Analysis of the Time-reversal Operator for a Single Cylinder Under Two-dimensional Settings

Rao, Thella Babu; Chen, Xudong

doi:10.1163/156939306779322503

Cited by 23 publications

(18 citation statements)

References 16 publications

(15 reference statements)

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“…. , L. It is notable that, to locate all the targets, 3M must be large than the six times of the number of the targets since one target can be associated to at most six nonzero singular values [9,12,13], so that the multistatic response matrix exists zero singular values to perform the TR-MUSIC searching in theory. However, in practice, the system requires more antenna elements to achieve good performance due to the loss and noise, and so on.…”

Section: The Tr-music Algorithmmentioning

confidence: 99%

“…The mainly discussed imaging methods is chronologically listed as the iterative time reversal mirror imaging (ITRMI) [1][2][3][4][5], the decomposition of time reversal operator (DORT) [6][7][8][9][10][11][12][13] and the time reversal-multiple signal classification method (TR-MUSIC) [14][15][16][17][18][19]. The iterative time reversal mirror imaging is a most direct and intuitional method for target location and imaging considering the spatial and temporal focusing characteristics of time reversal mirror.…”

Section: Introductionmentioning

confidence: 99%

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Electromagnetic Subsurface Detection Using Subspace Signal Processing and Half-Space Dyadic Green's Function

Liu¹,

Wang²,

Xiao³

2009

PIER

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Abstract-In this paper, one of the subspace signal processing methods, namely time reversal multiple signal classification (TR-MUSIC), is firstly employed for electromagnetic subsurface detection where the multilayered dyadic Green's function is used. Therewith, one obtains the improved location and superresolution imaging for underground detecting application. The imaging pseudo-spectrum is accordingly defined for both the echo-mode and transmit-mode TR-MUSIC methods, by analyzing the obtained multistatic response matrix. Based on the theoretical formula, we carry out the numerical simulation using the half-space dyadic Green's function in noisy scenario. The results show that the MUSIC imaging algorithm achieves the enhanced resolution and the transmit-mode method gives more robust output when performance comparison of the four methods is made, therefore indicate the TR-MUSIC could be a good candidate for subsurface detection.

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Section: The Tr-music Algorithmmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Electromagnetic Subsurface Detection Using Subspace Signal Processing and Half-Space Dyadic Green's Function

Liu¹,

Wang²,

Xiao³

2009

PIER

View full text Add to dashboard Cite

show abstract

“…TRM, which has been demonstrated both theoretically and experimentally in an extensive set of ultrasonic and acoustic literatures [14][15][16][17][18][19][20], as well as in recent electromagnetic studies [21][22][23][24][25][26][27][28], is widely regarded as a powerful tool for imaging, especially in the complex environment. [29] reported a preliminary application of TRM in UWB-TWRI.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of TRM in the Complex Through Wall Environment

Zheng¹,

Zhao

Nie³

et al. 2009

PIER

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Abstract-Practical interests arising from behind-the-wall target detection, surveillance and reconnaissance et al. claim for high capability of imaging in complicated environments. Time Reversal Mirror (TRM) technique, making use of the principle of reciprocity, emerges as a promising way to deal with such complex problem. In this paper, we investigate TRM in the ultra-wideband (UWB) through wall radar imaging (TWRI) through numerical simulation. The probing region is a square room, with walls of rough surface and random media parameters. TRM is used to image the target settled in the room. We evaluate the degradation of the images when the aperture of the array is decreased or the received signals are contaminated by noises. The back projection (BP) algorithm is employed here as a comparison for imaging quality. For the case in which the random walls are changed between the forward and inverse phase of time reversal, we check the imaging stability and applied an averaged Green's function to improve the imaging quality. Finally, some interesting conclusions are drawn.

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“…Considering the features of the complex environment in TWR imaging, this communication induces the time reversal mirror (TRM) technique to TWR. The TRM has been demonstrated both theoretically and experimentally in an extensive set of ultrasonic and acoustic measurements [17][18][19][20][21][22][23], as well as in recent electromagnetic studies [24][25][26][27][28][29][30][31]. It can provide a high-resolution image in both spatial and temporal.…”

Section: Introductionmentioning

confidence: 99%

Application of TRM in the Uwb Through Wall Radar

Zheng¹,

Zhao²,

Nie³

2008

PIER

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Abstract-Time Reversal Mirror (TRM) technique, in the virtue of its high resolution in the heterogeneous media, has been widely applied in the area of acoustics and electromagnetics. In this paper, the technique is developed to imaging targets in the contest of ultra-wideband (UWB) through wall radar (TWR) through numerical simulation. We firstly consider the technique to image targets behind a single-layered wall and then extend to the multi-layered wall. The simulation results have reported the imaging capability of the algorithm and its powerful use for TWR imaging. For concerning the image stability, we investigate the TRM images for the case in which there is a mismatch between the walls associated with the forward and inverse phases of time reversal. The back projection imaging algorithm is compared here at the same time for a contrast of the imaging quality. Finally, some conclusions are drawn.

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Analysis of the Time-reversal Operator for a Single Cylinder Under Two-dimensional Settings

Cited by 23 publications

References 16 publications

Electromagnetic Subsurface Detection Using Subspace Signal Processing and Half-Space Dyadic Green's Function

Electromagnetic Subsurface Detection Using Subspace Signal Processing and Half-Space Dyadic Green's Function

Evaluation of TRM in the Complex Through Wall Environment

Application of TRM in the Uwb Through Wall Radar

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