Chaotic Mapping-Based Anti-Sorting Radio Frequency Stealth Signals and Compressed Sensing-Based Echo Signal Processing Technology
Radio frequency (RF) stealth anti-sorting technology can improve the battlefield survival rate of radar and is one of the research hotspots in the radar field. In this study, the signal design principle of anti-sequential difference histogram (SDIF) sorting was explored for the main sorting algorith...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2022-10-01
|
| Series: | Entropy |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1099-4300/24/11/1559 |
| _version_ | 1797468345636749312 |
|---|---|
| author | Jinwei Jia Limin Liu Yuying Liang Zhuangzhi Han Xuetian Wang |
| author_facet | Jinwei Jia Limin Liu Yuying Liang Zhuangzhi Han Xuetian Wang |
| author_sort | Jinwei Jia |
| collection | DOAJ |
| description | Radio frequency (RF) stealth anti-sorting technology can improve the battlefield survival rate of radar and is one of the research hotspots in the radar field. In this study, the signal design principle of anti-sequential difference histogram (SDIF) sorting was explored for the main sorting algorithm of the SDIF. Furthermore, we designed a piecewise linear chaotic system with interval number parameterization based on random disturbance and proposed a method to modulate the repetition period of widely spaced signal pulses using a chaotic system. Then, considering the difficulty of the traditional signal processing method to measure the velocity of the highly random anti-sorting signals designed in this paper, we used compressed sensing (CS) technology to process the echoes of the signals to solve the velocity and distance of the detection targets. Finally, simulation verification was performed from the correctness of the signal design principle, the performance of the chaotic system, the anti-sorting performance of the designed signals and the recovery and reconstruction performance of the signals by CS. The results show that: (a) the signal design principle presented in this paper can guide the signal design correctly; (b) the performance of the piecewise linear chaotic system with interval number parameterization is better than that of the classical one-dimensional chaotic system; (c) the anti-sorting signal modulated by the chaotic system can achieve anti-SDIF sorting, and the anti-sorting signals designed in this paper can be processed to obtain the velocity and distance of the targets. |
| first_indexed | 2024-03-09T19:05:10Z |
| format | Article |
| id | doaj.art-1b9995a37d0c4e198c02368772dd14af |
| institution | Directory Open Access Journal |
| issn | 1099-4300 |
| language | English |
| last_indexed | 2024-03-09T19:05:10Z |
| publishDate | 2022-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Entropy |
| spelling | doaj.art-1b9995a37d0c4e198c02368772dd14af2023-11-24T04:36:13ZengMDPI AGEntropy1099-43002022-10-012411155910.3390/e24111559Chaotic Mapping-Based Anti-Sorting Radio Frequency Stealth Signals and Compressed Sensing-Based Echo Signal Processing TechnologyJinwei Jia0Limin Liu1Yuying Liang2Zhuangzhi Han3Xuetian Wang4Shijiazhuang Campus, Army Engineering University, Shijiazhuang 050003, ChinaShijiazhuang Campus, Army Engineering University, Shijiazhuang 050003, ChinaSchool of Aerospace Engineering, Nanchang Institute of Technology, Nanchang 330000, ChinaShijiazhuang Campus, Army Engineering University, Shijiazhuang 050003, ChinaSchool of Information and Electronics, Beijing Institute of Technology, Beijing 100081, ChinaRadio frequency (RF) stealth anti-sorting technology can improve the battlefield survival rate of radar and is one of the research hotspots in the radar field. In this study, the signal design principle of anti-sequential difference histogram (SDIF) sorting was explored for the main sorting algorithm of the SDIF. Furthermore, we designed a piecewise linear chaotic system with interval number parameterization based on random disturbance and proposed a method to modulate the repetition period of widely spaced signal pulses using a chaotic system. Then, considering the difficulty of the traditional signal processing method to measure the velocity of the highly random anti-sorting signals designed in this paper, we used compressed sensing (CS) technology to process the echoes of the signals to solve the velocity and distance of the detection targets. Finally, simulation verification was performed from the correctness of the signal design principle, the performance of the chaotic system, the anti-sorting performance of the designed signals and the recovery and reconstruction performance of the signals by CS. The results show that: (a) the signal design principle presented in this paper can guide the signal design correctly; (b) the performance of the piecewise linear chaotic system with interval number parameterization is better than that of the classical one-dimensional chaotic system; (c) the anti-sorting signal modulated by the chaotic system can achieve anti-SDIF sorting, and the anti-sorting signals designed in this paper can be processed to obtain the velocity and distance of the targets.https://www.mdpi.com/1099-4300/24/11/1559radio frequency stealthanti-sortingsignal designchaotic systemcompressed sensingsignal processing |
| spellingShingle | Jinwei Jia Limin Liu Yuying Liang Zhuangzhi Han Xuetian Wang Chaotic Mapping-Based Anti-Sorting Radio Frequency Stealth Signals and Compressed Sensing-Based Echo Signal Processing Technology Entropy radio frequency stealth anti-sorting signal design chaotic system compressed sensing signal processing |
| title | Chaotic Mapping-Based Anti-Sorting Radio Frequency Stealth Signals and Compressed Sensing-Based Echo Signal Processing Technology |
| title_full | Chaotic Mapping-Based Anti-Sorting Radio Frequency Stealth Signals and Compressed Sensing-Based Echo Signal Processing Technology |
| title_fullStr | Chaotic Mapping-Based Anti-Sorting Radio Frequency Stealth Signals and Compressed Sensing-Based Echo Signal Processing Technology |
| title_full_unstemmed | Chaotic Mapping-Based Anti-Sorting Radio Frequency Stealth Signals and Compressed Sensing-Based Echo Signal Processing Technology |
| title_short | Chaotic Mapping-Based Anti-Sorting Radio Frequency Stealth Signals and Compressed Sensing-Based Echo Signal Processing Technology |
| title_sort | chaotic mapping based anti sorting radio frequency stealth signals and compressed sensing based echo signal processing technology |
| topic | radio frequency stealth anti-sorting signal design chaotic system compressed sensing signal processing |
| url | https://www.mdpi.com/1099-4300/24/11/1559 |
| work_keys_str_mv | AT jinweijia chaoticmappingbasedantisortingradiofrequencystealthsignalsandcompressedsensingbasedechosignalprocessingtechnology AT liminliu chaoticmappingbasedantisortingradiofrequencystealthsignalsandcompressedsensingbasedechosignalprocessingtechnology AT yuyingliang chaoticmappingbasedantisortingradiofrequencystealthsignalsandcompressedsensingbasedechosignalprocessingtechnology AT zhuangzhihan chaoticmappingbasedantisortingradiofrequencystealthsignalsandcompressedsensingbasedechosignalprocessingtechnology AT xuetianwang chaoticmappingbasedantisortingradiofrequencystealthsignalsandcompressedsensingbasedechosignalprocessingtechnology |