AI communication signal identification method and device based on block chain
A communication signal and recognition method technology, applied in the field of blockchain-based AI communication signal recognition, can solve problems such as reducing the overall performance of the blockchain system, improve convergence performance, expand application range, improve accuracy and robustness Effect
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[0186] The maximum number of samples is set to 400 and the estimated mixing matrix is set to Y=2, Q=3,
[0187] The parameters are set to ρ=0.3, ζ min =10 -6 ,
[0188] The initial estimated signal is
[0189] Z = 200, T max =200, i max = 2, v min =0, s=0.1, p=0.5, μ=0.7, ν=1.3, Q=10, U=25, δ=0.6, σ min =10 -5 ;ψ=300, ξ=1, o=2;
[0190] The signal-to-noise ratio of Gaussian noise is 15dB, and 30 iterations are performed. The simulation results are as follows figure 2 shown.
[0191] The source signal sparsity is set to 0.6, and 30 iterations are performed. The simulation results are as follows image 3 shown.
[0192] Depend on figure 2 and image 3 It can be seen that the signal identification accuracy is improved by finding the optimal initial estimated signal settings.
[0193] Compared with the traditional method, the present invention shows more superior convergence performance, which not only ensures a faster convergence speed, but also achieves a...
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