SINR estimation for SATCOM in the environment with jamming signals

Li, Lun; Wang, Gang; Tian, Xin; Shen, Dan; Pham, Khanh; Blasch, Erik; Chen, Genshe

doi:10.1117/12.2225153

Cited by 3 publications

(8 citation statements)

References 16 publications

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“…The jammer's destructive signal is considered as an additive Gaussian random variable J ∼ N (µ j , σ 2 j ) with known and constant mean (µ j ) and variance (σ 2 j ). The jammer's transmitted signal power is calculated as P j = |µ j | 2 + σ 2 j , [24]. This jamming model is a flexible model for representing a wide range of jamming signal scenarios.…”

Section: A Attack Modelmentioning

confidence: 99%

“…and u l is an arbitrary commanded acceleration taken by the lead vehicle. Equation (24) shows that except for the lead vehicle commanded acceleration u l , other vehicles commanded acceleration value will be a random variable and are computed recursively with respect to time.…”

Section: B Attack and Rician Fading Model Integrationmentioning

confidence: 99%

“…We will use the stochastic dynamical system of the CACC system presented in (24) to study the wireless communication uncertainty and jamming attacks impact on the string stability and safety.…”

Section: B Attack and Rician Fading Model Integrationmentioning

confidence: 99%

“…] and x n [k] is obtained from (24). G is a matrix with dimension of (n + 1) × 5(n + 1) with all elements equal to zero except the elements in (i, 5i − 4) for i = 1, 2, ...n + 1, which are equal to 1.…”

Section: Minimum Transmission Power To Maintain Mean String Stabilitymentioning

confidence: 99%

“…Existing string stability analysis are based on frequency-domain techniques [4], [13], [15], [18]. However, for the stochastic dynamical system obtained in (24), frequency-domain analysis method cannot be employed because of time-varying probabilistic packet successful delivery at each receiver. In order to tackle this challenge, we employ time-domain method for analysis of string stability and distance states evolution of CACC system under Rician fading channel and jamming attacks.…”

Section: String Stability Analysismentioning

confidence: 99%

See 4 more Smart Citations

String Stability Analysis of Cooperative Adaptive Cruise Control under Jamming Attacks

Alipour-Fanid

Dabaghchian

Zhang

et al. 2017

2017 IEEE 18th International Symposium on High Assurance Systems Engineering (HASE)

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Cooperative Adaptive Cruise Control (CACC) is considered as a key enabling technology to automatically regulate the intervehicle distances in a vehicle platoon to improve traffic efficiency while maintaining safety. Although the wireless communication and physical processes in the existing CACC systems are integrated in one control framework, the coupling between wireless communication reliability and system states is not well modeled. Furthermore, the research on the impact of jamming attacks on the system stability and safety is largely open. In this paper, we conduct a comprehensive analysis on the stability and safety of the platoon under the wireless Rician fading channel model and jamming attacks. The effect of Rician fading and jamming on the communication reliability is incorporated in the modeling of string dynamics such that it captures its state dependency. Time-domain definition of string stability is utilized to delineate the impact of Rician fading and jamming on the CACC system's functionality and string stability. Attacker's possible locations at which it can destabilize the string is further studied based on the proposed model. From the safety perspective, reachable states (i.e., inter-vehicle distances) of the CACC system under unreliable wireless fading channels and jamming attacks is studied. Safety verification is investigated by examining the inter-vehicle distance trajectories. We propose a methodology to compute the upper and lower bounds of the trajectories of inter-vehicle distances between the lead vehicle and its follower. We conduct extensive simulations to evaluate the system stability and safety under jamming attacks in different scenarios. We identify that channel fading can degrade the performance of the CACC system, and the platoon's safety is highly sensitive to jamming attacks. The best location to launch the jamming attack to destabilize the platoon is above the second vehicle in the platoon. The platoon is more vulnerable to jamming attacks when the lead vehicle is decelerating.

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Section: A Attack Modelmentioning

confidence: 99%

Section: B Attack and Rician Fading Model Integrationmentioning

confidence: 99%

Section: B Attack and Rician Fading Model Integrationmentioning

confidence: 99%

Section: Minimum Transmission Power To Maintain Mean String Stabilitymentioning

confidence: 99%

Section: String Stability Analysismentioning

confidence: 99%

See 3 more Smart Citations

String Stability Analysis of Cooperative Adaptive Cruise Control under Jamming Attacks

Alipour-Fanid

Dabaghchian

Zhang

et al. 2017

2017 IEEE 18th International Symposium on High Assurance Systems Engineering (HASE)

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Model Predictive Automatic Gain Control for Satellite Transponder under AWGN Jamming

Bao,

Cheng,

Shen

et al. 2024

2024 IEEE Aerospace Conference

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PID-based automatic gain control for satellite transponder under partial-time partial-band AWGN jamming

Bao

Peng

Pham³

et al. 2023

Sensors and Systems for Space Applications XVI

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This paper presents a proportional-integral-derivative (PID)-based automatic gain control (AGC) approach for satellite communications attacked by partial-time partial-band additive white Gaussian noise (AWGN) jamming. The analysis based on the stochastic model predictive control (SMPC) shows that the AGC performance depends on the accurate characterization of the jammed signal in the future time instants. However, such characterization is generally unavailable. To overcome the limitations of the existing AGC schemes without considering the future trend of the signal amplitude tracking errors (i.e., the difference between the average amplitude and the desired amplitude), the proposed approach uses the derivative term of signal amplitude tracking errors for anticipatory control and the integral term in the PID control to eliminate steady-state errors. Furthermore, different block sizes of the sampled signals are used for computing and selecting gain control values to achieve a good trade-off between fast response and robustness to noise/jamming. Extensive simulations of a system based on the typical satellite transponder link using Quadrature Phase Shift Keying (QPSK) modulated input signals and AWGN noise/jamming demonstrate that the proposed approach can achieve better control performance for maintaining the desired signal amplitude range and smaller bite error rate (BER) in the case of AWGN jamming, as compared with the existing AGC schemes.

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SINR estimation for SATCOM in the environment with jamming signals

Cited by 3 publications

References 16 publications

String Stability Analysis of Cooperative Adaptive Cruise Control under Jamming Attacks

String Stability Analysis of Cooperative Adaptive Cruise Control under Jamming Attacks

Model Predictive Automatic Gain Control for Satellite Transponder under AWGN Jamming

PID-based automatic gain control for satellite transponder under partial-time partial-band AWGN jamming

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