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Conditional CramérRao Lower Bounds for DOA Estimation and Array Calibration
2014 Edition, Volume 21, March 1, 2014 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

This letter aims at deriving the Cramér-Rao lower bounds (CRLB) of the direction-of-arrival (DOA) estimation and array calibration precisions in the case of determined and unknown signals based on the assumptions of small array...

Conditional Posterior Cramér-Rao lower bounds for nonlinear recursive filtering
2009 Edition, July 1, 2009 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

Posterior Cramér Rao lower bounds (PCRLBs) [1] for sequential Bayesian estimators provide performance bounds for general nonlinear filtering problems and have been used widely for sensor management in tracking and fusion systems....

Robust high-resolution DOA estimation with array pre-calibration
2014 Edition, September 1, 2014 - EURASIP

A robust high-resolution technique for DOA estimation in the presence of array imperfections such as sensor position errors and non-uniform sensor gain is presented. When the basis matrix of a sparse DOA estimation framework is derived from an ideal...

Array calibration techniques for DOA estimation with arbitrary array using root-MUSIC algorithm
2011 Edition, May 1, 2011 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

In recent years, high-resolution Direction of Arrival (DOA) estimation with an array antenna has become indispensable for various applications such as microwave-power transmission and reception. In actual measurement, however, DOA estimation accuracy...

A Sparse-Based Approach for DOA Estimation and Array Calibration in Uniform Linear Array
2016 Edition, Volume 16, August 1, 2016 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

This paper aims at achieving a joint estimation of direction-of-arrival (DOA) and array perturbations, such as gain and phase uncertainty, mutual coupling, and sensor location error, which deteriorate the performance of the DOA estimation if...

New Conditional Posterior Cramér-Rao Lower Bounds for Nonlinear Sequential Bayesian Estimation
2012 Edition, Volume 60, October 1, 2012 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

The recursive procedure to compute the posterior Cramér-Rao lower bound (PCRLB) for sequential Bayesian estimators, derived by Tichavsky , provides an off-line performance bound for a general nonlinear filtering problem. Since the corresponding Fisher information matrix...

Joint ML calibration and DOA estimation with separated arrays
2016 Edition, March 1, 2016 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

This paper investigates parametric direction-of-arrival (DOA) estimation in a particular context: i) each sensor is characterized by an unknown complex gain and ii) the array consists of a collection of subarrays which are substantially separated from each other leading...

Off-grid DOA estimation
2015 Edition, July 1, 2015 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

This work addresses the problem of direction-of-arrival (DOA) estimation, where true DOAs are not on the sampling grid when sparse signal recovery concept is adopted. To estimate DOAs exploring its sparse property, a basis is usually required. However, off-grid issue...

LVQ Based DOA Estimation
2013 Edition, June 1, 2013 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

In this paper we present a Linear Vector Quantization (LVQ) neural network approach to estimate Direction of Arrivals (DOA) of narrowband sources. It is shown that appropriately trained LVQ networks along with a specific postprocessing scheme can successfully be used for DOA...

Conditional Posterior CramérRao Lower Bounds for Nonlinear Sequential Bayesian Estimation
2011 Edition, Volume 59, January 1, 2011 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

The posterior CramérRao lower bound (PCRLB) for sequential Bayesian estimators, which was derived by Tichavsky in 1998, provides a performance bound for a general nonlinear filtering problem. However, it is an offline bound whose corresponding Fisher information matrix (FIM)...

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