Laser & Optoelectronics Progress, Volume. 56, Issue 3, 032001(2019)
Sky-Wave Radar Location Model Based on Improved Grey Wolf Optimization Algorithm
Figures & Tables(8)
Fig. 3. Location model implementation flow chart of sky-wave radar based on CMGWO-KELM
Fig. 4. Comparison of target prediction position and real position by CMGWO-KELM model
Fig. 5. Absolute value of the prediction error of the three models. (a) Longitude and latitude prediction error; (b) radial distance prediction error
Table 1. Benchmarking function
View tableTable 1. Benchmarking function
No. Function name Search scope Optimal value Peak f 1Sphere [-100,100] 0 Unimodal f 2Schwefel 2.22 [-10,10] 0 Unimodal f 3Rastrigin [-5.12,5.12] 0 Multimodal f 4Ackley [-32,32] 0 Multimodal
Table 2. Comparison of experimental results by improved GWO algorithm
View tableTable 2. Comparison of experimental results by improved GWO algorithm
Function Algorithm Optimal value Worst value Average value Standard deviation f 1PSO 0.054 91.180 22.093 24.477 GWO 8.820×10-30 1.160×10-25 1.722×10-26 3.072×10-26 CMGWO 3.957×10-36 1.458×10-32 2.052×10-33 3.727×10-33 f 2PSO 0.017 1.614 0.158 0.295 GWO 4.555×10-17 3.943×10-15 1.040×10-15 1.192×10-15 CMGWO 1.142×10-20 1.195×10-18 2.646×10-19 2.953×10-19 f 3PSO 2.987 15.919 7.927 3.289 GWO 0.000 12.172 2.671 3.105 CMGWO 0.000 6.233 0.661 1.685 f 4PSO 0.004 5.735 2.704 1.386 GWO 5.063×10-14 3.597×10-13 1.236×10-13 7.578×10-14 CMGWO 7.994×10-15 2.931×10-14 1.415×10-14 4.659×10-15
Table 3. Absolute value comparison of different prediction models
View tableTable 3. Absolute value comparison of different prediction models
No. Method Radial distance error /km 1 AZ Analytical method location model 20.360 2 TDOA/AZ Analytical method location model 12.691 3 TDOA/AZ-GWO-KELM location model 9.707 4 TDOA/AZ-CMGWO-KELM location model 2.944
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Ping Song, Yian Liu. Sky-Wave Radar Location Model Based on Improved Grey Wolf Optimization Algorithm[J]. Laser & Optoelectronics Progress, 2019, 56(3): 032001
Paper Information
Category: Optics in Computing
Received: Jun. 15, 2018
Accepted: Aug. 17, 2018
Published Online: Jul. 31, 2019
The Author Email: Liu Yian (Lya_wx@jiangnan.edu.cn)
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