Estimation of direction of arrival using information theory
نویسندگان
چکیده
منابع مشابه
Direction of Arrival Estimation
We have seen that there is a one-to-one relationship between the direction of a signal and the associated received steering vector. It should therefore be possible to invert the relationship and estimate the direction of a signal from the received signals. An antenna array therefore should be able to provide for direction of arrival estimation. We have also seen that there is a Fourier relation...
متن کاملDirection of Arrival Estimation
Array Signal Processing (ASP) is a relatively new technique in Digital Signal Processing (DSP) with many potential applications in communication and speech processing. Direction of arrival (DOA) can be estimated using different techniques evolved with ASP. It is observed that subspace method provides superior performance in resolving closely spaced sources.
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 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 کاملInformation-Preserving Spatial Filtering for Direction-of-Arrival Estimation
This work investigates the problem of directionof-arrival estimation with a large number of antennas. As in practice the number of antennas M is limited by power and hardware constraints, here the possibility to compress the receive signal, prior to the estimation task, to K < 2M real-valued outputs is discussed. Under a Bayesian perspective, we state the problem of finding a linear spatial fil...
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ژورنال
عنوان ژورنال: IEEE Signal Processing Letters
سال: 2005
ISSN: 1070-9908
DOI: 10.1109/lsp.2005.849546