Detection Efficiency of Signal with Unknown Non-Power Parameter Using Algorithms Based on the Compressive Sensing Theory
- 作者: Golovanov D.1, Parfenov V.1
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隶属关系:
- Voronezh State University
- 期: 卷 61, 编号 8 (2018)
- 页面: 361-370
- 栏目: Article
- URL: https://journals.rcsi.science/0735-2727/article/view/177238
- DOI: https://doi.org/10.3103/S0735272718080046
- ID: 177238
如何引用文章
详细
The problem of detecting quasi-deterministic signals against the background of noise during the digital processing has been considered. In this case, at the specified detection efficiency, the minimum criterion of required arithmetic operations was used as a synthesis criterion for such algorithms. To this end, such algorithms were synthesized based on concepts of the compressive sensing theory. The computer simulation was used to check the efficiency of developed algorithms making it possible to determine the manner in which the total probability of detection errors depends on the signal-to-noise ratio and the compression ratio (ratio of the number of elements in the sufficient statistic vectors before and after “compression”). The detection efficiency losses of proposed algorithms were determined in comparison with the classical optimal algorithm in accordance with the maximum likelihood method at different values of signal-to-noise ratio and compression ratio. At the same time, the paper indicates the gain in the number of used arithmetic operations of proposed algorithms as compared to the classical one. The presented results allow us to make a sound choice of detection algorithm depending on the available hardware resources and admissible degradation of the detection efficiency.
作者简介
D. Golovanov
Voronezh State University
编辑信件的主要联系方式.
Email: golovanov@amm.vsu.ru
俄罗斯联邦, Voronezh
V. Parfenov
Voronezh State University
Email: golovanov@amm.vsu.ru
俄罗斯联邦, Voronezh