Frequency Hopping Acquisition Based on Variable Forgetting Factor Recursive Least Squares Algorithm

The main drawback of frequency hopping pattern synchronization capture algorithms is time-consuming. To address this problem, variable forgetting factor recursive least square (VFFRLS) frequency hopping pattern acquisition algorithm is proposed in this paper. First, the coefficients of the adaptive...

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Veröffentlicht in:2022 IEEE 12th Annual Computing and Communication Workshop and Conference (CCWC) S. 1087 - 1091
Hauptverfasser: Chen, Zengmao, Zhao, Xianwu, Lu, Li, Sun, Rongchen, Sun, Zhiguo
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: IEEE 26.01.2022
Schlagworte:
acquisition
Conferences
Frequency conversion
Frequency estimation
frequency hopping
Numerical simulation
Simulation
spectrum estimation
Spread spectrum communication
Time-frequency analysis
variable forgetting factor
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Abstract The main drawback of frequency hopping pattern synchronization capture algorithms is time-consuming. To address this problem, variable forgetting factor recursive least square (VFFRLS) frequency hopping pattern acquisition algorithm is proposed in this paper. First, the coefficients of the adaptive spectrum estimation model are calculated iteratively used the VFFRLS algorithm. Then, instantaneous frequency of the frequency hopping signal is estimated, and the result is converted into a binary sequence. The most significant bit of the binary sequence is loaded into the linear feedback shift register. Finally, the correct frequency point could be obtained. The theoretical expressions of bit error rate, capture probability and average capture time are derived under the Additive White Gaussian Noise environment. Moreover, the capture performance is verified through numerical simulation.
AbstractList The main drawback of frequency hopping pattern synchronization capture algorithms is time-consuming. To address this problem, variable forgetting factor recursive least square (VFFRLS) frequency hopping pattern acquisition algorithm is proposed in this paper. First, the coefficients of the adaptive spectrum estimation model are calculated iteratively used the VFFRLS algorithm. Then, instantaneous frequency of the frequency hopping signal is estimated, and the result is converted into a binary sequence. The most significant bit of the binary sequence is loaded into the linear feedback shift register. Finally, the correct frequency point could be obtained. The theoretical expressions of bit error rate, capture probability and average capture time are derived under the Additive White Gaussian Noise environment. Moreover, the capture performance is verified through numerical simulation.
Author Zhao, Xianwu
Sun, Rongchen
Chen, Zengmao
Sun, Zhiguo
Lu, Li
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  organization: College of Information and Communication Engineering, Harbin Engineering University,Harbin,China
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  surname: Sun
  fullname: Sun, Rongchen
  organization: College of Information and Communication Engineering, Harbin Engineering University,Harbin,China
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  givenname: Zhiguo
  surname: Sun
  fullname: Sun, Zhiguo
  organization: College of Information and Communication Engineering, Harbin Engineering University,Harbin,China
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Snippet The main drawback of frequency hopping pattern synchronization capture algorithms is time-consuming. To address this problem, variable forgetting factor...
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StartPage 1087
SubjectTerms acquisition
Conferences
Frequency conversion
Frequency estimation
frequency hopping
Numerical simulation
Simulation
spectrum estimation
Spread spectrum communication
Time-frequency analysis
variable forgetting factor
Title Frequency Hopping Acquisition Based on Variable Forgetting Factor Recursive Least Squares Algorithm
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