원문정보
초록
영어
Compressed sensing is a revolutionary technology in the research eld of signal processing,
which can reconstruct the sparse signal using fewer number of compressive measurements
compared with conventional reconstruction methods. Compressed sensing can also be utilized
to detect the sparse signal. However, the exact reconstruction operation is not necessary
when the system aims to detect such sparse signal. Based on compressed sensing, a new
compressive signal detection scheme using the sparsity order of the sparse signal is proposed
in this paper. Compared with similar detection scheme using the supports of the sparse
signal, the newly proposed scheme requires much fewer number of compressive samples. In
particular, the proposed scheme does not require the support prior-information of the sparse
signal. Simulation results verify the advantages of the proposed scheme and indicate that
the new scheme can achieve better detection performance.
목차
1 Introduction
2 Related Work
2.1 Compressed Sensing
2.2 System Model
2.3 Support Detection
3 Sparsity Order Detection
3.1 Sparsity Order
3.2 Sparsity Order Detection Algorithm
4 Simulations
5 Conclusion
References