Time-frequency analysis of freqency-hopping signals based on sparse recovery
To overcome the common shortcomings shared by the existing methods: weak suppression noise interference and feeble performance of time-frequency concentration,a novel time-frequency analysis method based on sparse repre-sentation was developed,which could get clear and concentrate time-frequency rep...
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2013-05-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2013.05.012/ |
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| _version_ | 1841539839210553344 |
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| author | Zhi-chao SHA Zhi-tao HUANG Yi-yu ZHOU Jun-hua WANG |
| author_facet | Zhi-chao SHA Zhi-tao HUANG Yi-yu ZHOU Jun-hua WANG |
| author_sort | Zhi-chao SHA |
| collection | DOAJ |
| description | To overcome the common shortcomings shared by the existing methods: weak suppression noise interference and feeble performance of time-frequency concentration,a novel time-frequency analysis method based on sparse repre-sentation was developed,which could get clear and concentrate time-frequency representation.Firstly,the unconstrained sparse representation model of FH signals was established according to the punish function theory.Then,the guideline of punish parameters were analysed theoretically and got time-frequency representation by sloving the optimization problem used approximate l<sub>0</sub>norm finally.The simulation results show that this method is capable of getting clear time-frequency pattern. |
| format | Article |
| id | doaj-art-ce103b37f30c4a7baa256860eb77a0a5 |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2013-05-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-ce103b37f30c4a7baa256860eb77a0a52025-01-14T06:35:18ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2013-05-013410711259672146Time-frequency analysis of freqency-hopping signals based on sparse recoveryZhi-chao SHAZhi-tao HUANGYi-yu ZHOUJun-hua WANGTo overcome the common shortcomings shared by the existing methods: weak suppression noise interference and feeble performance of time-frequency concentration,a novel time-frequency analysis method based on sparse repre-sentation was developed,which could get clear and concentrate time-frequency representation.Firstly,the unconstrained sparse representation model of FH signals was established according to the punish function theory.Then,the guideline of punish parameters were analysed theoretically and got time-frequency representation by sloving the optimization problem used approximate l<sub>0</sub>norm finally.The simulation results show that this method is capable of getting clear time-frequency pattern.http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2013.05.012/frequency-hopping signalssparse recoverytime-frequency analysisapproximate l0norm |
| spellingShingle | Zhi-chao SHA Zhi-tao HUANG Yi-yu ZHOU Jun-hua WANG Time-frequency analysis of freqency-hopping signals based on sparse recovery Tongxin xuebao frequency-hopping signals sparse recovery time-frequency analysis approximate l0norm |
| title | Time-frequency analysis of freqency-hopping signals based on sparse recovery |
| title_full | Time-frequency analysis of freqency-hopping signals based on sparse recovery |
| title_fullStr | Time-frequency analysis of freqency-hopping signals based on sparse recovery |
| title_full_unstemmed | Time-frequency analysis of freqency-hopping signals based on sparse recovery |
| title_short | Time-frequency analysis of freqency-hopping signals based on sparse recovery |
| title_sort | time frequency analysis of freqency hopping signals based on sparse recovery |
| topic | frequency-hopping signals sparse recovery time-frequency analysis approximate l0norm |
| url | http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2013.05.012/ |
| work_keys_str_mv | AT zhichaosha timefrequencyanalysisoffreqencyhoppingsignalsbasedonsparserecovery AT zhitaohuang timefrequencyanalysisoffreqencyhoppingsignalsbasedonsparserecovery AT yiyuzhou timefrequencyanalysisoffreqencyhoppingsignalsbasedonsparserecovery AT junhuawang timefrequencyanalysisoffreqencyhoppingsignalsbasedonsparserecovery |