Compressive spectrum sensing with sequences considering cross-correlation in frequency domain

In this paper, we propose a compressive spectrum sensing method using sequences with low cross-correlation in frequency domain. Instead of satisfying conventional restricted isometry property, the proposed scheme tries to improve signal detection performance directly. Simulation results prove that the proposed method significantly improve system performance.