Güldoǧan, Mehmet BurakArıkan, Orhan2016-02-082016-02-082008-04http://hdl.handle.net/11693/26826Date of Conference: 20-22 April 2008Conference name: IEEE 16th Signal Processing, Communication and Applications Conference, SIU 2008Bu bildiride, Çapraz Belirsizlik İşlevi-Yön Bulma (CAFDF) tekniğinin çokyollu ortamlardaki sinyallerin zaman gecikmesi, Doppler kayması, geliş yönü(GY) ve genlik kestirimindeki başarımı ile yiiksek çözünürlüklü algoritmalar olan Uzay-Almaşan Genelleşmiş Beklenti-Enbüyüitme (SAGE) ve Çoklu Sinyal Sınıflandırılması(MUSIC)'in sentetik sinyaller iizerindeki başarımları kıyaslanmıştır. Algoritmalann performansları, kök Ortalama Karesel Hata (kOKH) cinsinden degişik işaret Gürültü Oranı (iGO) değerlerinde Monte Carlo denemelerine dayalı olarak sunulmuştur. Sentetik kanallarda istatiksel kıyaslama amaçlı Cramer-Rao alt sınırları eklenmiştir. Simülasyon sonuçları göstermektedir ki, orta ve düşük iGO değerlerinde CAF-DF diğer iki algoritmaya göre üstünlük sağlamaktadır.In this paper, recently proposed Cross Ambiguity Function Direction Finding (CAF-DF) array signal processing technique, which make use of the cross ambiguity function calculation, is compared with the MUltiple SIgnal Classification (MUSIC) and Space Alternating Generalized Expectation Maximization (SAGE) techniques. The CAF-DF 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 algorithms are tested on synthetic signals in terms of root Mean Squared Error (rMSE) for different Signal-to-Noise Ratio (SNR) values based on Monte Carlo trials. For statistical comparisons Cramer-Rao lower bound is included. Obtained results show that CAF-DF technique is superior to its alternatives for medium and low SNR values. ©2008 IEEE.TurkishArray signal processing techniquesCross ambiguity functionsDf techniquesDirection findingsDoppler shiftsGeneralized expectation maximizationsImpinging signalsLow snrLower boundsMonte Carlo trialsMultipath environmentsMultiple Signal classificationsPerformance analysesRoot mean squared errorsSignal-to-Noise ratiosSpace alternatingStatistical comparisonsSynthetic signalsTime- delaysAcoustic intensityControl theoryCramer-Rao boundsDirection of arrivalFluorescenceProbability density functionRadio direction finding systemsRoom and pillar miningSemanticsSignal filtering and predictionSignal processingWavelet analysisWireless telecommunication systemsSignal to noise ratioConference Paper10.1109/SIU.2008.4632672