Received signal strength (RSS)-based approach of wireless localization is easy to implement at low cost. In practice, exact positions of anchors may not be available. This paper focuses on determining the location of the source in the presence of inexact position of anchors based on RSS directly. This study at first uses Taylor expansion and a min-max approach to get the approximate maximum likelihood estimator of the source coordinates. Then this paper proposes a relaxed semi-definite programming model to circumvent the non-convexity. This paper also proposes a rounding algorithm concerning both the inexact source location and the inaccurate anchor location. Experimental results together with analysis are presented to validate the proposed method 
Received signal strength (RSS)-based wireless localization is easy to implement at low cost. In practice, exact positions of anchors may not be available. This paper focuses on determining the location of the source in the presence of inaccurate position of anchors based on RSS directly. We at first use Taylor expansion and a min-max approach to get the approximate maximum likelihood estimator of the source coordinates. Then we propose a relaxed semi-definite programming model to circumvent the non-convexity. We also propose a rounding algorithm considering both the inaccurate source location and the inaccurate anchor location. Simulation results together with analysis are presented to validate the proposed method .
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approach of
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inexact
inaccurate
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This study at first uses
We at first use
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this paper proposes
we propose
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This paper also proposes
We also propose
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concerning both the inexact
considering both the inaccurate
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Experimental
Simulation
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.