Characteristic Description and Statistical Model-Based Method for Sea Clutter Modeling
The modeling and analysis of sea clutter are of great significance in radar target detection studies in marine environments. Sea clutter typically exhibits non-Gaussian characteristics and spatiotemporal correlations, posing challenges for modeling ...
Huafeng He +5 more
doaj +1 more source
Analysis of amplitude statistical and correlation characteristics of high grazing angle sea-clutter
Research on the characteristics of sea clutter has always been the focus in the problem of sea target detection as an indispensable part. In recent years, the problem of sea clutter characteristics under medium-high grazing angle is also paid more and ...
Heng-Yan Liu +5 more
doaj +1 more source
Bio‐Inspired Multimodal Hardware Front‐End Enabled by 2D Floating‐Gate Memory for UAV Perception
A MoS2/h‐BN /graphene floating‐gate memory underpins a bio‐inspired multimodal front end that integrates visual, inertial, and airflow cues. A 4 × 4 FG memory array encodes temporal intensity differences, while IMU‐ and airflow‐driven threshold modulation suppresses self‐motion artifacts, enabling fast, low‐power, robust autonomous UAV tracking and ...
Lianghao Guo +11 more
wiley +1 more source
Space-time Characteristics and Experimental Analysis of Broadening First-order Sea Clutter in HF Hybrid Sky-surface Wave Radar [PDF]
In high frequency (HF) hybrid sky-surface wave radar, the first-order sea clutter broadening is very complex and serious under the influence of ionosphere and bistatic angle, which affects the detection of ship target.
Chu, T.Q. +4 more
core +1 more source
This review explores advances in wearable and lab‐on‐chip technologies for breast cancer detection. Covering tactile, thermal, ultrasound, microwave, electrical impedance tomography, electrochemical, microelectromechanical, and optical systems, it highlights innovations in flexible electronics, nanomaterials, and machine learning.
Neshika Wijewardhane +4 more
wiley +1 more source
A codesign multiobjective optimization framework was developed to enhance the morphology and controller of a snake‐like robot driven by artificial muscles. It improved planar locomotion, agility, and power efficiency. The approach optimized link geometry and controller gains, revealing that shorter muscles near joints and longer linkages maximize ...
Ayla Valles, Mahdi Haghshenas‐Jaryani
wiley +1 more source
A Knowledge-Based Auxiliary Channel STAP for Target Detection in Shipborne HFSWR
The broadened first-order sea clutter in shipborne high frequency surface wave radar (HFSWR), which will mask the targets with low radial velocity, is a kind of classical space–time coupled clutter.
Liang Guo +5 more
doaj +1 more source
Knowledge-aided covariance matrix estimation and adaptive detection in compound-Gaussian noise [PDF]
We address the problem of adaptive detection of a signal of interest embedded in colored noise modeled in terms of a compound-Gaussian process. The covariance matrices of the primary and the secondary data share a common structure while having different ...
Bandiera, Francesco +2 more
core +1 more source
Collision‐Resilient Winged Drones Enabled by Tensegrity Structures
Based on structures of birds such as the woodpeck, this article presents the collision‐resilient aerial robot, SWIFT. SWIFT leverages tensegrity structures in the fuselage and wings which allow it to undergo large deformations in a crash, without sustaining damage. Experiments show that SWIFT can reduce impact forces by 70% over conventional structures.
Omar Aloui +5 more
wiley +1 more source
An airborne radar sea clutter spectrum parameters estimation method based on intelligent learning
Traditional airborne radar sea clutter suppression methods have a high degree of human participation and large errors in estimating the clutter power spectrum.
FAN Yifei +5 more
doaj +1 more source

