Novel method based on fractional lower-order correntropy-analogous statistics for parameter jointly estimation in bistatic MIMO radar
According to the performance degradation problem of parameter estimation algorithm in the Alpha stable dis-tribution noise, inspired by the concept of correntropy, a new class of statistics, namely, the fractional lower-order cor-rentropy-analogous statistics (FCAS) was proposed. By employing the fr...
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2016-12-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2016236/ |
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| _version_ | 1841539575260905472 |
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| author | Li LI Tian-shuang QIU Ming-yan HE |
| author_facet | Li LI Tian-shuang QIU Ming-yan HE |
| author_sort | Li LI |
| collection | DOAJ |
| description | According to the performance degradation problem of parameter estimation algorithm in the Alpha stable dis-tribution noise, inspired by the concept of correntropy, a new class of statistics, namely, the fractional lower-order cor-rentropy-analogous statistics (FCAS) was proposed. By employing the fractional lower-order correntropy-analogous sta-tistics based cost function in parallel factor (PARAFAC), the FCAS-PARAFAC algorithm was deduced which can be utilized for the parallel factor under impulsive noise environments. The FCAS-PARAFAC algorithm was applied to pa-rameter estimation in bistatic MIMO radar under impulsive noise environment. The proposed method can suppress the impulse noise interference and has better estimation performance. Furthermore, the estimated parameters are automati-cally paired without the additional pairing method. Simulation results are presented to verify the effectiveness of the pro-posed method. |
| format | Article |
| id | doaj-art-54377bd9e938483daad22bc4901acc28 |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2016-12-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-54377bd9e938483daad22bc4901acc282025-01-14T07:10:54ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2016-12-0137424959705074Novel method based on fractional lower-order correntropy-analogous statistics for parameter jointly estimation in bistatic MIMO radarLi LITian-shuang QIUMing-yan HEAccording to the performance degradation problem of parameter estimation algorithm in the Alpha stable dis-tribution noise, inspired by the concept of correntropy, a new class of statistics, namely, the fractional lower-order cor-rentropy-analogous statistics (FCAS) was proposed. By employing the fractional lower-order correntropy-analogous sta-tistics based cost function in parallel factor (PARAFAC), the FCAS-PARAFAC algorithm was deduced which can be utilized for the parallel factor under impulsive noise environments. The FCAS-PARAFAC algorithm was applied to pa-rameter estimation in bistatic MIMO radar under impulsive noise environment. The proposed method can suppress the impulse noise interference and has better estimation performance. Furthermore, the estimated parameters are automati-cally paired without the additional pairing method. Simulation results are presented to verify the effectiveness of the pro-posed method.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2016236/bistatic MIMO radarparameter estimationfractional lower-order correntropy-analogous statisticsparallel factorAlpha stable distribution |
| spellingShingle | Li LI Tian-shuang QIU Ming-yan HE Novel method based on fractional lower-order correntropy-analogous statistics for parameter jointly estimation in bistatic MIMO radar Tongxin xuebao bistatic MIMO radar parameter estimation fractional lower-order correntropy-analogous statistics parallel factor Alpha stable distribution |
| title | Novel method based on fractional lower-order correntropy-analogous statistics for parameter jointly estimation in bistatic MIMO radar |
| title_full | Novel method based on fractional lower-order correntropy-analogous statistics for parameter jointly estimation in bistatic MIMO radar |
| title_fullStr | Novel method based on fractional lower-order correntropy-analogous statistics for parameter jointly estimation in bistatic MIMO radar |
| title_full_unstemmed | Novel method based on fractional lower-order correntropy-analogous statistics for parameter jointly estimation in bistatic MIMO radar |
| title_short | Novel method based on fractional lower-order correntropy-analogous statistics for parameter jointly estimation in bistatic MIMO radar |
| title_sort | novel method based on fractional lower order correntropy analogous statistics for parameter jointly estimation in bistatic mimo radar |
| topic | bistatic MIMO radar parameter estimation fractional lower-order correntropy-analogous statistics parallel factor Alpha stable distribution |
| url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2016236/ |
| work_keys_str_mv | AT lili novelmethodbasedonfractionallowerordercorrentropyanalogousstatisticsforparameterjointlyestimationinbistaticmimoradar AT tianshuangqiu novelmethodbasedonfractionallowerordercorrentropyanalogousstatisticsforparameterjointlyestimationinbistaticmimoradar AT mingyanhe novelmethodbasedonfractionallowerordercorrentropyanalogousstatisticsforparameterjointlyestimationinbistaticmimoradar |