This paper proposed a two-point coordinated positioning algorithm. Based on the assumption that the distance between two points was constant, a fusion algorithm was introduced into the positioning process to enhance the positioning accuracy. The simulation results showed that the proposed algorithm could reduce the RMS error to about 50% of the improved sinc interpolation-based positioning algorithm when the sampling frequency was 500 MHz and the interpolation number was 19.
Abstract-This paper designed an improved positioning system which employed a proposed improved Sinc interpolation algorithm to reduce the sampling frequency of the system , calculated time difference of arrival (TODA) values with matched filter, estimated the position of the target node by Chan's algorithm and used Chauvenet criterion to optimize the positioning results. Analysis and simulation results showed that the algorithm could reduce the sampling frequency to a great extent while ensuring the accuracy of the positioning system.
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