Comparison of the CAF-DF and sage algorithms in multipath channel parameter estimation

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Comparison of the CAF-DF and sage algorithms in multipath channel parameter estimation.pdf (822.16 KB)

Date

2008-07

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Source Title

SAM 2008 - 5th IEEE Sensor Array and Multichannel Signal Processing Workshop

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IEEE

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Pages

33 - 36

Language

English

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Conference Paper

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Abstract

In this paper, performance of the recently proposed Cross Ambiguity Function - Direction Finding (CAF-DF) technique is compared with the Space Alternating Generalized Expectation Maximization (SAGE) technique. The CAF-DF, iteratively estimates direction of arrival (DOA), time-delay, Doppler shift and amplitude corresponding to each impinging signal onto an antenna array by utilizing the cross ambiguity function. On synthetic signals, based on Monte Carlo trials, performances of the algoritms are tested in terms of root Mean Squared Error (rMSE) at different Signal-to-Noise Ratios (SNR). Cramer-Rao lower bound is included for statistical comparisons. Simulation results indicate the superior performance of the CAF-DF technique over SAGE technique for low and medium SNR values. © 2008 IEEE.

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Keywords

Acoustic intensity , Acoustic microscopes , Amplitude modulation , Antenna accessories , Antenna arrays , Channel estimation , Chemical sensors , Control theory , Cramer-Rao bounds , Direction of arrival , Estimation , Fluorescence , Missile bases , Model structures , Parameter estimation , Radio direction finding systems , Room and pillar mining , Semantics , Sensor arrays , Sensors , Signal filtering and prediction , Signal processing , Wireless telecommunication systems , Cramer-Rao Lower bounds , Cross ambiguity function , DF techniques , Direction-finding , Doppler shifting , Monte Carlo trials , Multi-path channels , Multichannel signal processing , Noise ratios , Root mean squared-error , SAGE algorithms , Simulation results , SNR values , Space-alternating generalized expectation maximization , Statistical comparisons , Superior performance , Synthetic signals , Time delaying , Signal to noise ratio

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http://hdl.handle.net/11693/26856

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http://dx.doi.org/10.1109/SAM.2008.4606818

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Department of Electrical and Electronics Engineering