An Enhanced Photonic-Assisted Sampling Approach for Spectrum-Sparse Signal by Compressed Sensing

Spectrum-sparse signals are vital for wideband radars and wireless communication applications. A high-speed analog-to-digital converter (ADC) with the capacities of tens gigahertz sampling rates is often required to acquire these signals. In this work, an enhanced photonic-assisted approach combination time-interleaved ADC compressed sensing techniques presented, which enables measured signal be reconstructed through very few samples by utilizing sparsity spectrum-spare signal. An ultrahigh spectral resolution Fourier dictionary introduced suppress spectrum leakage obtain actual sparse expression spectrum-sparse Moreover, a layered tracking orthogonal matching pursuit recovery algorithm employed reduce computational complexity enhance processing speed. The performance proposed has been investigated via simulations laboratory experiments varying applied over 100 times. experimental result demonstrated that can capture blind-frequency at equivalent rate 1 GS/s four parallel ADCs 50 MS/s. It proven achieves ~5 times higher than conventional PTIADC same rate. This work provides useful method acquisition in practical