Guaranteed Approach and l 1-Norm Approximation in the Problems of SDINS Parameter Estimation under Bench Testing

The book investigates two problems of estimating the parameters of strapdown inertial navigation systems (SDINS) and gives a detailed description of their solutions by using the methods of non-smooth optimization.

The first part of the book considers the application of the guaranteed approach to the bench calibration scheme of the SDINS accelerometer blocks. It also describes an optimal experiment plan and develops an iterative algorithm of SDINS bench calibration that improves calibration accuracy. The second part is devoted to l 1-Norm Approximation (the least modules method) in navigational estimation problems. Particular attention is paid to the problem of detecting salutatory variations in the bias of zeros of the SDINS sensors under bench testing.

Both parts present simulation results illustrating the effectiveness of the proposed methods and the features of their use in solving specific problems.

The book is intended for specialists in navigation and assessment.