Multi-moving-target positioning method based on improved TDOA/FDOA algorithm

Abstract

The invention relates to a multi-moving-target positioning method based on an improved TDOA / FDOA algorithm, and mainly solves the problems that the adaptive capacity of noise errors is poor and the positioning precision is limited when a traditional algorithm is used for positioning a plurality of dynamic targets. The method comprises the following steps: firstly, setting K moving targets which do not coincide with one another in a three-dimensional space, deploying M sensors, and acquiring a measurement vector of target information; then constructing a TDOA / FDOA positioning equation set about the position information of the target and the sensor so as to estimate the speed and the position of the target; constructing a global constraint condition according to a relationship between the targets and additional variables, introducing a Lagrange multiplier technology, and adopting a quasi-Newton BFGS iterative formula to solve a positioning equation. According to the method, constraint conditions are comprehensively and systematically considered, and the Lagrange multiplier technology and the quasi-Newton BFGS iterative formula are introduced, so that calculation of a Hessian matrix is avoided, the calculation amount is greatly reduced, and the positioning precision is improved.

Description

technical field [0001] The invention relates to the technical field of wireless sensor networks, in particular to an improved TDOA / FDOA algorithm multi-moving target positioning method. Background technique [0002] In real life, whether it is military defense, medical assistance, intelligent transportation, environmental monitoring, industrial or agricultural control, etc., WSN (Wireless Sensor Network) is widely used and plays an increasingly important role, and location-based services are all applications The key core part of the target, and the positioning target generally occurs in a noisy environment, the measurement error is large, and the error is large when using a single TDOA ranging technology to achieve target positioning. In order to improve the positioning accuracy of the algorithm, the hybrid positioning technology is usually used to estimate the position information of the target. When estimating the position information of multiple moving targets at the same...

AI Technical Summary

Problems solved by technology

[0007] However, whether it is the classic TSWLS, CTLS positioning algorithm or ICTLS positioning algorithm, there is a fatal flaw when locating the target, which leads to large positioning deviation and a sharp decline in positioning performance.

When the target is located at or close to any coordinate axis of the set reference sensor, the above positioning algorithm will have a large positioning deviation, and the positioning performance will drop sharply

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