关键词: 误差配准, 动基座传感器, 目标, 广义最小二乘, 卡尔曼滤波

Abstract: A novel bias estimation method for solving maneuvering sensor bias correction problems based on cooperation target is proposed. Using the estimation position of cooperation targets, the gesture angle biases of a moving base can be converted to the measurement biases, and an error system model for computing all kinds of biases is proposed. Based on the decoupling model, a generalized least squares method is used to estimate the range measure bias, and the unscented Kalman filter is used to estimate the other biases. The simulation results show the approach can be easily carried out and has the rapid convergence rate, which can estimate the biases of single maneuvering sensor.

Key words: error correction, maneuvering sensor, targets, generalized least squares, Kalman filters