The echo scattered from a slow-moving weak target on sea surface is nonstationary due to
the influence of waves. Time-frequency distributions are good tools to analyze it. In this …

Current methods for radar target detection usually work on the basis of high signal-to-clutter
ratios. In this paper we propose a novel convolutional neural network based dual-activated …

This paper presents a study about the possibility of implementing approximations to the
Neyman–Pearson detector with C-Support Vector Machines and 2C-Support Vector …

Extended target detection in the presence of K-distributed clutter has gained a special
interest in recent years. High-resolution radars allow a target to be found in several …

目前的雷达目标检测方法通常基于高信杂比. 本文提出一种新的基于卷积神经网络的双激活杂波
抑制算法, 以解决实际海况中低信杂比下的小目标检测问题. 双激活有两个步骤. 首先 …

This paper investigates the littoral sea clutter amplitude distributions associated with
individual segments within a periodic wave. Low grazing angle, X-Band sea clutter data …

A numerical experiment is performed using a Shooting and Bouncing Rays based solver on
eight finite clusters of eight perfectly electrically conductive canonical target geometries …

Radar usually employs several signal processing methods successively for detection. Each
processing step influences the radar detection performance. Thus, analysis of the radar …

A coherent autoregressive-to-anything (ARTA) stationary stochastic process for modelling
maritime clutter and targets is presented in this paper. The ARTA stochastic process model …

Sonlu küme hacimlerinin her birinde bir türden rastgele ötelenmiş ve döndürülmüş belirli
miktardaki hedefler barındıran, sekiz mükemmel elektriksel olarak iletken kanonik hedef …