scholarly journals High-Resolution ISAR Imaging with Wideband V-FM Waveforms

2017 ◽  
Vol 2017 ◽  
pp. 1-10 ◽  
Author(s):  
Dejun Feng ◽  
Xiaoyi Pan ◽  
Guoyu Wang
Keyword(s):  
High Resolution ◽  
Motion Compensation ◽  
Synthetic Aperture ◽  
Range Resolution ◽  
Dual Channel ◽  
Scattering Center ◽  
Isar Imaging ◽  
Chirp Signals ◽  
2D Array ◽  
High Range

V-FM waveforms, composed of two chirp signals with the opposite slopes, can also achieve high range resolution with wide bandwidth via intrapulse frequency modulation. In this paper, a framework for inverse synthetic aperture radar (ISAR) imaging of moving targets with V-FM waveforms is investigated, where the range compression of the received signals is achieved by the dual-channel dechirping and the azimuth compression is done via the traditional Fourier transform (FT). The two corresponding reconstructed temporary high-resolution range profiles (HRRPs) from the double channels are synthesized for the HRRPs of the target, in which one is flipped from left to right and added to the other. Then the final HRRPs are arranged into a two-dimensional (2D) array and the azimuth compression is done via FT to achieve the ISAR imaging after the motion compensation. Simulated trials, adopting the scattering center modeling of the Yak-42 plane, are used to validate the correctness of the analyses and the finally well-focused images greatly support the effectiveness of V-FM waveforms in ISAR imaging.

An all weather millimetre wave imaging radar for UAVs

2001 ◽  
Vol 105 (1053) ◽  
pp. 609-612 ◽  
Author(s):  
A. Britton ◽  
D. Joynson
Keyword(s):  
High Resolution ◽  
Random Phase ◽  
Synthetic Aperture ◽  
Millimetre Wave ◽  
Range Resolution ◽  
Imaging Radar ◽  
Wave Imaging ◽  
And Performance ◽  
Functional Prototype ◽  
High Range

Abstract In this paper we describe a new 35GHz air-borne radar developed jointly by DERA and Alenia Marconi Systems. This radar is a functional prototype of a more highly configured imaging radar which is designed to meet the needs for all-weather imaging both for future unmanned air vehicles (UAV) and for seekers in the next generation of surface attack weapons. The radar achieves high range resolution through a combination of pseudo-random phase coding and frequency agility. This is then augmented by synthetic aperture techniques to allow forward looking high resolution 2D imagery to be obtained. The radar has been installed on a fixed wing aircraft and has been used to gather fixed and relocatable target signature data under tactically representative conditions. The paper begins with a discussion of the requirements for such a radar and then a review of its design and performance is presented. This is followed by examples of target signatures gathered during the initial system flights and a discussion on their exploitation for surveillance, target acquisition and tracking.

scholarly journals Joint Tracking and Classification of Multiple Targets with Scattering Center Model and CBMeMBer Filter

Sensors ◽  
2020 ◽  
Vol 20 (6) ◽  
pp. 1679 ◽  
Author(s):  
Ronghui Zhan ◽  
Liping Wang ◽  
Jun Zhang
Keyword(s):  
Sequential Monte Carlo ◽  
Multiple Targets ◽  
Range Resolution ◽  
Aspect Angle ◽  
Scattering Center ◽  
Simulation Results ◽  
Wideband Radar ◽  
Joint Tracking ◽  
High Range

This paper deals with joint tracking and classification (JTC) of multiple targets based on scattering center model (SCM) and wideband radar observations. We first introduce an SCM-based JTC method, where the SCM is used to generate the predicted high range resolution profile (HRRP) with the information of the target aspect angle, and target classification is implemented through the data correlation of observed HRRP with predicted HRRPs. To solve the problem of multi-target JTC in the presence of clutter and detection uncertainty, we then integrate the SCM-based JTC method into the CBMeMBer filter framework, and derive a novel SCM-JTC-CBMeMBer filter with Bayesian theory. To further tackle the complex integrals’ calculation involved in targets state and class estimation, we finally provide the sequential Monte Carlo (SMC) implementation of the proposed SCM-JTC-CBMeMBer filter. The effectiveness of the presented multi-target JTC method is validated by simulation results under the application scenario of maritime ship surveillance.

scholarly journals Raw Data-Based Motion Compensation for High-Resolution Sliding Spotlight Synthetic Aperture Radar

Sensors ◽  
2018 ◽  
Vol 18 (3) ◽  
pp. 842 ◽  
Author(s):  
Ning Li ◽  
Shilin Niu ◽  
Zhengwei Guo ◽  
Yabo Liu ◽  
Jiaqi Chen
Keyword(s):  
High Resolution ◽  
Synthetic Aperture Radar ◽  
Motion Compensation ◽  
Synthetic Aperture ◽  
Raw Data ◽  
Aperture Radar

scholarly journals High-Resolution ISAR Imaging with Modified Joint Range Spatial-Variant Autofocus and Azimuth Scaling

Sensors ◽  
2020 ◽  
Vol 20 (18) ◽  
pp. 5047
Author(s):  
Jiaqi Wei ◽  
Shuai Shao ◽  
Hui Ma ◽  
Penghui Wang ◽  
Lei Zhang ◽  
...  
Keyword(s):  
High Resolution ◽  
Motion Compensation ◽  
Rotational Velocity ◽  
Real Data ◽  
Minimum Entropy ◽  
Signal Model ◽  
Compensation Methods ◽  
Isar Imaging ◽  
Center Position ◽  
Joint Range

Well-focused and accurately scaled high-resolution inverse synthetic aperture radar (ISAR) images provide a sound basis for feature extraction and target recognition. This paper proposes a novel high-resolution ISAR imaging algorithm, namely modified joint range spatial-variant autofocus and azimuth scaling algorithm (MJAAS). After motion compensation, the shift of the equivalent rotational center (ERC) of the target destroys the linear relationship between the azimuth chirp rates (ACR) of echo signals and the range coordinates of scattering points, thereby leading to the failure of azimuth scaling. Accordingly, a new joint equivalent rotational center position and effective rotational velocity (JERCP-ERV) signal model is established, serving as the basis of MJAAS. By recourse to the Davidon-Fletcher-Powell (DFP) algorithm, MJAAS can jointly estimate the ERCP and ERV by solving a minimum entropy optimization problem, so as to simultaneously achieve accurate azimuth scaling and range spatial-variant autofocus, which further improves the image focusing performance. MJAAS is not restricted by the modes of motion errors (coherent or non-coherent) and the motion compensation methods, so it can be widely applied to real data with the advantages of strong practicality and high accuracy. Extensive experimental results based on both simulated and real data are provided to corroborate the effectiveness of the proposed algorithm.

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