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      Çokyollu kanal parametre kestirimi için yeni bir dizilim sinyal işleme tekniği

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      Author
      Güldoǧan, Mehmet Burak
      Arıkan, Orhan
      Date
      2007-06
      Source Title
      2007 IEEE 15th Signal Processing and Communications Applications, SIU
      Publisher
      IEEE
      Pages
      [1] - [4]
      Language
      Turkish
      Type
      Conference Paper
      Item Usage Stats
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      Abstract
      Bu bildiride, çarpraz belirsizlik işlevinin kullanıldığı yeni bir dizilim sinyal işleme tekniği önerilmektedir. Geliştirilen teknik bir algılayıcı dizilimine gelen sinyallerden herbirinin geliş yönünü (GY), zaman gecikmesini Doppler kaymasını ve genliğini dürümlü bir sekilde kestirir. Önerilen Çarpraz Belirsizlik İşlevi - Yön Bulma (ÇBI-YB) tekniği ile Çoklu Sinyal Sınıflandırması (MUSIC) algoritmasının performansları sentetik sinyaller kullanılarak kök Ortalama Karesel Hata (kOKH) cinsinden değişik işaret Gürültü Oranı (İGO) değerleri için karşılaştırılmıştır. Önerilen tekniğin başarımı kayıt edilmiş çokyollu yüksek-enlem iyonosfer verileri üzerinde irdelenmiştir. Elde edilen sonuçlar, düşük İGO değerlerinde dahi çokyollu sinyal kaynaklarını ayırmada önerilen ÇBİ-YB tekniğinin ciddi başarım artışı sağladığını göstermektedir.
       
      In this paper, a new array signal processing technique, which make use of the cross ambiguity function calculation, is proposed. Developed technique estimates direction of arrival (DOA), time delay, Doppler shift and amplitude corresponding to each impinging signal onto a sensor array in an iterative manner. Performances of the proposed technique Cross Ambiguity Function - Direction Finding (CAF-DF) and Multiple Signal Classification (MUSIC) are compared using synthetic signals in terms of root Mean Squared Error (rMSE) for different Signal-to-Noise Ratio (SNR) values. Success of the proposed technique is studied on the recorded multipath high-latitude ionosphere data. Results show that proposed CAF-DF technique increases the success rate considerably in separating signal sources even for low SNR values.
      Keywords
      Array signal processing
      Cross ambiguity function
      DF techniques
      Direction-finding
      Doppler shifting
      High-latitude ionosphere
      Low SNR
      Multi-path
      Multi-path channels
      Multiple signal classification
      Root mean squared-error
      Signal sources
      Synthetic signals
      Time delaying
      Acoustic intensity
      Channel estimation
      Direction of arrival
      Error analysis
      Estimation
      Fluorescence
      Parameter estimation
      Radio direction finding systems
      Room and pillar mining
      Semantics
      Signal filtering and prediction
      Signal to noise ratio
      Wavelet analysis
      Signal processing
      Permalink
      http://hdl.handle.net/11693/27049
      Published Version (Please cite this version)
      http://dx.doi.org/10.1109/SIU.2007.4298575
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      • Department of Electrical and Electronics Engineering 3524
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