2017
DOI: 10.1007/s00542-017-3286-z
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A rapid and high-precision initial alignment scheme for dual-axis rotational inertial navigation system

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Cited by 27 publications
(15 citation statements)
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“…The alignment experiments are conducted for 2 groups when the RLGs are in rate-biased mode and mechanically dithered mode, each group includes 15 times. There are many mature fine alignment models that can be used [20,21], which is not described here. Offline program was used to process the alignment experiments data; standard deviation of azimuth angle in n-frame for 12 min, 16 min, 20 min, 24 min, 28 min, 32 min, 36 min and 40 min can be obtained.…”
Section: Calculation Of Angle Random Walkmentioning
confidence: 99%
“…The alignment experiments are conducted for 2 groups when the RLGs are in rate-biased mode and mechanically dithered mode, each group includes 15 times. There are many mature fine alignment models that can be used [20,21], which is not described here. Offline program was used to process the alignment experiments data; standard deviation of azimuth angle in n-frame for 12 min, 16 min, 20 min, 24 min, 28 min, 32 min, 36 min and 40 min can be obtained.…”
Section: Calculation Of Angle Random Walkmentioning
confidence: 99%
“…In order to further prove the effectiveness of the filter, an observability analysis of the state variables is required. According to observability theory, it is known that the time-varying system observability matrix that was used in this paper is difficult to analyze [ 21 ], but considering that the INS update interval is short enough, in this case, the time-varying system can be regarded as a linear fixed-length system [ 22 ]. Therefore, this paper uses the PWCS method to verify the observability of the above scheme.…”
Section: Observability Analysismentioning
confidence: 99%
“…In addition, the observability of each state variable can be analyzed by error covariance matrix. When the error covariance of the state variable does not decrease with time and converge to nearly zero, the error estimation of the corresponding state variable may have a large estimation error [30], [31]. Observability, which better reveals the effect of error state variables, is an suitable index of state error convergence.…”
Section: Introductionmentioning
confidence: 99%