Results 61 to 70 of about 6,373 (171)
This paper investgates a unmanned aerial vehicle‐assisted non‐orthogonal multiple access‐integrated sensing and communication system, which fuses the UAV's echo signal and target position by employing the extended Kalman filter algorithum to achieve high‐precision prediction of the target trajectory.
Dongsheng Han, Zian Wang, Yan Wang
wiley +1 more source
Adaptive Phase Rolling for Opportunistic Beamforming in OFDMA Systems with a Small Number of Users
The performance of opportunistic beamforming might be degraded if the number of users is small. This paper proposes an adaptive opportunistic beamforming technique for orthogonal frequency division multiple access systems, which can produce good results ...
Minjoong Rim
doaj +1 more source
This paper addresses channel estimation in mmWave (millimetre wave) hybrid MIMO (multiple‐input multiple‐output) systems impaired by residual transceiver hardware nonidealities, modelled as additive non‐Gaussian noise via Bussgang decomposition. A hyperparameter‐free maximum Versoria criterion (MVC)‐based channel estimator is proposed, featuring a ...
Rangeet Mitra +5 more
wiley +1 more source
Sparsity-Based Non-Stationary Clutter Suppression Technique for Airborne Radar
Conventional space-time adaptive processing (STAP) technique can achieve perfect performance when applied to side-looking airborne radar (SLAR), where the clutter is relatively stationary, whereas it suffers significant degradation for non-SLAR due to ...
Keqing Duan +4 more
doaj +1 more source
This research proposes a Regularised Hyperparameter Bilevel Optimisation with Continual Learning‐based Deep Neural Network (RHBO‐CLDNN) for beamforming in an Ultra‐Wide Band (UWB) system. The RHBO ensures the hyperparameter efficiency at both upper and lower levels, which allows DNN to fine‐tune the unique characteristics of the UWB system, which leads
Pradeep Kumar Siddanna +2 more
wiley +1 more source
Here, the authors propose a novel robust adaptive beamforming method, which is robust to both of the covariance matrix mismatch and the steering vector estimation mismatch.
Lei Yu +3 more
doaj +1 more source
Communication‐Security Co‐Design for Federated Learning in Grant‐Free NOMA IoT Networks
This article presents SA‐PPO, a Security‐Aware Proximal Policy Optimisation framework for federated learning over grant‐free NOMA (non‐orthogonal multiple access) in IoT networks. By jointly optimising access control, resource allocation, and trust‐weighted aggregation using cross‐layer indicators, SA‐PPO enhances both communication reliability and ...
Emmanuel Atebawone +5 more
wiley +1 more source
Adaptive Beamforming Based on Compressed Sensing with Smoothed l0 Norm
An adaptive beamforming based on compressed sensing with smoothed l0 norm for large-scale sparse receiving array is proposed in this paper. Because of the spatial sparsity of the arriving signal, compressed sensing is applied to sample received signals ...
Yubing Han, Jian Wang
doaj +1 more source
Virtual covariance matrix reconstruction-based adaptive beamforming for small aperture array. [PDF]
Chang L, Zhang H, Yang H, Lv T, Tang N.
europepmc +1 more source

