• Laser & Optoelectronics Progress
  • Vol. 60, Issue 7, 0706004 (2023)
Zhongqing Fan*, Hong Jiang, and Zhining Wang
Author Affiliations
  • School of Information Engineering, Southwest University of Science and Technology, Mianyang 621010, Sichuan, China
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    DOI: 10.3788/LOP220553 Cite this Article Set citation alerts
    Zhongqing Fan, Hong Jiang, Zhining Wang. Estimation of Ricean Factor Based on Fitting[J]. Laser & Optoelectronics Progress, 2023, 60(7): 0706004 Copy Citation Text show less
    Flow chart of each algorithm
    Fig. 1. Flow chart of each algorithm
    Comparison of estimated results of different estimators. (a) Bais; (b) estimated value
    Fig. 2. Comparison of estimated results of different estimators. (a) Bais; (b) estimated value
    Comparison of Bias and RMSE of different estimators. (a) Bias; (b) RMSE
    Fig. 3. Comparison of Bias and RMSE of different estimators. (a) Bias; (b) RMSE
    Relationship between sample size and estimation bias. (a) Algorithm K^RFR and algorithm K^fit1; (b) algorithm K^nb and algorithm K^fit2
    Fig. 4. Relationship between sample size and estimation bias. (a) Algorithm K^RFR and algorithm K^fit1; (b) algorithm K^nb and algorithm K^fit2
    Relationship between signal to noise ratio (SNR) and estimation bias. (a) SNR is greater than or equal to 20 dB; (b) SNR is 20 dB
    Fig. 5. Relationship between signal to noise ratio (SNR) and estimation bias. (a) SNR is greater than or equal to 20 dB; (b) SNR is 20 dB
    Evaluation indexFormula(14)Formula(15)Formula(16)Formula(17)
    RMSE2.3000×10-39.3824×10-42.4190×10-35.7567×10-5
    R-square0.99740.99960.99721.0000
    Table 1. Evaluation indicators of four fitting functions
    NameAlgorithm principal functionTime complexity T(n)Spatial complexity S(n)
    Algorithm K̂12Formulas(6)and(712O1(n)+O2(n2)=O(n2)O3(n)+O4(1)=O(n)
    Algorithm K̂24Formula(8)12O1(n)+O2(1)=O(n)O3(0)+O4(1)=O(1)
    Algorithm K̂BesselFormulas(6)and(1013O1(n)+O2(n)=O(n)O3(n)+O4(1)=O(n)
    Algorithm K̂nbFormula(11)14O1(n)+O2(1)=O(n)O3(0)+O4(1)=O(1)
    Algorithm K̂RFRFormula(13)15O1(n)+O2(1)=O(n)O3(0)+O4(1)=O(1)
    Algorithm K̂fit1Formula(18)O1(n)+O2(1)=O(n)O3(0)+O4(1)=O(1)
    Algorithm K̂fit2Formula(19)O1(n)+O2(1)=O(n)O3(0)+O4(1)=O(1)
    Table 2. Algorithm complexity analysis
    NameAlgorithm principal functionSample of 50000Sample of 1000
    Run 1 timeRun 50 timesRun 1 timeRun 50 times
    Algorithm K̂12Formulas(6)and(7120.0766510.1131900.0761530.083043
    Algorithm K̂24Formula(8)120.0015640.0911900.0001670.004170
    Algorithm K̂BesselFormulas(6)and(10130.0049680.0737890.0049080.006543
    Algorithm K̂nbFormula(11)140.0020240.1537980.0005090.059606
    Algorithm K̂RFRFormula(13)150.0018360.0982460.0001870.003937
    Algorithm K̂fit1Formula(18)0.0003210.0352440.0000950.001094
    Algorithm K̂fit2Formula(19)0.0004190.0362430.0001070.001467
    Table 3. Multiple estimated running time of algorithms
    Zhongqing Fan, Hong Jiang, Zhining Wang. Estimation of Ricean Factor Based on Fitting[J]. Laser & Optoelectronics Progress, 2023, 60(7): 0706004
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