A novel joint navigation state error discriminator based on iterative maximum likelihood estimation

Volume: 58, Issue: 12, Pages: 1 - 14
Published: Nov 4, 2015
Abstract
To break through the limitations of traditional discriminators used in vector tracking loops, this paper presents an iterative maximum likelihood estimation (IMLE) method for extracting navigation state errors from multi-satellite signals. The IMLE method takes into account both computational cost and estimation accuracy. The associated gradient vector and Hessian matrix of the MLE cost function are derived. The characteristics of the proposed...
Paper Details
Title
A novel joint navigation state error discriminator based on iterative maximum likelihood estimation
Published Date
Nov 4, 2015
Volume
58
Issue
12
Pages
1 - 14
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