In recent years, the performances of radar resolution, coverage, and detection accuracy
have been significantly improved through the use of ultra-wideband, synthetic aperture and …

Long-time coherent integration technique is one of the most important methods for the
improvement of radar detection ability of a weak maneuvering target, whereas the …

Feature extraction is the key technique for radar automatic target recognition (RATR) based
on high-resolution range profile (HRRP). Traditional feature extraction algorithms usually …

The range resolution of high-resolution wideband radar is much smaller than the target size.
Its echo signals tend to be diverse and sensitive to small changes of targets. Therefore, it is …

Robust and efficient feature extraction is critical for high-resolution range profile (HRRP)-
based radar automatic target recognition (RATR). In order to explore the correlation between …

多站协同雷达目标识别旨在利用多站信息的互补性提升识别性能. 传统多站协同目标识别方法未
直接考虑站间数据差异问题, 且通常采用相对简单的融合策略, 难以取得准确, 稳健的识别性能 …

In this paper, we develop a Target-Aware Recurrent Attentional Network (TARAN) for Radar
Automatic Target Recognition (RATR) based on High-Resolution Range Profile (HRRP) to …

In this paper, we propose a conditional generative model for radar high resolution range
profile (HRRP) target recognition to learn the discriminative representations and sufficiently …

A factor analysis model based on multitask learning (MTL) is developed to characterize the
FFT-magnitude feature of complex high-resolution range profile (HRRP), motivated by the …

Robust and effective detection of a marine target is a challenging task due to the complex
sea environment and target's motion. A long-time coherent integration technique is one of …