New EM parameter estimation algorithm for a type of micro-motion SFM signal
Aiming at the problem that the existing method has high computational complexity and high SNR,a novel method of multi-component SFM signals parameter estimation based on EM algorithm was proposed as to spinning tar-get's narrow band micro-motion echoes.The echo model of spinning target and its...
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2017-09-01
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| Series: | Tongxin xuebao |
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| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2017192/ |
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| _version_ | 1841539505340809216 |
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| author | Yong-yan JIANG Shi-yuan ZHANG |
| author_facet | Yong-yan JIANG Shi-yuan ZHANG |
| author_sort | Yong-yan JIANG |
| collection | DOAJ |
| description | Aiming at the problem that the existing method has high computational complexity and high SNR,a novel method of multi-component SFM signals parameter estimation based on EM algorithm was proposed as to spinning tar-get's narrow band micro-motion echoes.The echo model of spinning target and its micro-doppler measurements based on time-frequency analysis were given.The iterative parameter estimation steps based on Gaussian mixture model and EM algorithm to measurements were established.The simulation results demonstrate that when SNR is greater than -3 dB and the SFM components are equal or greater than 2，the method can estimate the target’s micro-motion parameters e.g.projection size accurately in narrow band condition. |
| format | Article |
| id | doaj-art-5a8dda208f624a83b715cfe93facfe2c |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2017-09-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-5a8dda208f624a83b715cfe93facfe2c2025-01-14T07:13:05ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2017-09-013820120659712557New EM parameter estimation algorithm for a type of micro-motion SFM signalYong-yan JIANGShi-yuan ZHANGAiming at the problem that the existing method has high computational complexity and high SNR,a novel method of multi-component SFM signals parameter estimation based on EM algorithm was proposed as to spinning tar-get's narrow band micro-motion echoes.The echo model of spinning target and its micro-doppler measurements based on time-frequency analysis were given.The iterative parameter estimation steps based on Gaussian mixture model and EM algorithm to measurements were established.The simulation results demonstrate that when SNR is greater than -3 dB and the SFM components are equal or greater than 2，the method can estimate the target’s micro-motion parameters e.g.projection size accurately in narrow band condition.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2017192/spinningmicro-motionmulti-component SFMtime-frequency analysisEM algorithm |
| spellingShingle | Yong-yan JIANG Shi-yuan ZHANG New EM parameter estimation algorithm for a type of micro-motion SFM signal Tongxin xuebao spinning micro-motion multi-component SFM time-frequency analysis EM algorithm |
| title | New EM parameter estimation algorithm for a type of micro-motion SFM signal |
| title_full | New EM parameter estimation algorithm for a type of micro-motion SFM signal |
| title_fullStr | New EM parameter estimation algorithm for a type of micro-motion SFM signal |
| title_full_unstemmed | New EM parameter estimation algorithm for a type of micro-motion SFM signal |
| title_short | New EM parameter estimation algorithm for a type of micro-motion SFM signal |
| title_sort | new em parameter estimation algorithm for a type of micro motion sfm signal |
| topic | spinning micro-motion multi-component SFM time-frequency analysis EM algorithm |
| url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2017192/ |
| work_keys_str_mv | AT yongyanjiang newemparameterestimationalgorithmforatypeofmicromotionsfmsignal AT shiyuanzhang newemparameterestimationalgorithmforatypeofmicromotionsfmsignal |