Second order cone programming for source localization using acoustic energy measurements - Details

author：

Zhang, Jian (Zhang, Jian.) ^[1] | Cao, Ping (Cao, Ping.) ^[2] | Yuan, Xin (Yuan, Xin.) ^[3]

Indexed by：

EI Scopus

Abstract：

Second　order　cone　programming　(SOCP)　method　is　introduced　to　derive　the　source　location　by　relaxing　the　acoustic　energy　measurement　model　into　convex　optimization.　The　corresponding　LS-SOCP　and　WLS-SOCP　algorithm　are　proposed　for　acoustic　energy-based　source　localization.　Due　to　fewer　variables　and　equality　constraints,　SOCP　runs　faster　than　semidefinite　programming　(SDP)　algorithm　for　the　same　given　model.　The　simulations　show　that　the　MSE　performance　degrades　as　the　noise　increases.　The　MSE　of　WLS-SOCP　and　LS-SOCP　is　reduced　when　the　average　energy　is　increased.　The　MSE　performance　of　WLS-SOCP　algorithm　is　better　than　that　of　the　LS-SOCP　by　using　the　optimal　weight.　©　2015　by　Binary　Information　Press.

Keyword：

Algorithms Convex optimization Electric power measurement Optimization Wireless sensor networks

Community：

[ 1 ] [Zhang, Jian]School of Air Transportation, Shanghai University of Engineering Science, Shanghai, China
[ 2 ] [Zhang, Jian]School of Computer Science, Fudan University, Shanghai, China
[ 3 ] [Cao, Ping]School of Economics and Management, Fuzhou University, Fuzhou, China
[ 4 ] [Yuan, Xin]College of Information Engineering, Zhejiang A&F University, Hangzhou, China

Reprint 's Address：

[zhang, jian]school of air transportation, shanghai university of engineering science, shanghai, china;;[zhang, jian]school of computer science, fudan university, shanghai, china

Email：

zhangj9860@sina.com

Show more details

Version：