Abstract | ||
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A stop condition without prior information, applied to compressed sensing recovery in millimeter-wave detection system considering the deceptive jamming signal, is proposed in this brief. The input observation signal is extended to the case consisting of the interference that is correlated to the recovery signal. By making the sufficient statistics of the input parameters and observation values generated from the iterative process, the recovery algorithm can be stopped more appropriately. The main contribution of this brief is to propose a stop criterion to improve the efficiency of the algorithm for random modulated signal recovery. Furthermore, different modulated parameters of the random modulated signal are investigated to verify the feasibility and adaptability of the proposed method. The comparable results show greater performance and the algorithm efficiency is improved by 53.2%. |
Year | DOI | Venue |
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2021 | 10.1109/TCSII.2020.3030616 | IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS |
Keywords | DocType | Volume |
Interference, Jamming, Frequency modulation, Correlation, Compressed sensing, Circuits and systems, Machine learning algorithms, Signal recovery, compressed sensing, stop condition, random modulated signal | Journal | 68 |
Issue | ISSN | Citations |
4 | 1549-7747 | 0 |
PageRank | References | Authors |
0.34 | 0 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Xinyu Dao | 1 | 0 | 1.01 |
Min Gao | 2 | 41 | 11.02 |
Zhuangzhi Han | 3 | 0 | 2.03 |