Rao and Wald tests for adaptive detection in partially homogeneous environment with a diversely polarized antenna.
This study considers Rao test and Wald test for adaptive detection based on a diversely polarized antenna (DPA) in partially homogeneous environment. The theoretical expressions for the probability of false alarm and detection are derived, and constant false alarm rate (CFAR) behaviour is remarked o...
| Publicado en: | Scientific World Journal pp. 369103 - 369104 |
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| Autores principales: | , , |
| Formato: | research Journal Article |
| Publicado: |
Wiley-Blackwell
2013
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=104109161&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 104109161 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 1537744X 1BX5 jtl: Scientific World Journal issn: 1537744X maglogo: N pubinfo: dt: 2013 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 104109161 NLM24174914 2012355252 10.1155/2013/369103 NLM24174914 PMC3791668 104109161 ppf: 369103 ppct: 1 formats: tig: atl: Rao and Wald tests for adaptive detection in partially homogeneous environment with a diversely polarized antenna. aug: au: Zhang, Chaozhu Zhang, Jing Liu, Chengyuan affil: College of Information and Communications Engineering, Harbin Engineering University, Harbin, Heilongjiang 150001, China. sug: subj: Algorithms Information Science Methods Telecommunications Signal Processing, Computer Assisted Feedback ab: This study considers Rao test and Wald test for adaptive detection based on a diversely polarized antenna (DPA) in partially homogeneous environment. The theoretical expressions for the probability of false alarm and detection are derived, and constant false alarm rate (CFAR) behaviour is remarked on. Furthermore, the monotonicities of detection probability of the two detectors are proved, and a polarization optimization detection algorithm to enhance the detection performance is proposed. The numerical simulations are conducted to attest to the validity of the above theoretical analysis and illustrate the improvement in the detection performance of the proposed optimization algorithm. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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