Sensor node selection method based on information search optimization in underwater target tracking

The invention discloses a sensor node selection method based on information search optimization in underwater target tracking, and the method comprises the steps: 1, enabling a plurality of sensor nodes to be randomly distributed in a marine monitoring region where a target will appear, and forming a sensor node measurement platform; 2, based on a sensor node measurement platform course angle, target position estimation and error covariance thereof, constructing a variational confidence lower bound function; 3, solving a variational confidence lower bound function through variational Bayesian iteration, and obtaining the maximum value of the variational confidence lower bound by adjusting the expectation of a log-likelihood function and the KL divergence of iterative variational distribution, thereby constructing a cost function of the Fisher information matrix; and 4, in combination with the energy and delay conditions of the sensor nodes, minimizing a cost function by adopting a local search method, and det