2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2015
DOI: 10.1109/icassp.2015.7178249
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High-resolution through-wall ghost imaging algorithm using chaotic modulated signal

Abstract: In this paper, a novel high-resolution through-wall ghost imaging (TWGI) algorithm is proposed for detecting targets hidden behind walls. By using chaotic modulated signals, ghost imaging (GI) derived from optical image reconstruction applications is introduced and applied in through-wall imaging (TWI) scenarios to achieve high-resolution imaging capability. The scattering coefficients of the target imaging plane are treated as levels of brightness in the proposed algorithm, whose spatial distribution can be r… Show more

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Cited by 3 publications
(3 citation statements)
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“…Performing GI using microwave signals has been demonstrated to be suitable for long-range detections [13] [14] and through-wall imaging applications [12]. In this section, based on these previous research, we further deduce the feasibility of applying GI into microwave surveillance scheme using distributed antennas.…”
Section: Motivation On Applying Microwave Gimentioning
confidence: 88%
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“…Performing GI using microwave signals has been demonstrated to be suitable for long-range detections [13] [14] and through-wall imaging applications [12]. In this section, based on these previous research, we further deduce the feasibility of applying GI into microwave surveillance scheme using distributed antennas.…”
Section: Motivation On Applying Microwave Gimentioning
confidence: 88%
“…where δ is the scattering coefficient of the single point target, and τ i is the propagation delay [18]. Chaos waveforms share the same statistically-independent feature with random noise, but they are easier to be generated and controlled [12]. Therefore, in our case the S i (t) in equation (5) represents the chaotic modulated signal transmitted by the ith transmitting antenna, which can be generated using the following cubic mapping sequence,…”
Section: Microwave Gi Reconstruction Algorithmmentioning
confidence: 99%
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