Wideband spectrum sensing based on advanced sub-Nyquist sampling structure

Abstract As the bandwidth increases, high-speed sampling rate becomes bottleneck for development of wideband spectrum sensing. Wideband sensing with sub-Nyquist attracts more attention and modulated converter (MWC) is an attractive system. For purpose breaking system structure limit, advanced framework proposed to simplify MWC structure, adopting single channel a frequency shifting module acquire values. In order recover signal support information, matrix must be built according only one mixing function. Most existing recovery methods rely on some prior knowledge about sparsity, which difficult in practical electromagnetic environment. To address this problem, we propose adaptive residual energy detection algorithm (ARED), bypasses need above-mentioned knowledge. Simulation results show that, without requiring aforementioned knowledge, ARED based has similar performance as even higher than cases using channel.