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Markov model based circular frequency feature extraction method for electronic communication signal anti-jamming

Lei Yang

Lei Yang

Shunde PolytechnicFoshan, China
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Yang, Lei
  
Mar 19, 2025
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Published Online: Mar 19, 2025
Received: Oct 23, 2024
Accepted: Feb 14, 2025
DOI: https://doi.org/10.2478/amns-2025-0445
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© 2025 Lei Yang, published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Figure 1.

Three-layer wavelet packet decomposition tree diagram
Three-layer wavelet packet decomposition tree diagram

Figure 2.

Communication system that can be separated by signals
Communication system that can be separated by signals

Figure 3.

Primary signal
Primary signal

Figure 4.

Cancellation signal
Cancellation signal

Figure 5.

Pure BPSK signal
Pure BPSK signal

Figure 6.

A signal containing noise
A signal containing noise

Figure 7.

Circulating filter output(-15dB)
Circulating filter output(-15dB)

Figure 8.

Circulating filter output(-50dB)
Circulating filter output(-50dB)

Figure 9.

Extraction characteristic completeness
Extraction characteristic completeness

Figure 10.

Different methods feature extraction accuracy
Different methods feature extraction accuracy

Comparison of two filters

Signal-to-noise ratio(dB) Cyclic matching filtering/% Matched filter/%
-20 33 3.8
-15 88 15
-10 98 45
-5 100 82
0 100 92
5 100 100
10 100 100
15 100 100
20 100 100
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English
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Life Sciences, Life Sciences, other, Mathematics, Applied Mathematics, General Mathematics, Physics, Physics, other
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