Name
Abstract | ||
|---|---|---|
In order to achieve information security and reliable transmission, the compressed sensing theory is applied to the narrowband interference suppression problem, which can effectively achieve narrowband interference suppression. However, due to the shortcomings of the reconstruction algorithm, such as high complexity of the algorithm, the need to know the prior degree of sparsity and long running time, it can not meet the real-time requirements of the communication system. In view of the above shortcomings, based on the SAMP algorithm which solves the problem of sparse signal reconstruction, the idea of step-by-step variable step size and back-off and the generalized Dice function are introduced as new matching metrics, and the improved ZSAMP algorithm is proposed. And applied to the interference reconstruction process. The algorithm does not need to know the sparsity a priori, inherits the effectiveness of the existing greedy algorithm, and can complete the accurate reconstruction of the narrowband interference in a shorter time. Theoretical analysis and simulation show that the new algorithm is better than the existing typical greedy iterative algorithm under the same conditions, and the signal sparsity is not overestimated and the running time is lower than the similar algorithm. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/ISCID.2019.10136 | 2019 12th International Symposium on Computational Intelligence and Design (ISCID) |
Keywords | DocType | Volume |
compressed sensing,narrowband interference,anti-interference,adaptive reconstruction | Conference | 2 |
ISSN | ISBN | Citations |
2165-1701 | 978-1-7281-4654-6 | 0 |
PageRank | References | Authors |
0.34 | 7 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yang Zhong | 1 | 0 | 0.34 |
| Chunling Liu | 2 | 0 | 1.01 |
| Ran Zhang | 3 | 33 | 13.46 |