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Joint Angle-Amplitude Estimation for Multiple Signals with L-Structured Arrays Using Bioinspired Computing
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| Zeitschriftentitel: | Wireless Communications and Mobile Computing |
|---|---|
| Personen und Körperschaften: | |
| In: | Wireless Communications and Mobile Computing, 2017, 2017, S. 1-12 |
| Format: | E-Article |
| Sprache: | Englisch |
| veröffentlicht: |
Hindawi Limited
|
| Schlagwörter: |
| author_facet |
Zaman, Fawad Zaman, Fawad |
|---|---|
| author |
Zaman, Fawad |
| spellingShingle |
Zaman, Fawad Wireless Communications and Mobile Computing Joint Angle-Amplitude Estimation for Multiple Signals with L-Structured Arrays Using Bioinspired Computing Electrical and Electronic Engineering Computer Networks and Communications Information Systems |
| author_sort |
zaman, fawad |
| spelling |
Zaman, Fawad 1530-8669 1530-8677 Hindawi Limited Electrical and Electronic Engineering Computer Networks and Communications Information Systems http://dx.doi.org/10.1155/2017/9428196 <jats:p>The aim of this work is to estimate jointly the elevation and azimuth angles along with the amplitudes of multiple signals impinging on 1-L- and 2-L-shape arrays. An efficient mechanism based on hybrid Bioinspired techniques is proposed for this purpose. The global search optimizers such as Differential Evolution (DE) and Particle Swarm optimization (PSO) are hybridized with a local search optimizer called pattern search (PS). Approximation theory in Mean Square Error sense is exploited to develop a fitness function of the problem. The unknown parameters of multiple signals transmitted by far-field sources are estimated with the strength of hybrid DE-PS and PSO-PS. The effectiveness of the proposed techniques is tested in terms of estimation accuracy, proximity effect, convergence, and computational complexity.</jats:p> Joint Angle-Amplitude Estimation for Multiple Signals with L-Structured Arrays Using Bioinspired Computing Wireless Communications and Mobile Computing |
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Wireless Communications and Mobile Computing |
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| title |
Joint Angle-Amplitude Estimation for Multiple Signals with L-Structured Arrays Using Bioinspired Computing |
| title_unstemmed |
Joint Angle-Amplitude Estimation for Multiple Signals with L-Structured Arrays Using Bioinspired Computing |
| title_full |
Joint Angle-Amplitude Estimation for Multiple Signals with L-Structured Arrays Using Bioinspired Computing |
| title_fullStr |
Joint Angle-Amplitude Estimation for Multiple Signals with L-Structured Arrays Using Bioinspired Computing |
| title_full_unstemmed |
Joint Angle-Amplitude Estimation for Multiple Signals with L-Structured Arrays Using Bioinspired Computing |
| title_short |
Joint Angle-Amplitude Estimation for Multiple Signals with L-Structured Arrays Using Bioinspired Computing |
| title_sort |
joint angle-amplitude estimation for multiple signals with l-structured arrays using bioinspired computing |
| topic |
Electrical and Electronic Engineering Computer Networks and Communications Information Systems |
| url |
http://dx.doi.org/10.1155/2017/9428196 |
| publishDate |
2017 |
| physical |
1-12 |
| description |
<jats:p>The aim of this work is to estimate jointly the elevation and azimuth angles along with the amplitudes of multiple signals impinging on 1-L- and 2-L-shape arrays. An efficient mechanism based on hybrid Bioinspired techniques is proposed for this purpose. The global search optimizers such as Differential Evolution (DE) and Particle Swarm optimization (PSO) are hybridized with a local search optimizer called pattern search (PS). Approximation theory in Mean Square Error sense is exploited to develop a fitness function of the problem. The unknown parameters of multiple signals transmitted by far-field sources are estimated with the strength of hybrid DE-PS and PSO-PS. The effectiveness of the proposed techniques is tested in terms of estimation accuracy, proximity effect, convergence, and computational complexity.</jats:p> |
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| author | Zaman, Fawad |
| author_facet | Zaman, Fawad, Zaman, Fawad |
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| container_title | Wireless Communications and Mobile Computing |
| container_volume | 2017 |
| description | <jats:p>The aim of this work is to estimate jointly the elevation and azimuth angles along with the amplitudes of multiple signals impinging on 1-L- and 2-L-shape arrays. An efficient mechanism based on hybrid Bioinspired techniques is proposed for this purpose. The global search optimizers such as Differential Evolution (DE) and Particle Swarm optimization (PSO) are hybridized with a local search optimizer called pattern search (PS). Approximation theory in Mean Square Error sense is exploited to develop a fitness function of the problem. The unknown parameters of multiple signals transmitted by far-field sources are estimated with the strength of hybrid DE-PS and PSO-PS. The effectiveness of the proposed techniques is tested in terms of estimation accuracy, proximity effect, convergence, and computational complexity.</jats:p> |
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| series | Wireless Communications and Mobile Computing |
| source_id | 49 |
| spelling | Zaman, Fawad 1530-8669 1530-8677 Hindawi Limited Electrical and Electronic Engineering Computer Networks and Communications Information Systems http://dx.doi.org/10.1155/2017/9428196 <jats:p>The aim of this work is to estimate jointly the elevation and azimuth angles along with the amplitudes of multiple signals impinging on 1-L- and 2-L-shape arrays. An efficient mechanism based on hybrid Bioinspired techniques is proposed for this purpose. The global search optimizers such as Differential Evolution (DE) and Particle Swarm optimization (PSO) are hybridized with a local search optimizer called pattern search (PS). Approximation theory in Mean Square Error sense is exploited to develop a fitness function of the problem. The unknown parameters of multiple signals transmitted by far-field sources are estimated with the strength of hybrid DE-PS and PSO-PS. The effectiveness of the proposed techniques is tested in terms of estimation accuracy, proximity effect, convergence, and computational complexity.</jats:p> Joint Angle-Amplitude Estimation for Multiple Signals with L-Structured Arrays Using Bioinspired Computing Wireless Communications and Mobile Computing |
| spellingShingle | Zaman, Fawad, Wireless Communications and Mobile Computing, Joint Angle-Amplitude Estimation for Multiple Signals with L-Structured Arrays Using Bioinspired Computing, Electrical and Electronic Engineering, Computer Networks and Communications, Information Systems |
| title | Joint Angle-Amplitude Estimation for Multiple Signals with L-Structured Arrays Using Bioinspired Computing |
| title_full | Joint Angle-Amplitude Estimation for Multiple Signals with L-Structured Arrays Using Bioinspired Computing |
| title_fullStr | Joint Angle-Amplitude Estimation for Multiple Signals with L-Structured Arrays Using Bioinspired Computing |
| title_full_unstemmed | Joint Angle-Amplitude Estimation for Multiple Signals with L-Structured Arrays Using Bioinspired Computing |
| title_short | Joint Angle-Amplitude Estimation for Multiple Signals with L-Structured Arrays Using Bioinspired Computing |
| title_sort | joint angle-amplitude estimation for multiple signals with l-structured arrays using bioinspired computing |
| title_unstemmed | Joint Angle-Amplitude Estimation for Multiple Signals with L-Structured Arrays Using Bioinspired Computing |
| topic | Electrical and Electronic Engineering, Computer Networks and Communications, Information Systems |
| url | http://dx.doi.org/10.1155/2017/9428196 |