Signal modeling of chaff in naval environment simulation

Garcia, Alain

doi:10.1109/taes.2015.140922

Cited by 14 publications

(18 citation statements)

References 8 publications

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“…However, the scholars did not study the micromotion characteristics of chaff clouds. The previous research on the characteristics of chaff clouds has involved three aspects: the aerodynamic characteristics [15], the statistical characteristics [16,17], and the echo characteristics [18][19][20]. Brunk et al [15] proposed a spiral descent motion model of a single chaff dipole by a lot of experiments.…”

Section: Introductionmentioning

confidence: 99%

“…James et al [16] modified the operational hydrometeor classification algorithm (HCA) for the WSR-88D weather radar to include a chaff class that can be used as an input to a chaff detection algorithm. The research on the echo characteristics of chaff clouds has involved three aspects: the Doppler, the pulse-pulse correlation, and the depolarization research [18][19][20].…”

Section: Introductionmentioning

confidence: 99%

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Research on the micromotion characteristics of a chaff cloud

Hao

2019

EURASIP J. Adv. Signal Process.

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This paper reports the investigation on the micromotion characteristics of chaff dipoles and a chaff cloud. Micromotion models of chaff dipoles and steady-state chaff clouds are discussed. Fourier transform method and time-frequency method are used to study the micromotion features of chaff dipoles, in the energy domain and time-frequency domain, respectively. Based on the characteristic parameters in these two domains, the simulation results show that there are micro-Doppler frequency components in the echo signals from chaff dipoles, and these frequency components vary periodically. Then, the micro-Doppler frequencies of chaff cloud are obtained based on the method of multipoint synthesis. Finally, the experimental results of chaff dipoles dispersion verify the micromotion characteristics of chaff dipoles and chaff cloud obtained by using the empirical mode decomposition method and the short-time Fourier transform method.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Research on the micromotion characteristics of a chaff cloud

Hao

2019

EURASIP J. Adv. Signal Process.

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“…However, because of the simplified calculation of the scattering characteristics of the target, it is difficult to show high-precision echo characteristics of the target with high accuracy. To obtain more precise echo signal, in [10], a spectral characteristic model of naval chaff is introduced in the calculation of chaff echo signal, which considers the characteristics of Swerling distribution and Doppler spectrum of a chaff cloud. In [11], the electromagnetic scattering frequency response of ballistic missile target is calculated for the first time by simulation software CST, and is introduced into ballistic missile echo model.…”

Section: Introductionmentioning

confidence: 99%

A Novel PE/FDTD Hybrid Model for Predicting Echo Signals of Radar Targets in Large-Scale Complex Environments

et al. 2020

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The prediction of radar target echo signal in a large-scale complex environment is of great significance in target detection, radar design and other applications. In this paper, a novel PE/FDTD hybrid model is proposed to predict monostatic radar target echo signals in large-scale complex environments. The target echo signal can be regarded as the output response of the transmitted signal which passes through a linear time invariant system composed of complex environment and target. The transport function of the complex environment is computed by the parabolic equation (PE) method and the scattering characteristics of the target are calculated by finite difference time domain method (FDTD). The combination of PE and FDTD is realized through the system response function. In combination with the ''stop-go'' method, the prediction of moving target echo signal is realized. In addition, the error of combining PE with FDTD is analyzed, and the result shows that the error is less than 0.1% when the target distance is more than 10km. Additional numerical examples are given to demonstrate the correctness of the method in semi-space, rain, fog and atmospheric duct environments. The calculated results are compared with those of theoretical method, time-domain shooting and bouncing ray (TDSBR), multi-level fast multi-pole method (MLFMM) and waveguide mode theory, and good agreement among them is observed. Finally, the simulation analysis of the missile echo signal in the mixed sea-land environment with surface duct is carried out. The simulation results show that this model can be used to predict the echo signal of airborne targets in a large-scale complex environment. It is a promising option for multi-scale computing involving radar target and large-scale environment. INDEX TERMS Monostatic radar target echo, parabolic equation (PE), PE/FDTD hybrid model, large-scale complex environment.

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“…The research on radar characteristics of chaff clouds mainly focuses on two aspects [2]: the aerodynamic characteristics of chaff clouds [3, 4] and the echo characteristics of chaff clouds [5–25]. The study of the echo characteristics of chaff clouds mainly involves the simulation of radar cross‐section (RCS) of chaff clouds [5–8], the statistical characteristics of RCS of chaff clouds [9], the spectral behaviour of chaff clouds [10], mode for chaff characterisation [11], effective permittivity of thin fibres [12], and the electromagnetic computation for dense chaff clouds [13–18]. In addition, the polarisation characteristics of chaff clouds have been investigated via considering incoherent scattering model and coherent scattering model, respectively [19, 20], the polarimetric properties of chaff clouds [21, 22], and the polarisation statistical characteristics of chaff clouds [23–25].…”

Section: Introductionmentioning

confidence: 99%

“…Many methods have been proposed to make such a distinction. These mainly include the Doppler behaviour of the chaff [26, 27], time‐domain correlation [28, 29], time‐frequency analysis of the radar echo [30], and polarisation discrimination [31–36], which seems to be the most promising methods [10]. Chaff jamming recognition based on the Doppler behaviour of the chaff is a simple but effective method, which can be divided roughly into two categories: Doppler filtering [26] and anti‐chaff jamming method based on the effect of spectral expansion [27].…”

Section: Introductionmentioning

confidence: 99%