Comparison of the CAF-DF and sage algorithms in multipath channel parameter estimation
Date
2008-07Source Title
SAM 2008 - 5th IEEE Sensor Array and Multichannel Signal Processing Workshop
Publisher
IEEE
Pages
33 - 36
Language
English
Type
Conference PaperItem Usage Stats
266
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260
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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.
Keywords
Acoustic intensityAcoustic 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
Permalink
http://hdl.handle.net/11693/26856Published Version (Please cite this version)
http://dx.doi.org/10.1109/SAM.2008.4606818Collections
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