In:
Journal of Physics: Conference Series, IOP Publishing, Vol. 1325, No. 1 ( 2019-10-01), p. 012113-
Abstract:
This paper analyzes two estimation algorithms in the carrier loop, i.e. maximum likelihood estimation (MLE) and modern filtering based on Bayesian recursion. The limitations of the MLE algorithm are pointed out by establishing the MLE model. In addition, several modern filters based on Bayesian recursion are analyzed. In this process, the article draws two inferences affecting high dynamics and low signal-to-noise ratio (SNR) carrier tracking from two aspects of state equation and measurement equation. Thus, the optimal algorithm using unscented Kalman filter (UKF) is proposed by the inferences mentioned. at the end, simulation results demonstrate the combined strong tracking algorithm has advantages in case of high dynamic and low SNR.
Type of Medium:
Online Resource
ISSN:
1742-6588
,
1742-6596
DOI:
10.1088/1742-6596/1325/1/012113
Language:
Unknown
Publisher:
IOP Publishing
Publication Date:
2019
detail.hit.zdb_id:
2166409-2
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