Joint estimation of frequency and DOA with spatio-temporal under sampling
In order to estimate the frequency and DOA of an incident signal with sub-Nyquist spatio-temporal sampling,A novel joint estimation algorithm based on spectrum correction and Chinese remainder theorem(CRT)was proposed.Firstly,the incident signal was parallelly sampled at multiple sensors non-uniform...
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2016-05-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2016088/ |
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| author | Xiang-dong HUANG Hong-yu XIAN Zi-yang YAN Sen-xue JING |
| author_facet | Xiang-dong HUANG Hong-yu XIAN Zi-yang YAN Sen-xue JING |
| author_sort | Xiang-dong HUANG |
| collection | DOAJ |
| description | In order to estimate the frequency and DOA of an incident signal with sub-Nyquist spatio-temporal sampling,A novel joint estimation algorithm based on spectrum correction and Chinese remainder theorem(CRT)was proposed.Firstly,the incident signal was parallelly sampled at multiple sensors non-uniformly located in a sparse linear array.Then,AM spectrum corrector was employed to extract the rema of frequency and phase-difference from a small quantity of snapshots.Finally,implementing the close-form CRT on these remainders directly yields the estimates of frequency and DOA.In the proposed scheme,the spectrum corrector was shared by both the frequency estimator and the DOA es-timator,which contributed to a high utilization of the snapshots.Furthermore,compared to the existing CRT based esti-mators,the proposed estimator needs not to incorporate multiple times of temporal undersampling on a single sensor,which saves considerable time consumption and thus obtain high ability of tracking time-variant objects.Simulations verify the feasibility and the high-accuracy of the proposed joint estimator and further study shows that high reconstruc-tion probability can be realized even in low SNR cases,which present the vast potential for future development. |
| format | Article |
| id | doaj-art-4ab02432d44c4b208b8ab1063dd012de |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2016-05-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-4ab02432d44c4b208b8ab1063dd012de2025-01-14T06:55:21ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2016-05-0137212859700799Joint estimation of frequency and DOA with spatio-temporal under samplingXiang-dong HUANGHong-yu XIANZi-yang YANSen-xue JINGIn order to estimate the frequency and DOA of an incident signal with sub-Nyquist spatio-temporal sampling,A novel joint estimation algorithm based on spectrum correction and Chinese remainder theorem(CRT)was proposed.Firstly,the incident signal was parallelly sampled at multiple sensors non-uniformly located in a sparse linear array.Then,AM spectrum corrector was employed to extract the rema of frequency and phase-difference from a small quantity of snapshots.Finally,implementing the close-form CRT on these remainders directly yields the estimates of frequency and DOA.In the proposed scheme,the spectrum corrector was shared by both the frequency estimator and the DOA es-timator,which contributed to a high utilization of the snapshots.Furthermore,compared to the existing CRT based esti-mators,the proposed estimator needs not to incorporate multiple times of temporal undersampling on a single sensor,which saves considerable time consumption and thus obtain high ability of tracking time-variant objects.Simulations verify the feasibility and the high-accuracy of the proposed joint estimator and further study shows that high reconstruc-tion probability can be realized even in low SNR cases,which present the vast potential for future development.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2016088/direction of arrivalfrequency estimationundersampl gChinese remainder theorem |
| spellingShingle | Xiang-dong HUANG Hong-yu XIAN Zi-yang YAN Sen-xue JING Joint estimation of frequency and DOA with spatio-temporal under sampling Tongxin xuebao direction of arrival frequency estimation undersampl g Chinese remainder theorem |
| title | Joint estimation of frequency and DOA with spatio-temporal under sampling |
| title_full | Joint estimation of frequency and DOA with spatio-temporal under sampling |
| title_fullStr | Joint estimation of frequency and DOA with spatio-temporal under sampling |
| title_full_unstemmed | Joint estimation of frequency and DOA with spatio-temporal under sampling |
| title_short | Joint estimation of frequency and DOA with spatio-temporal under sampling |
| title_sort | joint estimation of frequency and doa with spatio temporal under sampling |
| topic | direction of arrival frequency estimation undersampl g Chinese remainder theorem |
| url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2016088/ |
| work_keys_str_mv | AT xiangdonghuang jointestimationoffrequencyanddoawithspatiotemporalundersampling AT hongyuxian jointestimationoffrequencyanddoawithspatiotemporalundersampling AT ziyangyan jointestimationoffrequencyanddoawithspatiotemporalundersampling AT senxuejing jointestimationoffrequencyanddoawithspatiotemporalundersampling |