Research Article
5D Parameter Estimation of Near-Field Sources Using Hybrid Evolutionary Computational Techniques
Table 2
Estimation accuracy of 2 sources using 9 sensors.
| Scheme | | | | | | | | | | |
| Desired values | 6.0000 | 30.0000 | 2.0000 | 0.2618 | 2.0071 | 4.0000 | 60.0000 | 0.6000 | 1.1345 | 2.9671 | IPA | 6.0096 | 33.5342 | 2.0095 | 0.2714 | 2.0168 | 4.0095 | 63.5376 | 0.6095 | 1.1442 | 2.9767 | PS | 6.0050 | 32.7908 | 2.0051 | 0.2668 | 2.0123 | 4.0049 | 62.7546. | 0.6050 | 1.1396 | 2.9722 | GA | 6.0031 | 30.9765 | 2.0032 | 0.2649 | 2.0103 | 4.0032 | 60.9782 | 0.6030 | 1.1376 | 2.9703 | GA-IPA | 6.0020 | 30.2289 | 2.0019 | 0.2638 | 2.0091 | 4.0020 | 60.2415 | 0.6018 | 1.1367 | 2.9692 | GA-PS | 6.0007 | 30.1089 | 2.0008 | 0.2625 | 2.0078 | 4.0008 | 60.1063 | 0.6007 | 1.1352 | 2.9678 |
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