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A Sparse Signal Reconstruction Perspective for
Source Localization With Sensor Arrays
Dmitry Malioutov, Student Member, IEEE, Müjdat Ç etin, Member, IEEE, and Alan S. Willsky, Fellow, I-A Sparse Signal Reconstruction Perspective for
Source
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针对无线传感器网络在节点均匀分布的情况下节点定位精度较差的问题，提出了三边质心定位算法．该算法利用节点均匀分布的先验信息将质心定位思想引入到三边测量法中-For wireless sensor network nodes uniformly distributed in the case of poor positioning accuracy node problem, a trilateral centroid localization algorithm. The algorithm us
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wireless sensor network localization estimation using distance vector one hop
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TDOA localization with noisy sensor position
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TDOA localization with noisy sensor positions and moving source
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二维情况的chan定位算法，1994年原版论文代码实现，可以支持远近和linear nonlinear四种模式(2 dimension chan algorithm, TDOA localization. Including near, far field and linear nonlinear sensor array)
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