Time difference of arrival outlier detection method based on multi-dimensional scaling method

Abstract

The invention relates to a time difference of arrival outlier detection method based on a multi-dimensional scaling method, which comprises the following steps: an off-line acquisition stage: before a signal source sends a signal, according to a known sensor position coordinate, a time difference of arrival measurement value Gaussian noise variance and a signal propagation speed, calculating a time difference of arrival outlier according to the known sensor position coordinate, the time difference of arrival measurement value Gaussian noise variance and the signal propagation speed; calculating to obtain an empirical probability distribution function of the sum of squares of specific characteristic values of a scalar product matrix of all the sensor groups, wherein the scalar product matrix is constructed based on a multi-dimensional scaling method; in the online detection stage, when a signal source sends a sending signal, the measured value of the time difference of arrival between every two sensors is measured, and an outlier in the measured value of the time difference of arrival is detected by using the empirical probability distribution function through a hypothesis testing method. Compared with the prior art, the method has the advantages of wide application range, high detection accuracy and the like.

Description

technical field [0001] The present invention relates to the field of wireless network and mobile computing in information technology, in particular to a Time-Difference-Of-Arrival (TDOA) outlier based on Multidimensional Scaling (Multidimensional Scaling, MDS) Detection method. Background technique [0002] In applications such as radar, sonar, mobile communication, multimedia, and wireless sensor networks, it is often necessary to measure time difference of arrival information for further processing (such as positioning, correction, synchronization, etc.). The so-called time difference of arrival means that a signal is sent out by a signal source, and the signal is received by sensors distributed in space, whose positions are known and time-synchronized with each other, and the time when the signal sent by the signal source arrives at a certain sensor is measured and the time at which it arrives at another sensor is measured. The time difference of the sensors, that is, th...

AI Technical Summary

Problems solved by technology

Although this technology can detect part of the outliers caused by the non-line-of-sight environment during the positioning process, this technology can only detect the outliers caused by the non-line-of-sight environment, but cannot detect the outliers caused by other reasons. At the same time, this technology can only be used in combination with specific positioning applications, and cannot continue to be used in other application fields that have nothing to do with positioning

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