Fig. 2: Performance characterization of the broadband QCS imaging. | Light: Science & Applications

Fig. 2: Performance characterization of the broadband QCS imaging.

From: 10-km passive drone detection using broadband quantum compressed sensing imaging

Fig. 2: Performance characterization of the broadband QCS imaging.The alternative text for this image may have been generated using AI.

a, b The photon-counting imaging and QCS imaging results of the projected pattern. Three integration times were selected, and the SNR of the image was calculated for each case. c SNR of the QCS imaging system versus the integration time at a dynamic frequency ranging from 10 kHz to 3.0 GHz. d SNR of the QCS imaging system versus the dynamic frequency at integration times ranging from 0.4 s to 1 s. When the integration time is 1 s, the 3 dB bandwidth measured is 2.05 GHz. e Relationships between the data compression ratio and photon count rate, and between the QCS imaging SNR and photon count rate at a dynamic frequency bandwidth of 2.05 GHz and an integration time of 1 s. When the photon count rate is 3 kcps, the data compression ratio is 1.95 × 10−6

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