Radar Indicators and Displays

Scheer, J. A.

doi:10.1007/978-1-4613-1971-9_8

Cited by 4 publications

(5 citation statements)

References 4 publications

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“…Signal processing involves a wide range of technologies, the first is pulse compression [11]. Farnett E C et al introduced the principle of the pulse compression technique in detail, this technology can improve the resolution of radar detection [12][13]. Liu X et al conducted a study on cooperative jamming of CFAR technology and pulse compression radar [14].…”

Section: Background and Related Workmentioning

confidence: 99%

Research on Radar Jamming for Detection Performance

Wang

Chen

et al. 2023

J. Phys.: Conf. Ser.

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Radar jamming plays an important role in modern military affairs. The current radar jamming technology is mainly divided into two parts: suppressive jamming and deceptive jamming. This paper applies the jamming effect of multi-false target jamming in deceptive jamming and noise AM jamming, noise FM jamming, and noise PM jamming in suppressive jamming to the radar’s echo signal. Besides, this paper studies their influences from the aspect of target detection results through MTI and the influence of these jamming methods on the radar detection probability through CFAR. The experimental results can directly show the influence of interference measures on detection results and detection probability, and prove the effectiveness of these interference methods.

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Section: Background and Related Workmentioning

confidence: 99%

Research on Radar Jamming for Detection Performance

Wang

Chen

et al. 2023

J. Phys.: Conf. Ser.

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“…Sensor measurements are described by a nonlinear equation of Doppler shift between the target and each of the sensors, and measurement noise covariances are time-varying because of target motion. The measurement function and measurement noise covariances are given by [ 56 , 57 ]

Equations (49) and (50) represent the measurement model of the sensors, where (49) is the mapping from state to measurement and represents the Doppler shift between the target and each of the sensors. Since the radial velocity of the target is related to Doppler shift, we update it by using the velocity in the coordinates.…”

Section: Numerical Simulationmentioning

confidence: 99%

“…The standard deviation of the time-varying measurement noise of radar is

, which is given as Equation (18.46) in reference [ 56 ]; the

is the frequency domain resolution and

. The time-varying measurement noise can be rewritten as follows

…”

mentioning

confidence: 99%

Variational Bayesian Algorithms for Maneuvering Target Tracking with Nonlinear Measurements in Sensor Networks

Hu,

Pan,

Deng

et al. 2023

Entropy

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The variational Bayesian method solves nonlinear estimation problems by iteratively computing the integral of the marginal density. Many researchers have demonstrated the fact its performance depends on the linear approximation in the computation of the variational density in the iteration and the degree of nonlinearity of the underlying scenario. In this paper, two methods for computing the variational density, namely, the natural gradient method and the simultaneous perturbation stochastic method, are used to implement a variational Bayesian Kalman filter for maneuvering target tracking using Doppler measurements. The latter are collected from a set of sensors subject to single-hop network constraints. We propose a distributed fusion variational Bayesian Kalman filter for a networked maneuvering target tracking scenario and both of the evidence lower bound and the posterior Cramér–Rao lower bound of the proposed methods are presented. The simulation results are compared with centralized fusion in terms of posterior Cramér–Rao lower bounds, root-mean-squared errors and the 3σ bound.

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“… Equivalent circuit of the pulse modulator at the time of the pulse front edge [ 26 ], where

is the discharge voltage of energy storage element,

is the impedance of energy storage element,

is the excitation inductance of pulse transformer,

is the distributed capacitance of pulse transformer, and

is the equivalent impedance of the pulse transformer. …”

Section: Figurementioning

confidence: 99%

Feature Analysis and Extraction for Specific Emitter Identification Based on the Signal Generation Mechanisms of Radar Transmitters

Liu

Lin

et al. 2022

Sensors

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In this study, a feature analysis and extraction method was proposed for specific emitter identification based on the signal generation mechanisms of radar transmitters. The generation of radar signals by radar transmitters was analyzed theoretically and experimentally. In the analysis, the main source of unintentional modulation in radar signals was identified, and the frequency stabilization of the solid-state frequency source, the nonlinear characteristics of the radio frequency amplifier chain, and the envelope of the pulse front edge were extracted as features for specific emitter identification. Subsequently, these characteristics were verified through simulation. The results revealed that the features extracted by this method exhibit “fingerprint characteristics” and can be used to identify specific radar emitters.

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Radar Indicators and Displays

Cited by 4 publications

References 4 publications

Research on Radar Jamming for Detection Performance

Research on Radar Jamming for Detection Performance

Variational Bayesian Algorithms for Maneuvering Target Tracking with Nonlinear Measurements in Sensor Networks

Feature Analysis and Extraction for Specific Emitter Identification Based on the Signal Generation Mechanisms of Radar Transmitters

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