Çokyollu kanal parametre kestirimi için yeni bir dizilim sinyal işleme tekniği
Author
Güldoǧan, Mehmet Burak
Arıkan, Orhan
Date
2007-06Source Title
2007 IEEE 15th Signal Processing and Communications Applications, SIU
Publisher
IEEE
Pages
[1] - [4]
Language
Turkish
Type
Conference PaperItem Usage Stats
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Metadata
Show full item recordAbstract
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 processingCross 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/11693/27049Published Version (Please cite this version)
http://dx.doi.org/10.1109/SIU.2007.4298575Collections
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