Multiple Target Localization with Bistatic Radar Using Heuristic Computational Intelligence Techniques
We assume Bistatic Phase Multiple Input Multiple Output radar having passive Centrosymmetric Cross Shape Sensor Array (CSCA) on its receiver. Let the transmitter of this Bistatic radar send coherent signals using a subarray that gives a fairly wide beam with a large solid angle so as to cover up any...
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| Format: | Article |
| Language: | English |
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Wiley
2015-01-01
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| Series: | International Journal of Antennas and Propagation |
| Online Access: | http://dx.doi.org/10.1155/2015/982967 |
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| author | Fawad Zaman Ijaz Mansoor Qureshi Ata Ur Rehman Shujaat Ali Khan Tanoli |
| author_facet | Fawad Zaman Ijaz Mansoor Qureshi Ata Ur Rehman Shujaat Ali Khan Tanoli |
| author_sort | Fawad Zaman |
| collection | DOAJ |
| description | We assume Bistatic Phase Multiple Input Multiple Output radar having passive Centrosymmetric Cross Shape Sensor Array (CSCA) on its receiver. Let the transmitter of this Bistatic radar send coherent signals using a subarray that gives a fairly wide beam with a large solid angle so as to cover up any potential relevant target in the near field. We developed Heuristic Computational Intelligence (HCI) based techniques to jointly estimate the range, amplitude, and elevation and azimuth angles of these multiple targets impinging on the CSCA. In this connection, first the global search optimizers, that is,are developed separately Particle Swarm Optimization (PSO) and Differential Evolution (DE) are developed separately, and, to enhance the performances further, both of them are hybridized with a local search optimizer called Active Set Algorithm (ASA). Initially, the performance of PSO, DE, PSO hybridized with ASA, and DE hybridized with ASA are compared with each other and then with some traditional techniques available in literature using root mean square error (RMSE) as figure of merit. |
| format | Article |
| id | doaj-art-8fbd073759b54bca92fe50342c90e28d |
| institution | Kabale University |
| issn | 1687-5869 1687-5877 |
| language | English |
| publishDate | 2015-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Antennas and Propagation |
| spelling | doaj-art-8fbd073759b54bca92fe50342c90e28d2025-02-03T06:06:14ZengWileyInternational Journal of Antennas and Propagation1687-58691687-58772015-01-01201510.1155/2015/982967982967Multiple Target Localization with Bistatic Radar Using Heuristic Computational Intelligence TechniquesFawad Zaman0Ijaz Mansoor Qureshi1Ata Ur Rehman2Shujaat Ali Khan Tanoli3Department of Electrical Engineering, COMSATS Institute of Information Technology, Attock Campus, Attock 43600, PakistanDepartment of Electrical Engineering, Air University, Islamabad Campus, Islamabad 44000, PakistanDepartment of Electrical Engineering, COMSATS Institute of Information Technology, Attock Campus, Attock 43600, PakistanDepartment of Electrical Engineering, COMSATS Institute of Information Technology, Attock Campus, Attock 43600, PakistanWe assume Bistatic Phase Multiple Input Multiple Output radar having passive Centrosymmetric Cross Shape Sensor Array (CSCA) on its receiver. Let the transmitter of this Bistatic radar send coherent signals using a subarray that gives a fairly wide beam with a large solid angle so as to cover up any potential relevant target in the near field. We developed Heuristic Computational Intelligence (HCI) based techniques to jointly estimate the range, amplitude, and elevation and azimuth angles of these multiple targets impinging on the CSCA. In this connection, first the global search optimizers, that is,are developed separately Particle Swarm Optimization (PSO) and Differential Evolution (DE) are developed separately, and, to enhance the performances further, both of them are hybridized with a local search optimizer called Active Set Algorithm (ASA). Initially, the performance of PSO, DE, PSO hybridized with ASA, and DE hybridized with ASA are compared with each other and then with some traditional techniques available in literature using root mean square error (RMSE) as figure of merit.http://dx.doi.org/10.1155/2015/982967 |
| spellingShingle | Fawad Zaman Ijaz Mansoor Qureshi Ata Ur Rehman Shujaat Ali Khan Tanoli Multiple Target Localization with Bistatic Radar Using Heuristic Computational Intelligence Techniques International Journal of Antennas and Propagation |
| title | Multiple Target Localization with Bistatic Radar Using Heuristic Computational Intelligence Techniques |
| title_full | Multiple Target Localization with Bistatic Radar Using Heuristic Computational Intelligence Techniques |
| title_fullStr | Multiple Target Localization with Bistatic Radar Using Heuristic Computational Intelligence Techniques |
| title_full_unstemmed | Multiple Target Localization with Bistatic Radar Using Heuristic Computational Intelligence Techniques |
| title_short | Multiple Target Localization with Bistatic Radar Using Heuristic Computational Intelligence Techniques |
| title_sort | multiple target localization with bistatic radar using heuristic computational intelligence techniques |
| url | http://dx.doi.org/10.1155/2015/982967 |
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