Results 51 to 60 of about 2,357 (209)
RCS computation and data analysis of target base FEKO
Dianzi Jishu Yingyong, 2018 Radar engineers often have special requirement for the RCS data computation and analysis of target. The investigation of target delectability can been obtained by 1-dimensional probability density functions(PDF) and 2-dimensional RCS intensity.
Qin Qin +3 more
doaj +1 more source
Review of High-resolution Imaging Techniques of Wideband Inverse Synthetic Aperture Radar
Leida xuebao, 2020 At present, the emphasis of Inverse Synthetic Aperture Radar (ISAR) systems on the characteristics of high carrier frequency, wide bandwidth, multi-polarization capability, distribution, and networking has led to the development and progress of ISAR ...
Biao TIAN +5 more
doaj +1 more source
Two Dimensional Array Imaging with Beam Steered Data
, 2013 This paper discusses different approaches used for millimeter wave imaging of two-dimensional objects. Imaging of a two dimensional object requires reflected wave data to be collected across two distinct dimensions.
Patole, Sujeet, Torlak, Murat
core +1 more source
An Improved Backprojection Autofocus Method for Synthetic Aperture Sonar
IET Radar, Sonar &Navigation, Volume 20, Issue 1, January/December 2026.We propose an improved backprojection (BP) autofocus method for synthetic aperture sonar (SAS), which reduces the computational overhead of existing methods using Anderson acceleration (AA) and the sparsity of high‐intensity pixels in imagery. ABSTRACT Autofocus methods effectively compensate for multi‐source phase errors in synthetic aperture radar ...
Shiping Chen +6 more
wiley +1 more source
Computational Burden Resulting from Image Recognition of High Resolution Radar Sensors
Sensors, 2013 This paper presents a methodology for high resolution radar image generation and automatic target recognition emphasizing the computational cost involved in the process.
Elena Rufo +5 more
doaj +1 more source
Imaging of High-Speed Aerial Targets With ISAR Installed on a Moving Vessel
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023 An inverse synthetic aperture radar (ISAR) technique is proposed to acquire high-resolution steady images of high-speed aerial target with radar installed on a moving vessel.
Dau-Ming Wu, Jean-Fu Kiang
doaj +1 more source
An ISAR target motion estimation algorithm based on a differential semblance criterion
Electronics Letters, Volume 61, Issue 1, January/December 2025.This study presents a novel approach for improving rotational motion estimation in multistatic Inverse Synthetic Aperture Radar (ISAR) imaging through a Differential Semblance Optimization (DSO) criterion. By reducing discrepancies across images from multiple transmitter–receiver pairs, our method enables precise yaw rotation estimation and produces ...
D. P. Huxley +2 more
wiley +1 more source
Polarisation variation of linear polarised Bi‐ISAR system in space targets imaging
IET Radar, Sonar & Navigation, 2021 A bistatic inverse synthetic aperture radar (Bi‐ISAR) system is used to observe space targets through different viewing angles via a bistatic radar configuration. It is seen that the receiver of a linear polarised Bi‐ISAR system with a long baseline will
Linsheng Bu, Junling Wang
doaj +1 more source
Efficient range alignment algorithm for real-time range-Doppler algorithm [PDF]
, 2017 When deriving a range-Doppler image or a time-frequency image of a fast-maneuvering target at long range, existing range alignment methods yield poor results due to the large numbers of range profiles (RPs) and range bins that are required for this task.
Bae, J.-H. +4 more
core +1 more source
Joint Noise Suppression and Resolution Enhancement of ISAR Images Using Integrated Neural Networks
Electronics Letters, Volume 61, Issue 1, January/December 2025.This study proposes an integrated neural network for simultaneous noise suppression and resolution enhancement in inverse synthetic aperture radar (ISAR) images. The proposed approach sequentially combines separate generative models for each task and optimizes them using a joint learning strategy.
Seonmin Cho +5 more
wiley +1 more source