一种新的跳频信号重构算法

为解决跳频信号压缩感知重构中稀疏度未知和稀疏字典规模庞大的问题，提出了一种基于多峰值匹配的压缩感知重构算法。i咳算法借鉴传统匹配追踪类算法结构，采用多峰值匹配原则进行原子选择，通过一次迭代确定候选集，然后利用回溯思想对候选集进行二次筛选获得支撑集，实现了跳频信号的精确重构。仿真结果表明，该算法重构性能与传统正交匹配追踪算法相近，同时重构速度大大提高。...

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Bibliographic Details
Published in计算机应用研究 Vol. 33; no. 8; pp. 2483 - 2485
Main Author 任旭 朱卫纲
Format Journal Article
LanguageChinese
Published 装备学院 研究生管理大队,北京,101416%装备学院 光电装备系,北京,101416 2016
Subjects
匹配追踪
压缩感知
多峰值匹配
跳频信号
重构算法
compressed sensing
multi-peak mat-ching
压缩感知
reconstruction algorithm
跳频信号
匹配追踪
多峰值匹配
matching pursuit
frequency hopping signals
重构算法
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Summary:为解决跳频信号压缩感知重构中稀疏度未知和稀疏字典规模庞大的问题，提出了一种基于多峰值匹配的压缩感知重构算法。i咳算法借鉴传统匹配追踪类算法结构，采用多峰值匹配原则进行原子选择，通过一次迭代确定候选集，然后利用回溯思想对候选集进行二次筛选获得支撑集，实现了跳频信号的精确重构。仿真结果表明，该算法重构性能与传统正交匹配追踪算法相近，同时重构速度大大提高。
Bibliography:51-1196/TP
This paper proposed compressed sensing reconstruction algorithm based on multi-peak matching to deal with the is- sue of blind sparsity and large scale sparse dictionary in the reconstruction of frequency hopping（FH） signals. The algorithm used the structure of matching pursuit type algorithms for reference, selected the atom according to the principle of multi-peak matching, determined candidate set through one iteration, then obtained support set from candidate set by screening in accor- dance with backtracking, ultimately led to the exact reconstruction of FH signals. Simulation results demonstrate that the re- construction performances of the proposed algorithm are comparable with those of the traditional orthogonal matching pursuit al- gorithm, meanwhile the reconstruction speed increases significantly.
Ren Xu, Zhu Weigang （a. Dept. of Graduate Management, b. Dept. of Optical ＆ Electronic Equipment, Equipment Academy, Beifing 101416, China）
frequency hopping signals; compressed sensing; reconstru
ISSN:1001-3695
DOI:10.3969/j.issn.1001-3695.2016.08.054