A Modified MUSIC Algorithm for Direction of Arrival Estimation in the Presence of Antenna Array Manifold Mismatch

Kintz, Andrew; Gupta, I.J.

doi:10.1109/tap.2016.2600700

Cited by 54 publications

(34 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Vasilis Papamichael and Petros Karadimas, Member IEEE Although the focus of this paper is on diversity performance of MPA systems, the proposed electromagnetic methodology can be advantageous to other research fields requiring covariance matrix estimations, such as MIMO capacity calculations [11]- [13] and antenna systems for direction of arrival (DOA) estimation [14], [15]. In both fields, the covariance matrix was not determined via the rigorous applicability of the reciprocity principle of MPA systems [8].…”

Section: On the Covariance Matrix And Diversity Performance Evaluatiomentioning

confidence: 99%

On the Covariance Matrix and Diversity Performance Evaluation of Compact Multiport Antenna Systems

Papamichael¹,

Karadimas

2017

IEEE Trans. Antennas Propagat.

View full text Add to dashboard Cite

Abstract-In this paper, we present a new electromagnetic methodology that determines the covariance matrix of compact multi-port antenna (MPA) systems at the early design stage. Further insight to this field is provided, as contrary to existing methodologies, it rigorously relies on the reciprocity principle of MPA systems. Thus, the impact of propagation environment, termination conditions and MPA radiation characteristics as independent factors affecting performance is physically incorporated. Provided the availability of mathematical expressions for the cumulative distribution function (CDF) and probability density function (PDF) of received signal-to-noise ratio (SNR), performance can be then analytically studied via the diversity antenna gain (DAG) in terms of a) SNR enhancement at a specific outage probability (OP) level (that is DAG-OP) and b) average SNR reduction for achieving a specific average bit error rate (BER) (that is DAG-BER). Illustrative examples with performance evaluation of compact MPA systems are presented. The adopted diversity technique is the transmit antenna selection/maximal ratio combining (TAS/MRC), which for the first time is analytically studied employing realistic MPA systems. Comparisons with existing published results further demonstrate the validity and usefulness of the proposed methodology.Index Terms-Antenna diversity, Covariance matrix methodology, Diversity antenna gain, Multi-port antenna systems.

show abstract

Section: On the Covariance Matrix And Diversity Performance Evaluatiomentioning

confidence: 99%

On the Covariance Matrix and Diversity Performance Evaluation of Compact Multiport Antenna Systems

Papamichael¹,

Karadimas

2017

IEEE Trans. Antennas Propagat.

View full text Add to dashboard Cite

show abstract

“…In order to estimate the position of the target, the MP-MUSIC algorithm is introduced, which is a kind of subspace-based, high-resolution locating algorithm [ 23 , 27 ]. The polarization of the incident signals does not need to be known, which is suitable for underwater target locating.…”

Section: Underwater Target Electro-locating Methodsmentioning

confidence: 99%

“…According to [ 23 , 26 , 28 ], we give the algorithmic steps for locating the target from the original measured voltage data based on the BEM model: Step 1: Discretize the boundary of the target and calculate the boundary matrix

according to the prior information about the target. By inversing the boundary matrix, we have

.…”

Section: Underwater Target Electro-locating Methodsmentioning

confidence: 99%

“…However, they can receive the induction field from the target. In the locating procedure, we introduce the mixed polarization MUSIC algorithm, which provides good performance and does not suffer from the problem of non-convexity [ 22 , 23 ]. Different from the other MUSIC algorithms for radar, such as root-MUSIC and beamspace MUSIC, MP-MUSIC could deal with signal polarization, which is suitable for underwater electro-location.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Active Electro-Location of Objects in the Underwater Environment Based on the Mixed Polarization Multiple Signal Classification Algorithm

Shang

Guo

et al. 2018

Sensors

View full text Add to dashboard Cite

This article proposes a novel active localization method based on the mixed polarization multiple signal classification (MP-MUSIC) algorithm for positioning a metal target or an insulator target in the underwater environment by using a uniform circular antenna (UCA). The boundary element method (BEM) is introduced to analyze the boundary of the target by use of a matrix equation. In this method, an electric dipole source as a part of the locating system is set perpendicularly to the plane of the UCA. As a result, the UCA can only receive the induction field of the target. The potential of each electrode of the UCA is used as spatial-temporal localization data, and it does not need to obtain the field component in each direction compared with the conventional fields-based localization method, which can be easily implemented in practical engineering applications. A simulation model and a physical experiment are constructed. The simulation and the experiment results provide accurate positioning performance, with the help of verifying the effectiveness of the proposed localization method in underwater target locating.

show abstract

“…The key issue of target altitude measurement is to estimate its DOA from the radar echo corrupted by the multipath propagation. The most well-known existing nonparametric DOA estimation methods include subspace-based methods [5]- [8] The associate editor coordinating the review of this manuscript and approving it for publication was Chengpeng Hao . and digital beamforming (DBF) [9].…”

Section: Introductionmentioning

confidence: 99%

Target Localization in Multipath Propagation Environment Using Dictionary-Based Sparse Representation

Liu

Xia

et al. 2019

IEEE Access

View full text Add to dashboard Cite

This paper addresses the target localization problem in complex multipath propagation environment for three-dimensional (3-D) radar systems. Firstly, an approach based on the singular value decomposition (SVD) technique is developed to reduce the data dimension and formulate the joint multiple snapshot sparse representation problem in the signal subspace domain. Subsequently, a novel sparse representation based DOA estimation algorithm, combined with alternatingly iterative and dictionary refinement techniques, is proposed. The Cramér-Rao bounds (CRB) for the target DOA and attenuation coefficient estimations of multipath model are derived in closed forms. Experimental results based on both simulated data and measured data indicate that the target localization accuracy can be effectively enhanced by utilizing the proposed algorithm in complex terrain and/or limited snapshot scenarios. INDEX TERMS Cramér-Rao bound (CRB), direction of arrival (DOA) estimation, parameterized dictionary refinement, multipath propagation, sparse representation. XIANG-GEN XIA (M'97-S'00-F'09) received the B.S. degree in mathematics from Nanjing

show abstract

A Modified MUSIC Algorithm for Direction of Arrival Estimation in the Presence of Antenna Array Manifold Mismatch

Cited by 54 publications

References 22 publications

On the Covariance Matrix and Diversity Performance Evaluation of Compact Multiport Antenna Systems

On the Covariance Matrix and Diversity Performance Evaluation of Compact Multiport Antenna Systems

Active Electro-Location of Objects in the Underwater Environment Based on the Mixed Polarization Multiple Signal Classification Algorithm

Target Localization in Multipath Propagation Environment Using Dictionary-Based Sparse Representation

Contact Info

Product

Resources

About