Multiple targets detection and localization based on blind estimation in wireless sensor network

P. Zhang, Xiaoyong Deng, H. Wen, Jifu Guo
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Abstract

Observations of sensors are modeled as mixed signals in multiple targets scenario. Each element of mixing matrix represents the power decay of a pair of target and sensor, and each column preserves the waveform formed by the corresponding target respectively. Making use of blind estimation algorithms, we get the estimation of mixing matrix. Target locations are then estimated using the least squares method.
无线传感器网络中基于盲估计的多目标检测与定位
将传感器的观测数据建模为多目标情况下的混合信号。混合矩阵的每一元素表示一对目标和传感器的功率衰减,每一列分别保留对应目标形成的波形。利用盲估计算法对混合矩阵进行估计。然后用最小二乘法估计目标位置。
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