Positioning method based on external radiation source tdoa/fdoa error correction

Abstract

The invention discloses an external radiation source TDOA / FDOA error correction based positioning method. For the problem of external radiation source positioning under a system deviation in measurement, according to obtained TDOA and FDOA measurement information, an auxiliary variable is introduced to convert a nonlinear equation into a pseudo linear equation; an estimation model for a target position, a speed and the system deviation is built; and estimation is performed by adopting an iterative weighted least square method. A correlation least square estimation model is built by utilizing the correlation between the auxiliary variable, and the target position and the speed; and an estimation result is improved by means of correlation weighted least squares. The target position, the speed and the system deviation are jointly estimated to improve the target positioning precision. The auxiliary variable is introduced to reasonably convert a nonlinear measurement model into a pseudo linear estimation model, so that the complexity of the external radiation source positioning is reduced on the premise that the estimation performance is ensured.

Description

technical field [0001] The invention belongs to the field of radar data processing, and in particular relates to a joint error correction and positioning method based on an external radiation source radar arrival time difference and arrival frequency difference. Background technique [0002] The external radiation source radar does not actively transmit signals, and relies on third-party radiation sources (such as mobile phone communication signals, TV broadcast signals, etc.) to detect targets. It has the characteristics of low cost, good concealment, and strong anti-interference ability. The external radiation source radar receiving station receives the direct wave signal of the transmitting source and the echo signal scattered by the target, and properly processes the measurement information of the target angle of arrival (DOA), time difference of arrival (TDOA) and frequency difference of arrival (FDOA) through the signal. As a sensor network system with dual / multi-base ...

AI Technical Summary

Problems solved by technology

In practical problems, the clocks between the transmitting source and the receiving station are not synchronized, the reference path is different from the actual path during signal propagation, resulting in multipath phenomenon, and the existence of external radiation source radar system deviation makes the measurement value have a fixed deviation

Neglecting the effect of bias can lead to severe degradation of object localization estimation performance, and even false objects

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