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Compressive sensing 을 이용한 Conformal array 에서의 DOA 추정 성능 분석
강경목(K Kang),안성배(S Ahn),김진혁(J Kim),고진환(J Koh) 대한전자공학회 2016 대한전자공학회 학술대회 Vol.2016 No.6
본 논문에서는 conformal array(CA) 에서 전파입사각(Degree Of Arrival)을 추정하기 위한 알고리즘으로써 compressive sensing 방법을 이용한다. Random 하게 배열된 array를 보정하는 방법으로 Interpolation technique과 Compressive sensing을 이용하여 보정 값을 구한 후, Beamform을 Uniform linear array(ULA)의 beamform과 흡사하게 출력할 수 있도록 시뮬레이션 하였다. 이를 이용하여 Root-MUSIC algorithm을 사용한 Direction of arrival estimation(DOA estimation)을 통해 Compressive sensing의 적용 가능성을 확인 하였다.
강경조 ( K J Kang ),윤인상 ( I S Yoon ),이방래 ( B R Lee ),강보선 ( B S Kang ) 한국액체미립화학회 2013 한국액체미립화학회 학술강연회 논문집 Vol.2013 No.-
Nanofluids are that metallic or nonmetallic nanometer-sized particles are dispersed in liquid. They can be used in various fields to increase the heat transfer rate because the thermal conductivity of nanofluids can be increased significantly. Nanofluids may be used as a good alternative of coolants in spray cooling. This study conducted experiments to compare the characteristics of sprays between water and nanofluid sprays. The radial distributions of droplet velocities and diameters of water, 0.2% wt.(weight), and 0.5% wt. Al2O3 nanofluids at the pressure of 0.2 and 0.3 MPa were measured by laser doppler instruments. The radial distributions of droplet diameters and velocities at two axial positions with water and 0.2% wt. nanofluid sprays didn’t show much difference. A big difference, however, was observed between 0.5% wt. nanofluid and water sprays. With the increase of the mass of nano-particles, the average droplet diameters were increased and the average droplet velocities were decreased.