Unlike the conventional phased array, frequency-diverse array (FDA) employs a tiny frequency increment across elements, which is capable of providing range–angle–time-dependent beampattern, and thereby offers potential benefits in target localization interference mitigation. Reported literature on FDA mostly focuses its intrapulse (fast-time) property ignores interpulse (slow-time) feature induced by offset. In this article, incorporating neglected inherent slow-time coding feature, novel...

Inspired by the retina, artificial optoelectronic synapses have groundbreaking potential for machine vision. The field-effect transistor is a crucial platform that highly sensitive to external stimuli and can modulate conductivity. On basis of decent optical absorption, perovskite materials been widely employed constructing synaptic transistors. However, reported transistors focus on static processing independent at different moments, while natural visual information consists temporal...

Traditional phased array-based space-time adaptive processing (STAP) suffers from severe performance degradation in the presence of dense false-target jamming, especially mainlobe deceptive jamming. In this paper, an enhanced 3-D joint domain localized STAP method, incorporated with jamming pre-whitening transmit-receive spatial domain, is proposed to deal problem. It exploits characteristic that target, clutter, and are discriminable range-angle-Doppler a frequency diverse array multi-input...

Structural health monitoring (SHM) systems can improve the safety and reliability of structures, reduce maintenance costs, extend service life. Research on concrete SHMs using piezoelectric-based smart aggregates have reached great achievements. However, newly developed techniques not been widely applied in practical engineering, largely due to wiring problems associated with large-scale structural monitoring. The cumbersome requires much material labor work, more importantly, work is also...

In winter, wind turbines are susceptible to blade icing, which results in a series of energy losses and safe operation problems.Therefore, icing detection has become top priority.Conventional methods primarily rely on sensor monitoring, is expensive limited applications.Data-driven have feasible with the development artificial intelligence.However, data-driven method plagued by training samples samples; therefore, this paper proposes an warning strategy based combination feature selection...

With the development of mobile internet and artificial intelligence, core current surveying mapping science technology is no longer confined solely to outdoor applications. High-precision indoor positioning now one technologies in era intelligence. An angle measurement system based on wireless signal array antennas can achieve high accuracy unblocked conditions. However, environment unpredictable, user's behavior also random. Inevitably, some reflection other factors will affect accuracy....

As training samples are not always identically distributed with the clutter in cell under test (CUT) heterogeneous environments, estimated covariance matrix for space-time adaptive processing (STAP) is accurate, which degrades performance of STAP. To improve STAP this letter proposes a novel sample selection algorithm to estimate matrix. Based on subaperture smoothing techniques, subapertures' matrices estimated, used measure similarities between CUT and samples. Training whose similar that...

Space-time adaptive processing (STAP) techniques have achieved good performance when applied to side-looking airborne radar (SLAR) where the ground clutter is relatively stationary, but due severe range dependence, not so in non-SLAR particularly pulse repetition frequency high enough induce ambiguity. Because short-range Doppler for varies rapidly with while long-range gently, at presence of ambiguity, different ambiguous ranges does coincide. The dependence mitigation case ambiguity major...

This paper deals with the estimation of clutter covariance matrix in airborne radar space-time adaptive processing (STAP). Based on persymmetry property, a novel STAP method, referred to as persymmetric extended factored (Per-EFA), is derived, which can make more intensive use secondary data and improve performance training-limited scenarios. Simulation results demonstrate effectiveness this method.

In finetuning a large pretrained model to downstream tasks, parameter-efficient fine-tuning (PEFT) methods can effectively finetune models with few trainable parameters, but suffer from high GPU memory consumption and slow training speed. Because learnable parameters these are entangled the model, gradients related frozen model's have be computed stored during finetuning. We propose Low-rank Attention Side-Tuning (LAST), which disentangles module by freezing not only also outputs of network....

Hydrogen, as an antioxidant, may have the potential to mitigate fatigue and improve selected oxidative stress markers induced by strenuous exercise. This study focused on a previously unexplored approach involving pre-exercise inhalation of hydrogen-rich gas (HRG). Twenty-four healthy adult men first completed pre-laboratories determine maximum cycling power (W

In space‐time adaptive processing (STAP), the required interference covariance matrix is commonly estimated from homogeneous samples. However, real environments are often heterogeneous, which induced by fact that training samples do not share same property with cell under test (CUT), and thus mismatched one. To improve performance of STAP in heterogeneous environments, this paper proposes a robust selection algorithm based on spectral similarity interference. The spectrums firstly, then...

Positioning and synchronization are fundamental problems before multiplatform signal coherence on a potential target, for the purpose of detection, in airborne distributed coherent aperture radars (ADCARs). Hence, this paper, identifiability analysis positioning errors, including platform position errors (PPEs), time alignment (TAEs), initial phases (IPs), is investigated using calibrating scatterers separated disjoint Doppler resolution bins. Firstly, hybrid Cramér-Rao lower bounds (HCRLBs)...

Onshore wind turbines are primarily installed in high-altitude areas with good energy resources. However, winter, the blades easy to ice, which will seriously impact their aerodynamic performance, as well power and service life of turbine. Therefore, it is great practical significance predict turbine blade icing advance take measures eliminate adverse effects icing. Along these lines, three approaches supervisory control data acquisition (SCADA) feature selection were summarized this work....