Radars operating in the HF band achieve extremely long range detection by exploiting
propagation modes which preclude many of the standard target classification techniques, at …

In this paper, a new neural network directed Bayes decision rule is developed for target
classification exploiting the dynamic behavior of the target. The system consists of a feature …

This paper addresses the problem of classifying signals that have been corrupted by noise
and unknown linear time-invariant (LTI) filtering such as multipath, given labeled …

The performance of target recognition in VHF radar is evaluated through the use of support
vector machine (SVM) classifier. Automatic target recognition in low resolution radars has …

The unique environment of the abyssal plains allows many simplifying assumptions,
facilitating the acoustic classification of an animal into one of two groups. The most important …

Traditional synthetic aperture radar (SAR) systems tend to discard phase information of
formed complex radar imagery prior to automatic target recognition (ATR). This practice has …

HF radars are large and expensive systems whose performance is strongly dependent on
the scattering geometry. There have been several cases where such radars have been …

For many sensing modalities such as sonar, received signals are corrupted by multipath and
can be challenging for automatic classification systems. An approach to jointly deconvolve …

利用电离层行波扰动(Traveling Ionospheric Disturbances, TIDs) 模型, 仿真分析了不同尺度
TIDs 引起的超视距雷达(Over the Horizon Radar, OTHR) 地海杂波频谱频移 …

因电离层分层特性使OTHR 回波信号经历多模传播, 引起地海杂波频谱大幅度展宽, 导致OTHR
对舰船目标的检测能力急剧下降. 文中提出了基于全频段定频探测的单模工作频率选择方法 …