Localization Performance Enhancement Using IMM Fusion in Cricket Sensor Network
In this paper, we propose an approach for estimating a location of moving-target over a sensor field via distributed IMM estimator with multiple pseudo measurements using trilateration positioning algorithm. Pseudo measurement which indirectly measures the position of target is defined by results of trilateration positioning coordinates. As a single node only can measure the distance to the target in Cricket sensor network, the nodes need to form groups of three to be able to perform trilateration. Also, since trilateration method ignores distance sensing error, adequate error covariance information is estimated in pseudo measurement model using self tuning method. Each distinct group can make local pseudo measurements and these data are fused with local IMM estimates. With these algorithms, localization performance enhancement of moving target is achieved.
wireless sensor network interacting multiple model localization pseudo measurement data fusion
Ha-ryong Song Seok-hyoung Lee Ju-hong Yoon Vladimir Shin
School of Information and Mechatronics Gwangju Institute of Science and Technology (GIST)216 Cheomda School of Information and Mechatronics Gwangju Institute of Science and Technology (GIST) 216 Cheomd
国际会议
2010 IEEE信息与自动化国际会议(ICIA 2010)
哈尔滨
英文
1-6
2010-06-20（万方平台首次上网日期，不代表论文的发表时间）