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.

An evolutionary multiclass algorithm for automatic classification of high range resolution radar targets

2009 ◽  
Vol 16 (1) ◽  
pp. 51-60 ◽  
Author(s):  
Leo Carro-Calvo ◽  
Sancho Salcedo-Sanz ◽  
Roberto Gil-Pita ◽  
Antonio Portilla-Figueras ◽  
Manuel Rosa-Zurera
Keyword(s):  
Automatic Classification ◽  
Range Resolution ◽  
Radar Targets ◽  
High Range Resolution Radar ◽  
High Range

A New Compensation Method of HRRP for Ballistic Targets

2013 ◽  
Vol 756-759 ◽  
pp. 3860-3864
Author(s):  
Xing Xing Li ◽  
Han Ying Yao ◽  
Wen Feng Sun
Keyword(s):  
High Speed ◽  
Computational Cost ◽  
Compensation Method ◽  
Least Square ◽  
Extraction Technology ◽  
Least Square Estimation ◽  
Range Resolution ◽  
Wideband Radar ◽  
Low Computational Cost ◽  
High Range

The influence on the high range resolution profile (HRRP) of the ballistic target caused by high speed motion is analyzed based on the wideband radar de-chirping echo. According to the characters of ballistic target echo ambiguity diagram (AD), the auto-terms line of echo ambiguity function is extracted from the corresponding binary image by skeleton extraction technology. Therefore, the problem of chirp rate estimation is transformed into the least square (LS) estimation problem. Furthermore, a new motion compensation method of HRRP for ballistic targets is proposed based on the ambiguity diagram and least square estimation theory. Simulation results show that the method can eliminate the influence of the high speed motion effectively, and it has a high estimate accuracy and low computational cost.

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.

scholarly journals Precision Imaging of Frequency Stepped SAR with Frequency Domain Extracted HRRP and Fast Factorized Back Projection Algorithm

2017 ◽  
Vol 2017 ◽  
pp. 1-13
Author(s):  
Can-bin Yin ◽  
Da Ran
Keyword(s):  
Fourier Transform ◽  
Frequency Domain ◽  
Single Point ◽  
Projection Algorithm ◽  
Great Promise ◽  
Back Projection ◽  
Imaging Processing ◽  
Block Partition ◽  
Range Resolution ◽  
High Range

Novel frequency domain extracted method (FDEM) to obtain high range resolution profile (HRRP) for frequency stepped synthetic aperture radar (SAR) is proposed in this paper, and the mathematical principle and formulas of this new HRRP obtaining idea combined with classical fast Fourier transform (FFT), chirp z transform (CZT), and single point Fourier transform (SPFT) are deduced, analyzed, and compared in detail. Based on the HRRP data, precision imaging processing is completed using a data block partition based fast factorized back projection algorithm. Imaging validations are executed and all results proved that the FDEM has a great capability of antijamming. It is more effective than conventional time domain IFFT method (TDM) and shows a great promise in frequency stepped radar imaging and applications.

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