Direction of Arrival Tracking by Adaptive Subspace Methods
نویسندگان
چکیده
منابع مشابه
Direction-of-Arrival Estimation Methods
6.1 Spectral Estimation Methods 6.1.1 Bartlett Method 6.2 Minimum Variance Distortionless Response Estimator 6.3 Linear Prediction Method 6.4 Maximum Entropy Method 6.5 Maximum Likelihood Method 6.6 Eigenstructure Methods 6.7 MUSIC Algorithm 6.7.1 Spectral MUSIC 6.7.2 Root-MUSIC 6.7.3 Constrained MUSIC 6.7.4 Beam Space MUSIC 6.8 Minimum Norm Method 6.9 CLOSEST Method 6.10 ESPRIT Method 6.11 Wei...
متن کاملDirection-of-Arrival Estimation Methods
6.1 Spectral Estimation Methods 6.1.1 Bartlett Method 6.2 Minimum Variance Distortionless Response Estimator 6.3 Linear Prediction Method 6.4 Maximum Entropy Method 6.5 Maximum Likelihood Method 6.6 Eigenstructure Methods 6.7 MUSIC Algorithm 6.7.1 Spectral MUSIC 6.7.2 Root-MUSIC 6.7.3 Constrained MUSIC 6.7.4 Beam Space MUSIC 6.8 Minimum Norm Method 6.9 CLOSEST Method 6.10 ESPRIT Method 6.11 Wei...
متن کاملMultiple target direction of arrival tracking
yy Abstract| A new algorithm is presented for estimating the directions of arrival of signals from an unknown number of moving signal sources. The parameter space is a countable union of cartesian products of the torus, each product space corresponding to a diierent number of signals reaching the sensor array. A Bayesian posterior probability measure is deened on this parameter space by combini...
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In many practical signal processing problems, the objective is to estimate from noisy measurements a set of constant parameters upon which the underlying true signals depend. For example, estimating the directions-of-arrival (DOAs) of impinging wavefronts given the set of signals received at an antenna array is important in fields such as radar, sonar, electronic surveillance and seismic explor...
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3 Sparse Representation and DOA estimation 7 3.1 Sparse Representation and Compressed Sensing . . . . . . . . . . . . . . . . . . . . . . . . 7 3.1.1 Problem Formulation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7 3.1.2 Convex Relaxation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8 3.1.3 `q Optimization . . . . . . . . . . . . . . . . . . . ....
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ژورنال
عنوان ژورنال: International Conference on Aerospace Sciences and Aviation Technology
سال: 2009
ISSN: 2636-364X
DOI: 10.21608/asat.2009.23529