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The initial alignment error model of strap-down inertial navigation system is nonlinear under large azimuth misalignment angle condition, and it could be processed by the particle filter algorithm. In order to solve the problem that importance density function of the particle filter is difficult to select, a new robust adaptive cubature particle filter algorithm is proposed. The equivalent weight...
Initial alignment is one of the key technologies in Strapdown inertial navigation system (SINS). It is divided into coarse alignment and fine alignment. The conventional method of fine alignment is to adopt Kalman filtering and uses single filter to estimate system states. In Kalman filtering, it is known that system model should be matched with actual system and the statistical characteristics of...
The problem of adjusting parameters with a separate-bias Kalman filter is addressed for improving the alignment performance of strapdown inertial navigation system (SINS). To reduce the load of navigation computer, the technique of separate bias is implemented. The influence of initial condition and noise covariance on separate-bias Kalman filter is analyzed. The adjustment method using which the...
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