Fractional calculus is an abstract idea exploring interpretations of differentiation having non-
integer order. For a very long time, it was considered as a topic of mere theoretical interest …

The fractional Fourier transform (FRFT) is a powerful tool for time-varying signal analysis.
There exist various discrete fractional Fourier transforms (DFRFTs); in this paper, we …

The radar echoes of moving targets in a clutter background are extremely weak and their
characteristics are complex. A low-observable moving target detection technology has …

The Fractional Fourier transform (FRFT) is a relatively novel linear transforms that is a
generalization of conventional Fourier transform (FT). FRFT can transform a particular signal …

Radar maneuvering target detection in clutter background should not only consider the
complex characteristics of the target to accumulate its energy as much as possible, but also …

为有效提高强杂波及目标复杂运动特性条件下的雷达动目标探测能力, 该文结合时频分布(TFD)
类动目标检测和稀疏表示方法的优势, 建立了短时稀疏TFD (ST-STFD) 原理框架 …

In this paper, an adaptive dual-threshold sparse Fourier transform (ADT-SFT) algorithm is
proposed, which enables the application of the SFT and robust SFT (RSFT) to the moving …

Traditional hyperspectral target detection methods use spectral domain information for target
recognition. Although it can effectively retain intrinsic characteristics of substances, targets in …

Sea clutter suppression in passive radar sensor is a challenging problem because the
Doppler frequencies of low-velocity sea-surface targets are typically close to the spectrum of …

In this letter, a novel fast detection algorithm, known as robust sparse fractional Fourier
transform (RSFRFT), is proposed for low-observable maneuvering target detection in a …