Chaotic signal reconstruction with application to noise radar system
<p>Abstract</p> <p>Chaotic signals are potentially attractive in engineering applications, most of which require an accurate estimation of the actual chaotic signal from a noisy background. In this article, we present an improved symbolic dynamics-based method (ISDM) for accurate e...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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SpringerOpen
2011-01-01
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| Series: | EURASIP Journal on Advances in Signal Processing |
| Subjects: | |
| Online Access: | http://asp.eurasipjournals.com/content/2011/1/2 |
| _version_ | 1818750901551104000 |
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| author | Liu Lidong Hu Jinfeng He Zishu Han Chunlin Li Huiyong Li Jun |
| author_facet | Liu Lidong Hu Jinfeng He Zishu Han Chunlin Li Huiyong Li Jun |
| author_sort | Liu Lidong |
| collection | DOAJ |
| description | <p>Abstract</p> <p>Chaotic signals are potentially attractive in engineering applications, most of which require an accurate estimation of the actual chaotic signal from a noisy background. In this article, we present an improved symbolic dynamics-based method (ISDM) for accurate estimating the initial condition of chaotic signal corrupted by noise. Then, a new method, called piecewise estimation method (PEM), for chaotic signal reconstruction based on ISDM is proposed. The reconstruction performance using PEM is much better than that using the existing initial condition estimation methods. Next, PEM is applied in a noncoherent reception noise radar scheme and an improved noncoherent reception scheme is given. The simulation results show that the improved noncoherent scheme has better correlation performance and range resolution especially at low signal-to-noise ratios (SNRs).</p> |
| first_indexed | 2024-12-18T04:27:02Z |
| format | Article |
| id | doaj.art-4bddaeb1bdd344be860f15b29cc785a5 |
| institution | Directory Open Access Journal |
| issn | 1687-6172 1687-6180 |
| language | English |
| last_indexed | 2024-12-18T04:27:02Z |
| publishDate | 2011-01-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | EURASIP Journal on Advances in Signal Processing |
| spelling | doaj.art-4bddaeb1bdd344be860f15b29cc785a52022-12-21T21:21:04ZengSpringerOpenEURASIP Journal on Advances in Signal Processing1687-61721687-61802011-01-01201112Chaotic signal reconstruction with application to noise radar systemLiu LidongHu JinfengHe ZishuHan ChunlinLi HuiyongLi Jun<p>Abstract</p> <p>Chaotic signals are potentially attractive in engineering applications, most of which require an accurate estimation of the actual chaotic signal from a noisy background. In this article, we present an improved symbolic dynamics-based method (ISDM) for accurate estimating the initial condition of chaotic signal corrupted by noise. Then, a new method, called piecewise estimation method (PEM), for chaotic signal reconstruction based on ISDM is proposed. The reconstruction performance using PEM is much better than that using the existing initial condition estimation methods. Next, PEM is applied in a noncoherent reception noise radar scheme and an improved noncoherent reception scheme is given. The simulation results show that the improved noncoherent scheme has better correlation performance and range resolution especially at low signal-to-noise ratios (SNRs).</p>http://asp.eurasipjournals.com/content/2011/1/2Signal processingnoise radarchaosparameter estimation |
| spellingShingle | Liu Lidong Hu Jinfeng He Zishu Han Chunlin Li Huiyong Li Jun Chaotic signal reconstruction with application to noise radar system EURASIP Journal on Advances in Signal Processing Signal processing noise radar chaos parameter estimation |
| title | Chaotic signal reconstruction with application to noise radar system |
| title_full | Chaotic signal reconstruction with application to noise radar system |
| title_fullStr | Chaotic signal reconstruction with application to noise radar system |
| title_full_unstemmed | Chaotic signal reconstruction with application to noise radar system |
| title_short | Chaotic signal reconstruction with application to noise radar system |
| title_sort | chaotic signal reconstruction with application to noise radar system |
| topic | Signal processing noise radar chaos parameter estimation |
| url | http://asp.eurasipjournals.com/content/2011/1/2 |
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