Results 71 to 80 of about 609 (202)
IET Radar, Sonar &Navigation, Volume 19, Issue 1, January/December 2025.Space‐time adaptive processing (STAP) is a useful approach to address sea clutter suppression. This paper studies to introduce atomic norm minimisation (ANM) into FDA‐STAP to enhance range ambiguous clutter suppression. ABSTRACT Sea clutter suppression is a hot topic for airborne radar.
Zhao Wang +4 more
wiley +1 more source
International Journal of Chemical Engineering, Volume 2025, Issue 1, 2025.This study examined the extent to which polyaniline–Mucuna composite (PMC) can remove hydroquinone, hydrazine, and tolyltriazole (HHT), potentially hazardous drugs, from pharmaceutical effluent by adsorption. Batch adsorption with varying PMC dosages (0.004–0.02 g), contact periods (10–40 min), and pH levels (3–9) was employed.
Patrick C. Nnaji +10 more
wiley +1 more source
, 2022 Herein, an atomic norm based method for accurately estimating the location and orientation of a target from millimeter-wave multi-input-multi-output (MIMO) orthogonal frequency-division multiplexing (OFDM) signals is presented.
Da Costa, Maxime Ferreira +2 more
core +1 more source
Gradient-based iterative parameter estimation for bilinear-in-parameter systems using the model decomposition technique [PDF]
, 2018 The parameter estimation issues of a block-oriented non-linear system that is bilinear in the parameters are studied, i.e. the bilinear-in-parameter system.
Chen, Mengting, Ding, Feng, Yang, Erfu
core +1 more source
Control strategy for biopharmaceutical production by model predictive control
Biotechnology Progress, Volume 40, Issue 2, March/April 2024.Abstract The biopharmaceutical industry is rapidly advancing, driven by the need for cutting‐edge technologies to meet the growing demand for life‐saving treatments. In this context, Model Predictive Control (MPC) has emerged as a promising solution to address the complexity of modern biopharmaceutical production processes.
Touraj Eslami, Alois Jungbauer
wiley +1 more source
Partially coupled gradient estimation algorithm for multivariable equation-error autoregressive moving average systems using the data filtering technique [PDF]
, 2019 System identification provides many convenient and useful methods for engineering modelling. This study targets the parameter identification problems for multivariable equation-error autoregressive moving average systems.
Ding, Feng +3 more
core +1 more source
, 2023 This paper focuses on the joint design of transmit waveforms and receive filters for airborne multiple-input-multiple-output (MIMO) radar systems in spectrally crowded environments.
Li, Da, Tang, Bo, Xue, Lei
core +1 more source
Wireless Communications and Mobile Computing, Volume 2024, Issue 1, 2024.Massive multiple‐input‐multiple‐output (M‐MIMO) offers remarkable advantages in terms of spectral, energy, and hardware efficiency for future wireless systems. However, its performance relies on the accuracy of channel state information (CSI) available at the transceivers. This makes channel estimation pivotal in the context of M‐MIMO systems.
Jorge F. Arellano +5 more
wiley +1 more source
Angle and Range Unambiguous Estimation with Nested Frequency Diverse Array MIMO Radars
Remote SensingThis paper proposes an unambiguous method for joint angle and range estimation in colocated multiple-input multiple-output (MIMO) radar using the nested frequency diverse array (NFDA). Unlike a conventional phased array (PA), the transmission beampattern
Zhengxi Wang +4 more
doaj +1 more source
International Journal of Antennas and Propagation, 2020 In this paper, we consider the joint angle-range estimation in monostatic FDA-MIMO radar. The transmit subarrays are first utilized to expand the range ambiguity, and the maximum likelihood estimation (MLE) algorithm is first proposed to improve the ...
Kaikai Yang +3 more
doaj +1 more source