A modified ESPRIT algorithm for signal DOA estimation

Jiang, Huiling; Yang, Gang; Lu, Guangyue

doi:10.1049/cp.2011.0647

Cited by 5 publications

(4 citation statements)

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“…They use for so called "super resolution " estimation. Many variants of the two including fast versions, MIMO versions , adaptive and smart ones are applied to location estimation for estimating TOA,DOA 12 and other parameters [5,9,10,11,12,13,14]. Both of them are essentially for estimating the frequencies of the signals.…”

Section: Estimation Theory Based Localization Methodsmentioning

confidence: 99%

“…The operators in GA 13 for example is selection, mutation and cross over to generate new generation. In the PSO 14 there are velocities and position to be updated and help converge the solutions. What is really obvious is that none of these algorithms is suitable for online positioning systems, so they are not considered so much.…”

Section: Meta-heuristic Localization Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Simulation Based Comparison of Geo-Location Methods in Wireless Networks

Balarastaghi¹,

Amini²,

Mirzavandi³

2015

IJITCS

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There are many Geo-Location techniques proposed in cellular networks. They are mainly classified based on the parameters used to extract location information. In this study it is tried to have a new look to these positioning methods and to classify them differently regardless of parameters type. We classified these techniques base on mathematical algorithms which is used to derive location information of users in the network. Such algorithms are divided into three main subclasses in here, estimation theory based (MUSIC, ESPIRIT), Metaheuristic (Genetic, PSO...) and filtering approaches (Kalman, Particle, Grid, MH ). The proofs and details of how to apply techniques are presented and the simulation results are given.

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Section: Estimation Theory Based Localization Methodsmentioning

confidence: 99%

Section: Meta-heuristic Localization Methodsmentioning

confidence: 99%

Simulation Based Comparison of Geo-Location Methods in Wireless Networks

Balarastaghi¹,

Amini²,

Mirzavandi³

2015

IJITCS

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“…However, we find that the reconstructed array output can be optimized, and some array elements in the extended propagator matrix have not been used; thus, the angle estimation performance of NC-RI-PM algorithm can be enhanced further. It is worth noting that the rotational invariance PM (RI-PM) algorithms have also been studied in [39][40][41][42], but the noncircularity of signal has not been considered.…”

Section: Introductionmentioning

confidence: 99%

DOA and Noncircular Phase Estimation of Noncircular Signal via an Improved Noncircular Rotational Invariance Propagator Method

Chen

Wang

Zhang

2015

Mathematical Problems in Engineering

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We consider the computationally efficient direction-of-arrival (DOA) and noncircular (NC) phase estimation problem of noncircular signal for uniform linear array. The key idea is to apply the noncircular propagator method (NC-PM) which does not require eigenvalue decomposition (EVD) of the covariance matrix or singular value decomposition (SVD) of the received data. Noncircular rotational invariance propagator method (NC-RI-PM) avoids spectral peak searching in PM and can obtain the closed-form solution of DOA, so it has lower computational complexity. Animproved NC-RI-PMalgorithm of noncircular signal for uniform linear array is proposed to estimate the elevation angles and noncircular phases with automatic pairing. We reconstruct the extended array output by combining the array output and its conjugated counterpart. Our algorithm fully uses the extended array elements in the improved propagator matrix to estimate the elevation angles and noncircular phases by utilizing the rotational invariance property between subarrays. Compared with NC-RI-PM, the proposed algorithm has better angle estimation performance and much lower computational load. The computational complexity of the proposed algorithm is analyzed. We also derive the variance of estimation error and Cramer-Rao bound (CRB) of noncircular signal for uniform linear array. Finally, simulation results are presented to demonstrate the effectiveness of our algorithm.

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“…The estimation of direction-of-arrival (DOA) of multiple sources is of significant interest because of its wide range of applications, such as wireless communications, teleconferencing, radar, sonar, seismic waves etc. In the past decades, lots of DOA algorithms for uniform linear array have been proposed, such as multiple signal classification (MUSIC) [1], ESPRIT [2] and modified methods [3]. The DOA estimation accuracy critically depends on array size, number of sensors, snapshots and signal-to-noise ratio (SNR).…”

Section: Introductionmentioning

confidence: 99%

Resolving manifold ambiguities for direction‐of‐arrival estimation of sparse array using semi‐circular substrates

Liu

Zhao

et al. 2013

IET Microwaves, Antennas & Propagation

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Sparse linear array has some advantages over uniform linear array in some applications. However, it is well known that sparse array always suffers from manifold ambiguity, which has significant influence on direction-of-arrival (DOA) estimation and resolution. In this study, a new method based on the multiple signal classification (MUSIC) for resolving manifold ambiguities of uncorrelated sources by using semi-circular substrate is proposed for DOA estimation of sparse array. Spurious MUSIC peak spectrums are generated because of a linear combination of the steering vectors of true DOAs. The main idea of the proposed method is to setup one or several semi-circular medium substrates at the front of some elements. The phases of these elements are changed through the refractive index and the radii of those semi-circular substrates. This treatment breaks down the previous linearity of the steering vectors for the array without adding the substrates. Thus, true DOA peaks can be discriminated according to this feature. Simulation results show good performance of the proposed method. Trivial and nontrivial ambiguities are efficiently resolved.

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A modified ESPRIT algorithm for signal DOA estimation

Cited by 5 publications

References 0 publications

Simulation Based Comparison of Geo-Location Methods in Wireless Networks

Simulation Based Comparison of Geo-Location Methods in Wireless Networks

DOA and Noncircular Phase Estimation of Noncircular Signal via an Improved Noncircular Rotational Invariance Propagator Method

Resolving manifold ambiguities for direction‐of‐arrival estimation of sparse array using semi‐circular substrates

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