5D Parameter Estimation of Near-Field Sources Using Hybrid Evolutionary Computational Techniques
Hybrid evolutionary computational technique is developed to jointly estimate the amplitude, frequency, range, and 2D direction of arrival (elevation and azimuth angles) of near-field sources impinging on centrosymmetric cross array. Specifically, genetic algorithm is used as a global optimizer, wher...
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| Format: | Article |
| Language: | English |
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Wiley
2014-01-01
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| Series: | The Scientific World Journal |
| Online Access: | http://dx.doi.org/10.1155/2014/310875 |
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| _version_ | 1832551175382106112 |
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| author | Fawad Zaman Ijaz Mansoor Qureshi |
| author_facet | Fawad Zaman Ijaz Mansoor Qureshi |
| author_sort | Fawad Zaman |
| collection | DOAJ |
| description | Hybrid evolutionary computational technique is developed to jointly estimate the amplitude, frequency, range, and 2D direction of arrival (elevation and azimuth angles) of near-field sources impinging on centrosymmetric cross array. Specifically, genetic algorithm is used as a global optimizer, whereas pattern search and interior point algorithms are employed as rapid local search optimizers. For this, a new multiobjective fitness function is constructed, which is the combination of mean square error and correlation between the normalized desired and estimated vectors. The performance of the proposed hybrid scheme is compared not only with the individual responses of genetic algorithm, interior point algorithm, and pattern search, but also with the existing traditional techniques. The proposed schemes produced fairly good results in terms of estimation accuracy, convergence rate, and robustness against noise. A large number of Monte-Carlo simulations are carried out to test out the validity and reliability of each scheme. |
| format | Article |
| id | doaj-art-3943478a2dac484da510541ecd650d2f |
| institution | Kabale University |
| issn | 2356-6140 1537-744X |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | The Scientific World Journal |
| spelling | doaj-art-3943478a2dac484da510541ecd650d2f2025-02-03T06:04:42ZengWileyThe Scientific World Journal2356-61401537-744X2014-01-01201410.1155/2014/3108753108755D Parameter Estimation of Near-Field Sources Using Hybrid Evolutionary Computational TechniquesFawad Zaman0Ijaz Mansoor Qureshi1Department of Electronic Engineering, IIU, H-10, Islamabad 44000, PakistanElectrical Department, Air University, Islamabad 44000, PakistanHybrid evolutionary computational technique is developed to jointly estimate the amplitude, frequency, range, and 2D direction of arrival (elevation and azimuth angles) of near-field sources impinging on centrosymmetric cross array. Specifically, genetic algorithm is used as a global optimizer, whereas pattern search and interior point algorithms are employed as rapid local search optimizers. For this, a new multiobjective fitness function is constructed, which is the combination of mean square error and correlation between the normalized desired and estimated vectors. The performance of the proposed hybrid scheme is compared not only with the individual responses of genetic algorithm, interior point algorithm, and pattern search, but also with the existing traditional techniques. The proposed schemes produced fairly good results in terms of estimation accuracy, convergence rate, and robustness against noise. A large number of Monte-Carlo simulations are carried out to test out the validity and reliability of each scheme.http://dx.doi.org/10.1155/2014/310875 |
| spellingShingle | Fawad Zaman Ijaz Mansoor Qureshi 5D Parameter Estimation of Near-Field Sources Using Hybrid Evolutionary Computational Techniques The Scientific World Journal |
| title | 5D Parameter Estimation of Near-Field Sources Using Hybrid Evolutionary Computational Techniques |
| title_full | 5D Parameter Estimation of Near-Field Sources Using Hybrid Evolutionary Computational Techniques |
| title_fullStr | 5D Parameter Estimation of Near-Field Sources Using Hybrid Evolutionary Computational Techniques |
| title_full_unstemmed | 5D Parameter Estimation of Near-Field Sources Using Hybrid Evolutionary Computational Techniques |
| title_short | 5D Parameter Estimation of Near-Field Sources Using Hybrid Evolutionary Computational Techniques |
| title_sort | 5d parameter estimation of near field sources using hybrid evolutionary computational techniques |
| url | http://dx.doi.org/10.1155/2014/310875 |
| work_keys_str_mv | AT fawadzaman 5dparameterestimationofnearfieldsourcesusinghybridevolutionarycomputationaltechniques AT ijazmansoorqureshi 5dparameterestimationofnearfieldsourcesusinghybridevolutionarycomputationaltechniques |