The invention discloses a square root volume filtering method based on mixed information weighting consistency, belongs to a sensor information fusion technology, and relates to a distributed nonlinear state filtering problem. The filtering method comprises the following steps: firstly using a square root volume rule to obtain a prediction information vector and an information matrix square root factor of each node for the target state; then, based on the observation information and state prediction information of each node, calculating the corresponding local measurement information vector and the information matrix square root factor; finally obtaining consistency state prediction information, measurement information and a measurement normalization factor through the information interactive consistency iteration between neighbor nodes, and updating the estimated state of the target by weighted fusion. The filtering method effectively solves the problem of over-estimation of the nodestate under the condition of limited number of iterations, improves the consistency convergence rate and estimation precision of the state information, and improves the numerical stability of the filtering method.