Focusing an arbitrary RF pulse at a distance using time-reversal techniques

Hong, Sun K.; Taddese, Biniyam Tesfaye; Drikas, Zachary B.; Anlage, Steven M.; Andreadis, T.D.

doi:10.1080/09205071.2013.805310

Cited by 12 publications

(5 citation statements)

References 21 publications

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“…The time-reversal (TR) method refers to when the response signal of a system is turned into a reversal signal and then input into the system, and the original waveform is reconstructed at the initial position. [1,2] TR has the characteristics of spatiotemporal focusing, which can be used in various fields such as pulse compression, [3][4][5] secret communication, [6,7] reversal imaging, [8,9] beam forming, [10][11][12][13] positioning, [14,15] perturbation detection, [16,17] etc. The first electromagnetic reversal system consisted of a single transmitting and receiving antenna and a reverberation chamber with a high Q value.…”

Section: Introductionmentioning

confidence: 99%

A novel power-combination method using a time-reversal pulse-compression technique

Tian

Rongwei

et al. 2023

Chinese Phys. B

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The electromagnetic time reversal (TR) technique has the characteristics of spatiotemporal focusing in time reversal cavity (TRC), which can be used for pulse compression, thus forming the electromagnetic pulse with high peak power. The time-reversed pulse compression method in single channel has high pulse compression gain. However, the single channel pulse compression can only generate a limited gain. This paper proposes a novel TR power combination method in the multichannel TRC to obtain higher peak power based on the TR pulse compression theory. First, the TR power combination model is given, and the crosstalk properties of the associated channel and the influence of the reversal performance are studied. And then, the power combination performances for the TR pulse compression, such as combined signal to noise ratio (SNR) and combined compression gain, are analyzed by numerical simulation and experimental methods. The research results show that the proposed method has obvious advantages over the pulse compression method using the single channel cavity, and is more convenient for power combination.

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Section: Introductionmentioning

confidence: 99%

A novel power-combination method using a time-reversal pulse-compression technique

Tian

Rongwei

et al. 2023

Chinese Phys. B

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“…Wave-chaotic systems exhibit extreme sensitivity to small changes in their configuration or initial wave conditions in the short wavelength regime [1]. This intriguing property of wave-chaotic systems has led to research activities in various areas, including statistical electromagnetics [2], [3], [4], [5], [6], [7], wireless communications [8], [9], wavefront shaping [10], [11], sensors [12], [13], high-power electromagnetics [14], [15], [16], acoustic, microwave and optical cavities [17], [18], [19], [20], and quantum dots [21], [22].…”

Section: Introductionmentioning

confidence: 99%

Encryption Device Based on Wave-Chaos for Enhanced Physical Security of Wireless Wave Transmission

Park,

Hong

2023

IEEE Access

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We introduce an encryption device based on a compact wave-chaotic cavity to enhance the physical security of wireless communication. The proposed encryption device is composed of a compact quasi-2D disordered cavity, where transmit signals pass through to be distorted in time before transmission. On the receiving end, the signals can only be decrypted when they pass through an identical cavity. In the absence of a proper decryption device, the signals cannot be properly decrypted. If a cavity with a different shape is used on the receiving end, vastly different wave propagation paths will prevent the signals from being decrypted, causing them to appear as noise. We experimentally demonstrate the proposed concept in an apparatus representing a wireless link.

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“…It is worth mentioning that the TR technology accomplishes self-refocusing without knowing the distribution of TR array; therefore it is no limitation in the geometry of TR array. TR theory [9] is proposed by Fink in 1989, and it has been developed in various areas, such as nondestructive testing [10], lithotripsy [11], acoustics [12], imaging [13], civil engineering [14], radar [15], communications [16], and electromagnetic [17][18][19]. Although the focusing characteristic of TR method has been studied extensively, most of published papers applied the classic idea proposed by Fink [20].…”

Section: Introductionmentioning

confidence: 99%

A Novel Virtual Time Reversal Method for Passive Direction of Arrival Estimation

Wei

Bai

et al. 2015

Mathematical Problems in Engineering

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The paper presents a new method to estimate the two-dimensional (2D) direction of arrival (DOA) (the azimuth angle and the elevation angle) of electromagnetic signal emitted from a single communication station. This method is passive and accurate in the case of low signal-noise ratio (SNR) based on the virtual time reversal (VTR) theory. In order to illustrate its principle, the theoretical formulas of VTR direction finding with uniform circular array (UCA) are derived firstly. Based on these formulas, the implementation scheme for estimating azimuth angle and elevation angle passively is then provided. In the derivation, the strict mathematical proof for compressing planar search area to a curve line is proposed, reducing the complexity of VTR algorithm greatly. Finally, the simulation experiments are performed to validate the performance of VTR algorithm. The results show that the VTR method is effective and it delivers accurate DOA estimation in the case of low SNR.

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Focusing an arbitrary RF pulse at a distance using time-reversal techniques

Cited by 12 publications

References 21 publications

A novel power-combination method using a time-reversal pulse-compression technique

A novel power-combination method using a time-reversal pulse-compression technique

Encryption Device Based on Wave-Chaos for Enhanced Physical Security of Wireless Wave Transmission

A Novel Virtual Time Reversal Method for Passive Direction of Arrival Estimation

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