Fig. 1. Schematic of proposed ultra-wideband signal acquisition architecture. The architecture is mainly composed of two parts: a channel-interleaved photonic analog-to-digital converter (PADC) and a dilated fully convolutional network (DFCN). E/O, electro-optical modulation; DEMUX, demultiplexer; O/E, optical-electronic conversion; EADC, electronic analog-to-digital converter; CONV, convolution; BN, batch normalization; DECONV, deconvolution.

Fig. 2. Experimental setup for the ultra-wideband signal separation architecture. AWG, arbitrary waveform generator; TA, transmitting antenna; RA, receiving antenna; AMLL, actively mode-locked laser; MZM, Mach–Zehnder modulator; EDFA, erbium-doped fiber amplifier; OTDL, optical tunable delay line; DOMZM, dual-output MZM; PD, photodetector; MG, microwave generator; PS, power splitter; FD, frequency divider; OSC, oscilloscope.

Fig. 3. (a) Training progress of our proposed network. (b), (c) The comparison of the time-frequency spectra before and after separation. (d) Ground truth of the target signal. (e) Residual between the separation result and the ground truth.

Fig. 4. Experimental results. (a) The box plot of the SNR of different signals reconstructed by DFCN on the test set. Q1, lower quartile; Q3, upper quartile. (b) Separation results of LFM signals at different amplitudes on the test set.

Fig. 5. Experimental results: average BER calculation at different epochs.

Table 1. Detailed Structure of the DFCN