogonal MIMO radar has the characteristics of time-varying envelope and space-time coupling, which provides a new possibility for actively countering direction finding of the passive ...
Feng Yilun, Jiang Yanwen, Zeng Guilan, Fan Hongqi
doaj +1 more source
FDA‐MIMO Range and Angle Estimation Based on Hybrid Tensor Ring and CP Decomposition
The graphical abstract illustrates the RMSE performance of range and angle estimation versus SNR for different array configurations. The proposed method consistently achieves lower estimation error than existing approaches and closely matches the Cramér‐Rao bound across the entire SNR range, demonstrating its superior accuracy.
Junyuan Yue +3 more
wiley +1 more source
Performance Analysis of Joint Radar-Communication System Based on FDA-MIMO Radar
Faced with the increasingly complicated electromagnetic environment, the joint design of radar and communication system has been an effective solution to save spectrum resources and reduce the complexity of system hardware.
Mengjiao Li, Wen-Qin Wang
doaj +1 more source
Low‐Complexity DOA Estimation: Combining VSSLMS With FFT Spectrum Estimation
This letter presents a novel, low‐complexity framework for DOA estimation. The proposed method achieves a significant reduction in computational complexity—from O(ML) to O(M log L)—compared to conventional SSE methods. Crucially, as illustrated in the accompanying figure, the method maintains high estimation accuracy, outperforming standard SSE‐based ...
Lei Sun +4 more
wiley +1 more source
MIMO Radar Target Localization and Performance Evaluation under SIRP Clutter
Multiple-input multiple-output (MIMO) radar has become a thriving subject of research during the past decades. In the MIMO radar context, it is sometimes more accurate to model the radar clutter as a non-Gaussian process, more specifically, by using the ...
Korso, Mohammed Nabil El +2 more
core
Integrated radar-communication system based on multiple input and multiple output (MIMO) shares the hardware resource and spectrum to fulfill radar and communication functions, simultaneously.
Renhui Xu +3 more
doaj +1 more source

