Interferometric Time Reversal Music for Small Scatterer Localization

Solimene, Raffaele; Dell’Aversano, Angela; Leone, Giovanni

doi:10.2528/pier12062103

Cited by 32 publications

(19 citation statements)

References 28 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…We further believe that the proposed strategy can be extended to a three-dimensional problem. Based on recent work [28], it is confirm that the multi-frequency MUSIC algorithm improves the single-frequency one. Analysis of structure of MUSIC-type algorithm will be the forthcoming work.…”

Section: Resultsmentioning

confidence: 91%

Structure Analysis of Single- And 2 Multi-Frequency Subspace Migrations in 3 Inverse Scattering Problems

Jo¹,

Kwon²,

Huh³

et al. 2013

PIER

View full text Add to dashboard Cite

Abstract-We carefully investigate the structure of single-and multifrequency imaging functions, that are usually employed in inverse scattering problems. Based on patterns of the singular vectors of the Multi-Static Response (MSR) matrix, we establish a relationship between imaging functions and the Bessel function. This relationship indicates certain properties of imaging functions and the reason behind enhancement in the imaging performance by multiple frequencies. Several numerical simulations with a large amount of noisy data are performed in order to support our investigation.

show abstract

Section: Resultsmentioning

confidence: 91%

Structure Analysis of Single- And 2 Multi-Frequency Subspace Migrations in 3 Inverse Scattering Problems

Jo¹,

Kwon²,

Huh³

et al. 2013

PIER

View full text Add to dashboard Cite

show abstract

“…Subsequently, for two-dimensional (2D) DOA estimation, MUSIC algorithm performs a spectrum peak search for all angles in azimuth and elevation what causes demanding computations, and makes this algorithm unsuitable for real-time user tracking. To overcome this problem a number of algorithms have been developed [4][5][6][7][8][9][10][11][12][13][14][15][16]. For 2D scenarios, ESPRIT algorithm is extended in [10], to provide both azimuth and elevation estimates.…”

Section: Introductionmentioning

confidence: 99%

Efficient Neural Network Approach for 2d Doa Estimation Based on Antenna Array Measurements

Agatonovic¹,

Stankovic²,

Milovanović³

et al. 2013

PIER

View full text Add to dashboard Cite

Abstract-In this paper, we present an efficient Artificial Neural Network (ANN)-based model to estimate both azimuth and elevation arrival angles of a signal source. To achieve this goal, the ANN model is constructed using measurement data obtained by a rectangular antenna array in the space-frequency domain. Unlike classical superresolution algorithms such as 2D MUSIC, the proposed model is capable to account for imperfections of measurement equipment as well as mutual couplings between array elements. The neural model has been verified for several angular positions and frequencies. It is shown that the use of ANN model to estimate angular positions of a signal source yields more accurate results when compared to 2D MUSIC. Moreover, the neural model significantly outperforms 2D MUSIC in terms of speed of computation.

show abstract

“…The traditional direction-of-arrival (DOA) estimation algorithms, for example, the multiple signal classification (MUSIC) and the estimation of signal parameters via rotational invariance techniques (ESPRIT) could not be used for conformal array antennas because of the varying curvature [16,17]. Indeed, the "shadow effect" of the conformal array antenna is caused by the metallic shelter, leading to the condition that not all antennas could receive the signal.…”

Section: Introductionmentioning

confidence: 99%

A Low Energy Consumption DOA Estimation Approach for Conformal Array in Ultra-Wideband

et al. 2013

View full text Add to dashboard Cite

Most direction-of-arrival (DOA) estimation approaches for conformal array suffer from high computational complexity, which cause high energy loss for the direction finding system. Thus, a low energy consumption DOA estimation algorithm for conformal array antenna is proposed in this paper. The arbitrary baseline direction finding algorithm is extended to estimate DOA for a conformal array in ultra-wideband. The rotation comparison method is adopted to solve the ambiguity of direction finding. The virtual baseline approach is used to construct the virtual elements. Theoretically, the virtual elements can be extended in the space flexibility. Four elements (both actual and virtual elements) can be used to obtain a group of solutions. The space angle estimation can be obtained by using sub-array divided technique and matrix inversion method. The stability of the proposed algorithm can be guaranteed by averaging the angles obtained by different sub-arrays. Finally, the simulation results verify the effectiveness of the proposed method with high DOA estimation accuracy and relatively low computational complexity.

show abstract

Interferometric Time Reversal Music for Small Scatterer Localization

Abstract: Abstract-The problem of localizing small scatterers (in terms of

Cited by 32 publications

References 28 publications

Structure Analysis of Single- And 2 Multi-Frequency Subspace Migrations in 3 Inverse Scattering Problems

Structure Analysis of Single- And 2 Multi-Frequency Subspace Migrations in 3 Inverse Scattering Problems

Efficient Neural Network Approach for 2d Doa Estimation Based on Antenna Array Measurements

A Low Energy Consumption DOA Estimation Approach for Conformal Array in Ultra-Wideband

Contact Info

Product

Resources

About