Algorithms of GNSS signal processing based on the generalized maximum likelihood criterion for attitude determination

Abstract

The algorithms of GNSS signal processing based on the generalized maximum likelihood criterion for attitude determination are discussed in the paper. The likelihood function is determined by multidimensional samples of processes observed directly on array elements. The comparative analysis of attitude estimation accuracy was accomplished for optimal and suboptimal algorithms. An optimal algorithm provides potential attitude accuracy, on the other hand, suboptimal algorithms are characterized by comparative ease of implementation. To maximize objective functions the reference phase differences are used for all developed algorithms.