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      Multipath separation-direction of arrival (MS-DOA) with genetic search algorithm for HF channels

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      Author
      Arikan, F.
      Koroglu, O.
      Fidan, S.
      Arıkan, Orhan
      Guldogan, M. B.
      Date
      2009
      Source Title
      Advances in Space Research
      Print ISSN
      0273-1177
      Publisher
      ELSEVIER
      Volume
      44
      Issue
      6
      Pages
      641 - 652
      Language
      English
      Type
      Article
      Item Usage Stats
      140
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      104
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      Abstract
      Direction-of-Arrival (DOA) defines the estimation of arrival angles of an electromagnetic wave impinging on a set of sensors. For dispersive and time-varying HF channels, where the propagating wave also suffers from the multipath phenomena, estimation of DOA is a very challenging problem. Multipath Separation-Direction of Arrival (MS-DOA), that is developed to estimate both the arrival angles in elevation and azimuth and the incoming signals at the output of the reference antenna with very high accuracy, proves itself as a strong alternative in DOA estimation for HF channels. In MS-DOA, a linear system of equations is formed using the coefficients of the basis vector for the array output vector, the incoming signal vector and the array manifold. The angles of arrival in elevation and azimuth are obtained as the maximizers of the sum of the magnitude squares of the projection of the signal coefficients on the column space of the array manifold. In this study, alternative Genetic Search Algorithms (GA) for the maximizers of the projection sum are investigated using simulated and experimental ionospheric channel data. It is observed that GA combined with MS-DOA is a powerful alternative in online DOA estimation and can be further developed according to the channel characteristics of a specific HF link.
      Keywords
      Direction finding (DF)
      Direction of arrival (DOA)
      Genetic algorithm (GA)
      HF channel
      Ionosphere
      Multipath separation and direction of arrival (MS-DOA) estimation
      Permalink
      http://hdl.handle.net/11693/22626
      Published Version (Please cite this version)
      http://dx.doi.org/10.1016/j.asr.2008.09.037
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