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dc.contributor.authorJunita, Mohd Nordin
dc.contributor.authorAnuar, Mat Safar
dc.contributor.authorAzremi, Abdullah Al Hadi
dc.contributor.authorNorshaida, Ahmad
dc.contributor.authorShariffah Zarihan, Syed Zaharim Helmi
dc.contributor.authorBukhairi, M.N
dc.date.accessioned2009-07-10T07:05:01Z
dc.date.available2009-07-10T07:05:01Z
dc.date.issued2006
dc.identifier.citationp.121-124en_US
dc.identifier.urihttp://dspace.unimap.edu.my/123456789/6423
dc.identifier.urihttp://ieeexplore.ieee.org/search/wrapper.jsp?arnumber=4133566
dc.descriptionLink to pulisher's homepage at http://ieeexplore.ieee.orgen_US
dc.description.abstractMIMO technology has attracted a lot of attention in the area of wireless communications such as radar applications, in term of increasing the spectral efficiency. This research paper will present the model of Simulated Radar Emission Environment for RWR testing using MATLAB. For the first phase of the research, the radar emission environment is modeled by modeling four directions of signals as continuous wave with different amplitude to represent their emission of power. These four directions are a distribution of 360 degrees from the aircraft. These signals are propagated through their own transmission channel, showing that they are coming from four different propagation transmissions. A LMS equalizer has been adopted to equalize and analyze the incoming signal. The main purpose of this research is to find an alternative way of testing the radar warning receiver in an indoor approach rather than taking a costly outdoor testing session from the aircraft.en_US
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineering (IEEE)en_US
dc.relation.ispartofseriesProceedings of International RF and Microwave Conference (RFM 2006)
dc.subjectLMS adaptive equalizationen_US
dc.subjectMIMOen_US
dc.subjectRadar emission environmenten_US
dc.subjectWireless communication systemsen_US
dc.subjectAntennas (Electronics)en_US
dc.subjectMIMO systemsen_US
dc.titleA MIMO LMS adaptive equalization approach in simulated radar emissionen_US
dc.typeArticleen_US


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