Department of Communication Science and Engineering, Fudan University, Shanghai 200433, China;
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Published Online
2006-03-05
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Abstract
The distance-loss model is amended by inserting a random distance-estimation variable. The estimation error is very small; thus, it does not change the log-normal distribution of the shadowing factor in the model. Then, an iterative method is introduced to reduce the influence of shadowing, and the location estimation based on the received signal strength will be improved. Simulations show that this algorithm is effective.
NI Wei, WANG Zong-xin.
Indoor Location Algorithm Based on the Measurement of the Received Signal Strength.
Front. Electr. Electron. Eng., 2006, 1(1): 48-52 DOI:10.1007/s11460-005-0008-6