Results 41 to 50 of about 353 (143)

Radar active oppressive interference suppression based on generative adversarial network

IET Radar, Sonar &Navigation, Volume 18, Issue 7, Page 1193-1202, July 2024.
An intelligent interference suppression method based on deep learning is proposed. Its interference suppression performance and robustness are better than the existing methods. Abstract Modern radar systems often face various interference signals in complex and rapidly changing electronic environments.
Yongzhi Yu, Yu You, Ping Wang, Limin Guo
wiley   +1 more source

Synchroextracting Transform Based on the Novel Short-Time Fractional Fourier Transform

Fractal and Fractional
As a generalization of the short-time Fourier transform (STFT), the novel short-time fractional Fourier transform (NSTFRFT) has been introduced recently.
Bei Li, Zhuosheng Zhang
doaj   +1 more source

Enhanced target detection using fractional Fourier transform features with threshold‐modified normalization

Electronics Letters, Volume 60, Issue 12, June 2024.
Our manuscript introduces a novel method that modifies the normalization process in the fractional Fourier transform (FRFT) domain by incorporating a threshold mechanism to counteract the effects of non‐normal distributions. Additionally, we propose a target detection method that utilizes three new features extracted from this modified FRFT domain ...
Jian Guan, Xingyu Jiang, Ningbo Liu, Hao Ding, Yunlong Dong, Tong Liu   +5 more
wiley   +1 more source

Application of Fractional Fourier Transform to Moving Target Indication via Along-Track Interferometry

EURASIP Journal on Advances in Signal Processing, 2005
A relatively unknown yet powerful technique, the so-called fractional Fourier transform (FrFT), is applied to SAR along-track interferometry (SAR-ATI) in order to estimate moving target parameters.
Chiu Shen
doaj   +1 more source

Deep Anomaly Detection with Attention (DADA): A Novel Approach for Identifying Multipath Interference in Radar Signals

IET Signal Processing, Volume 2024, Issue 1, 2024.
Multipath interference in radar signals caused by sea, ground, and other environments poses significant challenges to the target detection, tracking, and classification capabilities of radar systems. Existing methods for radar signal identification require labeled samples and focus mainly on the classification of normal signals.
Kang Yan, Weidong Jin, Yingkun Huang, Zhenhua Li, Pucha Song, Ligang Huang, Hasan Mir   +6 more
wiley   +1 more source

Discussion on Weighted Fractional Fourier Transform and Its Extended Definitions

Fractal and Fractional
The weighted fractional Fourier transform (WFRFT) has always been considered a development of the discrete fractional Fourier transform (FRFT). This paper points out that the WFRFT is a discrete FRFT of eigenvalue decomposition, which will change the ...
Tieyu Zhao, Yingying Chi
doaj   +1 more source

Fractional Mixed Weighted Convolution and Its Application in Convolution Integral Equations

Journal of Mathematics, Volume 2024, Issue 1, 2024.
The convolution integral equations are very important in optics and signal processing domain. In this paper, fractional mixed‐weighted convolution is defined based on the fractional cosine transform; the corresponding convolution theorem is achieved.
Rongbo Wang, Qiang Feng, Ding-Xuan Zhou
wiley   +1 more source

HMM‐Based Method for Aircraft Environmental Control System Turbofan Rolling Bearing Fault Diagnosis

Shock and Vibration, Volume 2024, Issue 1, 2024.
In response to the high‐noise, nonlinear, and nonstationary characteristics of vibration signals from aircraft environmental control system (ECS) turbofan rolling bearings, this paper proposes a diagnostic method for the degree of ECS turbofan bearing faults based on the Hidden Markov Model (HMM).
Gang Yang, Yu Wang, Dezhao Qin, Rui Zhu, Qingpeng Han, Jinqiang Gan   +5 more
wiley   +1 more source

A non-cooperative underwater acoustic pulse signal detection method based on the improved fractional Fourier transform (Frft) power spectral entropy

Journal of Physics: Conference Series
Abstract Non-cooperative underwater acoustic pulse signal detection, which often lacks prior information, typically employs energy detection methods. However, in low signal-to-noise ratio (SNR) conditions, the efficiency of this method significantly decreases.
Lei Wei, Tao Fang, Biao Wang
openaire   +1 more source

Suppression Method for Smeared Spectrum Jamming Based on Lv’s Distribution Combined with Biorthogonal Fourier Transform

Journal of Electrical and Computer Engineering, Volume 2024, Issue 1, 2024.
Smeared spectrum (SMSP) jamming is a deceptive jamming technique commonly used against linear frequency modulation (LFM) radar. This technique produces high‐density false targets that resemble a comb shape after pulse compression processing, resulting in both deceiving and suppressing effects. In order to suppress jamming effectively, a new antijamming
Zhenming Wen, Guohong Wang, Hongbo Yu, Andrea Tani   +3 more
wiley   +1 more source