Efficient Blind Estimation of Parameters for Multiple Frequency Hopping Signals via Single Channel

Zhang, Dongwei; Shang, Yaobo; Liang, Xiaolong; Lin, Jinfu

doi:10.1109/auteee56487.2022.9994298

Cited by 2 publications

(1 citation statement)

References 12 publications

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“…In Ref. [22], a parameter estimation algorithm for multiple frequency-hopping signals based on short-time Fourier transform and smoothed pseudo Wigner-Ville distribution (STFT&SPWVD) was proposed. The STFT&SPWVD algorithm combines the advantages of STFT, which avoids cross-term interference, and SPWVD, which provides higher resolution in the frequency-time domain.…”

Section: Introductionmentioning

confidence: 99%

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

Wang

Fan

et al. 2023

Electronics

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The parameter estimation of multiple frequency-hopping (multiple FH) signals with frequency-switching time is a great challenge under conditions in which the number of signals is unknown. Due to the increasing mobility of devices such as unmanned aerial vehicles (UAVs), speed of parameter estimation is even more demanding. To solve this problem, an algorithm for estimating parameters of multiple FH signals based on compressed spectrum sensing and maximum likelihood (CSML) theory is proposed in this paper. First, the received signal is split into segments of the same length, and the frequencies contained in each segment are extracted using compressed spectrum sensing and kurtosis threshold. Next, the frequencies contained in adjacent segments are compared to find the signal segment in which frequency hopping occurs and its corresponding frequency. Finally, a hopping-time fast estimation algorithm based on the maximum likelihood theory is used to estimate the hopping time. Simulation results show that the algorithm proposed in this paper can estimate the parameters of multiple FH signals quickly and accurately when the number of signals is unknown and that it is equally effective for multiple FH signals with frequency-switching time.

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Section: Introductionmentioning

confidence: 99%

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

Wang

Fan

et al. 2023

Electronics

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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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Efficient Blind Estimation of Parameters for Multiple Frequency Hopping Signals via Single Channel

Cited by 2 publications

References 12 publications

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

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

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

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