| dc.contributor.author | Yang, Zhitao | |
| dc.contributor.author | Zhang, Leiguang | |
| dc.date.accessioned | 2018-04-01T03:34:41Z | |
| dc.date.available | 2018-04-01T03:34:41Z | |
| dc.date.issued | 2017 | |
| dc.identifier.citation | Yang, Zhitao; Zhang, Leiguang. 2017. The novel adaptive weight algorithms for phase array radar. 2017 International Conference on Wavelet Analysis and Pattern Recognition (ICWAPR), pp 28-32 | en_US |
| dc.identifier.isbn | 978-1-5386-0412-0 | |
| dc.identifier.other | WOS:000426943600006 | |
| dc.identifier.uri | http://dx.doi.org/10.1109/ICWAPR.2017.8076658 | |
| dc.identifier.uri | http://hdl.handle.net/10057/14783 | |
| dc.description | Click on the DOI link to access the article (may not be free). | en_US |
| dc.description.abstract | The adaptive weight at the subarray level is very important for the phase array radar. The phase array radar is widely used in the modern military. The adaptive weight algorithms are proposed to perform the interference decrease at the subarray level. In addition, the main lobe maintains good performance. The float calculation error effect is introduced and the importance of the float calculation error to the adaptive beamforming is shown. The simulation results show the float calculation error effect under proposed adaptive weight algorithms. | en_US |
| dc.language.iso | en_US | en_US |
| dc.publisher | IEEE | en_US |
| dc.relation.ispartofseries | 2017 International Conference on Wavelet Analysis and Pattern Recognition (ICWAPR); | |
| dc.title | The novel adaptive weight algorithms for phase array radar | en_US |
| dc.type | Conference paper | en_US |
| dc.rights.holder | © 2017, IEEE | en_US |
