Detection of Wideband Signal Number Based on Bootstrap Resampling
Knowing source number correctly is the precondition for most spatial spectrum estimation methods; however, many snapshots are needed when we determine number of wideband signals. Therefore, a new method based on Bootstrap resampling is proposed in this paper. First, signals are divided into some non...
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| Format: | Article |
| Language: | English |
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Wiley
2016-01-01
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| Series: | International Journal of Antennas and Propagation |
| Online Access: | http://dx.doi.org/10.1155/2016/3856727 |
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| _version_ | 1832567636210221056 |
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| author | Jiaqi Zhen |
| author_facet | Jiaqi Zhen |
| author_sort | Jiaqi Zhen |
| collection | DOAJ |
| description | Knowing source number correctly is the precondition for most spatial spectrum estimation methods; however, many snapshots are needed when we determine number of wideband signals. Therefore, a new method based on Bootstrap resampling is proposed in this paper. First, signals are divided into some nonoverlapping subbands; apply coherent signal methods (CSM) to focus them on the single frequency. Then, fuse the eigenvalues with the corresponding eigenvectors of the focused covariance matrix. Subsequently, use Bootstrap to construct the new resampling matrix. Finally, the number of wideband signals can be calculated with obtained vector sequences according to clustering technique. The method has a high probability of success under low signal to noise ratio (SNR) and small number of snapshots. |
| format | Article |
| id | doaj-art-22936389eeb64c898c33c720d6cebce2 |
| institution | Kabale University |
| issn | 1687-5869 1687-5877 |
| language | English |
| publishDate | 2016-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Antennas and Propagation |
| spelling | doaj-art-22936389eeb64c898c33c720d6cebce22025-02-03T01:00:54ZengWileyInternational Journal of Antennas and Propagation1687-58691687-58772016-01-01201610.1155/2016/38567273856727Detection of Wideband Signal Number Based on Bootstrap ResamplingJiaqi Zhen0College of Electronic Engineering, Heilongjiang University, Harbin 150080, ChinaKnowing source number correctly is the precondition for most spatial spectrum estimation methods; however, many snapshots are needed when we determine number of wideband signals. Therefore, a new method based on Bootstrap resampling is proposed in this paper. First, signals are divided into some nonoverlapping subbands; apply coherent signal methods (CSM) to focus them on the single frequency. Then, fuse the eigenvalues with the corresponding eigenvectors of the focused covariance matrix. Subsequently, use Bootstrap to construct the new resampling matrix. Finally, the number of wideband signals can be calculated with obtained vector sequences according to clustering technique. The method has a high probability of success under low signal to noise ratio (SNR) and small number of snapshots.http://dx.doi.org/10.1155/2016/3856727 |
| spellingShingle | Jiaqi Zhen Detection of Wideband Signal Number Based on Bootstrap Resampling International Journal of Antennas and Propagation |
| title | Detection of Wideband Signal Number Based on Bootstrap Resampling |
| title_full | Detection of Wideband Signal Number Based on Bootstrap Resampling |
| title_fullStr | Detection of Wideband Signal Number Based on Bootstrap Resampling |
| title_full_unstemmed | Detection of Wideband Signal Number Based on Bootstrap Resampling |
| title_short | Detection of Wideband Signal Number Based on Bootstrap Resampling |
| title_sort | detection of wideband signal number based on bootstrap resampling |
| url | http://dx.doi.org/10.1155/2016/3856727 |
| work_keys_str_mv | AT jiaqizhen detectionofwidebandsignalnumberbasedonbootstrapresampling |