A Fast Estimation Algorithm for Parameters of Multiple Frequency-Hopping Signals Based on Compressed Spectrum Sensing and Maximum Likelihood

Li, Yixing; Wang, Furong; Fan, Gang; Liu, Yang; Ya, Zhang

doi:10.3390/electronics12081808

Cited by 3 publications

(2 citation statements)

References 36 publications

(50 reference statements)

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“…= 1. Two prerequisites must be satisfied: (1) playing π J is the best response for the jammer, and (2) the mixed strategy maximizes the UAV's utility under constraint (1). Such a mixed strategy can be produced by the following linear program:…”

Section: Proof Of Theoremmentioning

confidence: 99%

“…In scholarly circles, a comprehensive, integrated approach is often advocated. This merges various methods and techniques, summarized as follows: (1) Spectrum Sensing and Dynamic Spectrum Access: UAVs utilize spectrum sensing to identify interference or vacant frequency bands [1][2][3]. Through Dynamic Spectrum Access (DSA), UAVs adapt in real-time to less crowded channels, reducing interference [4,5];…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Adaptive Spectrum Anti-Jamming in UAV-Enabled Air-to-Ground Networks: A Bimatrix Stackelberg Game Approach

Cheng,

Xu,

Zhou

et al. 2023

Electronics

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Anti-jamming communication technology is one of the most critical technologies for establishing secure and reliable communication between unmanned aerial vehicles (UAVs) and ground units. The current research on anti-jamming technology focuses primarily on the power and spatial domains and does not target the issue of intelligent jammer attacks on communication channels. We propose a game-theoretical center frequency selection method for UAV-enabled air-to-ground (A2G) networks to address this challenge. Specifically, we model the central frequency selection problem as a Stackelberg game between the UAV and the jammer, where the UAV is the leader and the jammer is the follower. We develop a formal matrix structure for characterizing the payoff of the UAV and the jammer and theoretically prove that the mixed Nash equilibrium of such a bimatrix Stackelberg game is equivalent to the optimal solution of a linear programming model. Then, we propose an efficient game algorithm via linear programming. Building on this foundation, we champion an efficacious algorithm, underpinned by our novel linear programming solution paradigm, ensuring computational feasibility with polynomial time complexity. Simulation experiments show that our game-theoretical approach can achieve Nash equilibrium and outperform traditional schemes, including the Frequency-Hopping Spread Spectrum (FHSS) and the Random Selection (RS) schemes, in terms of higher payoff and better stability.

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Section: Proof Of Theoremmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Adaptive Spectrum Anti-Jamming in UAV-Enabled Air-to-Ground Networks: A Bimatrix Stackelberg Game Approach

Cheng,

Xu,

Zhou

et al. 2023

Electronics

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Cooperative Spectrum Sensing Based on LSTM-CNN Combination Network in Cognitive Radio System

Li¹,

Xie²,

Zhou³

2023

IEEE Access

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The Fast and Reliable Detection of Multiple Narrowband FH Signals: A Practical Framework

Aydin,

Dalveren,

Kara

et al. 2024

Sensors

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Frequency hopping (FH) is a well-known technique that is commonly used in communication systems owing to its many advantages, including its strong anti-jamming capability. In this technique, basically, radio signals are transmitted by switching the carrier between different frequency channels. As a result, the FH signal is not stationary; hence, its spectrum is expected to change over time. Therefore, the task of detection and parameter estimation of FH signals is very challenging in practice. To address this challenge, the study presented in this article proposes a method that detects and estimates the parameters of multiple narrowband FH signals. In the proposed method, first, short-time Fourier transform (STFT) is utilized to analyze FH signals, and a practical binarization process based on thresholding is used to detect FH signals. Then, a new algorithm is proposed to ensure that the center frequencies of the detected signals are successfully separated. Next, another algorithm is proposed to estimate the parameters of the detected signals. After estimating the parameters for the entire spectrum, an approach is used to detect FH signals. Lastly, the hop-clustering process is applied to separate the hops into groups without time overlap. The simulation results show that the proposed method can be an efficient way for the fast and accurate parameter estimation and detection of multiple narrowband FH signals.

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A Fast Estimation Algorithm for Parameters of Multiple Frequency-Hopping Signals Based on Compressed Spectrum Sensing and Maximum Likelihood

Cited by 3 publications

References 36 publications

Adaptive Spectrum Anti-Jamming in UAV-Enabled Air-to-Ground Networks: A Bimatrix Stackelberg Game Approach

Adaptive Spectrum Anti-Jamming in UAV-Enabled Air-to-Ground Networks: A Bimatrix Stackelberg Game Approach

Cooperative Spectrum Sensing Based on LSTM-CNN Combination Network in Cognitive Radio System

The Fast and Reliable Detection of Multiple Narrowband FH Signals: A Practical Framework

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