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dc.contributor.authorYang, Zhitao
dc.contributor.authorZhang, Guanglei
dc.date.accessioned2018-07-13T20:35:05Z
dc.date.available2018-07-13T20:35:05Z
dc.date.issued2018
dc.identifier.citationYang, Zhitao; Zhang, Guanglei. 2018. The novel normalized method for interference suppression at subarray level. 2018 International Applied Computational Electromagnetics Society Symposium (ACES)en_US
dc.identifier.isbn978-0-9960-0787-0
dc.identifier.otherWOS:000435263000173
dc.identifier.urihttp://dx.doi.org/10.23919/ROPACES.2018.8364260
dc.identifier.urihttp://hdl.handle.net/10057/15386
dc.descriptionClick on the DOI link to access the article (may not be free).en_US
dc.description.abstractAs the dramatic development of the computer and digital signal process techniques, the phase array radar becomes more and more important for many different kinds of military applications. In order to survive in the complicated electromagnetic environment with different kinds of interference, the adaptive digital beamformin is adopted to suppress the interference. In addition, the signal processing is performed at the subarray level in order to save the hardware resource cost. However, the sidelobe power of the antenna pattern dramatically increases since the output power of the noise for each subarray is different. In order to solve this issue, the normalized adaptive method is proposed to maintain the same output power for each subarray. The float round-off error is also analysed for the proposed method. The simulation results show that the proposed method has good performance.en_US
dc.language.isoen_USen_US
dc.publisherIEEEen_US
dc.relation.ispartofseries2018 International Applied Computational Electromagnetics Society Symposium (ACES);
dc.subjectWirelessen_US
dc.subjectCommunicationen_US
dc.subjectPhaseen_US
dc.subjectRadaren_US
dc.subjectSignalen_US
dc.subjectInterferenceen_US
dc.subjectSuppressionen_US
dc.titleThe novel normalized method for interference suppression at subarray levelen_US
dc.typeConference paperen_US
dc.rights.holder© 2018, IEEEen_US


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