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The larger the value of the weighting factor implies that the energy consumption is more important than the achievable data rate of CRN.
The larger value of the weighting factor implies that the energy consumption is more important than the achievable data rate of the CRN.
In order to overcome this problem, a reasonably small value of the weighting factor should be selected to achieve good performance at the expense of slow convergence rate.
Performance analyzes of the LPIC detector using the Morozov discrepancy principle showed that the value of the weighting factor should tradeoff between two conflicting goals: convergence speed and small discrepancy error.
We recall that the value of the weighting factor λ = 0.5 means equal "confidence" of the algorithm both in the observed baseline values and in the coherence of vector and scalar measurements of the EMF.
The higher the value of the weighting factor corresponding to a sample value of the parameter, the higher possibility the parameter has the sample value in the probability distribution function to be fitted for the parameter.
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Figure 11c visualizes the values of the weighting functions Wn=1,2,3 in colors.
For specific values of the weighting factor, it reduces to the modified E-criterion, the E-criterion, or the D-criterion.
Hence, for large values of the weighting factor the discrepancy error becomes large as well and consequently the average BER of the Morozov-LPIC detector becomes large too.
This can be realized by reducing the difference between the successive residual errors e p 2 − e p + 1 2 through employing smaller values of the weighting factor ω[15].
However, with decreasing values of the weighting factor, the convergence speed decreases and more importantly the bowl-shaped curve exhibits a flat minimum.
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