INS/CNS navigation system based on multi-star pseudo measurements

Gou, Bin; Chen, Yongmei; Ruiter, Anton H. J. de

doi:10.1016/j.ast.2019.105506

Cited by 22 publications

(3 citation statements)

References 23 publications

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“…Currently, the INS/CNS/SMN integrated navigation system is extensively utilized [18][19][20][21][22][23]. This system leverages measurements provided by CNS and SMN to mitigate the accumulation of errors in INS over time.…”

Section: Introductionmentioning

confidence: 99%

An Adaptive INS/CNS/SMN Integrated Navigation Algorithm in Sea Area

Tian,

Cheng,

Yao

et al. 2024

Remote Sensing

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In this paper, we present an innovative inertial navigation system (INS)/celestial navigation system (CNS)/scene-matching navigation (SMN) adaptive integrated navigation algorithm designed to achieve prolonged and highly precise navigation in sea areas. The algorithm establishes the structure of the INS/CNS/SMN integrated navigation system. To ensure the availability of CNS in the Nanhai Sea (South China Sea) area, a cloud and fog model is meticulously constructed. Three distinct types of sea area landmarks are defined, and an automated classification model for sea area landmarks, employing support vector machines (SVM), is developed. Corresponding matching methods and strategies for these landmarks are also delineated. Concurrently, the observable probability of each landmark is computed to generate a probability cloud, representing the usability of sea area landmarks. The proposed INS/CNS/SMN adaptive integrated navigation algorithm is simulated and validated across varied altitudes and trajectories in the sea area. The results show that CNS and SMN can dynamically assist INS in achieving prolonged and highly precise navigation.

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Section: Introductionmentioning

confidence: 99%

An Adaptive INS/CNS/SMN Integrated Navigation Algorithm in Sea Area

Tian,

Cheng,

Yao

et al. 2024

Remote Sensing

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“…Regarding the navigation mechanism, the third strategy of the solar vector-based integrated model is similar to that of the celestial navigation model based on starlight vector integrated with INS. Generally, multiple stars are used for 3D attitude determination [ 21 , 22 ]. Different from the multiple-star-based celestial navigation, only one solar vector can be obtained in the POL navigation.…”

Section: Introductionmentioning

confidence: 99%

A 3D Attitude Estimation Method Based on Attitude Angular Partial Feedback for Polarization-Based Integrated Navigation System

Huang

Qiu

et al. 2022

Sensors

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Polarization (POL) navigation is inspired by insects’ behavior of precepting celestial polarization patterns to orient themselves. It has the advantages of being autonomous and having no accumulative error, which allows it to be used to correct the errors of the inertial navigation system (INS). The integrated navigation system of the POL-based solar vector with INS is capable of 3D attitude determination. However, the commonly used POL-based integrated navigation system generally implements the attitude update procedure without considering the performance difference with different magnitudes of the angles between the solar-vector and body-axes of the platform (S-B angles). When one of the S-B angles is small enough, the estimated accuracy of the attitude angle by the INS/POL is worse than that of the strapdown inertial navigation system. To minimize the negative impact of POL in this situation, an attitude angular adaptive partial feedback method is proposed. The S-B angles are used to construct a partial feedback factor matrix to adaptively adjust the degree of error correction for INS. The results of simulation and real-world experiments demonstrate that the proposed method can improve the accuracy of 3D attitude estimation compared with the conventional all-feedback method for small S-B angles especially for yaw angle estimation.

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“…In Cam-Sextant Project [13], a camera and star identifi cation method is used to determine the altitude of the celestial body, but only in a way that leads to a very inaccurate positioning approach. A similar approach, but using a very advanced camera system and software, is described in [2]. Based on diffi cult image recognition algorithms, they are able to reconstruct the sky image as seen from the observer position.…”

Section: Introduction / Uvodmentioning

confidence: 99%

Testing the Functionality and Applicability of Smart Devices for a Handheld Celestial Navigation System

Grm¹,

Grm²

2021

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In this paper, the functionality and applicability of smart devices for the purpose of handheld celestial navigation systems is investigated. The main instrument used to determine observer position (altitude measurements) in celestial navigation is the sextant. The use of a sextant and almanac or computer is a classical approach to determining the observer's celestial position. This approach has two significant limitations, firstly the time window for the measurements is short, and secondly, the view of the ocean horizon must be clear. With the use of smart devices, we can overcome these two obstacles and create a so-called handheld celestial navigation system. Currently, smart devices have very accurate sensors to measure various physical quantities such as acceleration, angular velocity, orientation, etc. We are particularly interested in validating the orientation sensor for measuring the altitude and azimuth of the celestial body. The altitude of the celestial body is the primary parameter in determining the celestial position using a sextant. The idea is to replace the sextant with a smart device to measure the altitude and possibly the azimuth of the celestial body. To test this idea, two types of experiments are designed. In the first, a system on a tripod to obtain the most accurate measurements possible is set. Such tests will provide detailed information about the accuracy of the smart device's sensors and its applicability in measuring altitude and azimuth. The test system will essentially resemble a theodolite device. In the second experiment, a hands-free measurement experiment that resembles a sextant to test the idea for practical use and functionality in the process of celestial positioning is set. The observed data show that the results of the measurements under controlled conditions are promising and within reasonable bounds for the accuracy of celestial positioning. Estimates of the position error by the graphical method are in the range of 10 Nm to 30 Nm. In order to obtain a fully functional stand-alone celestial positioning system, the proposed assembly needs to be improved through several unchallenging upgrades. A fully functional system can be considered as a cheap off-the-shelf handheld Celestial Navigational System (CNS).

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INS/CNS navigation system based on multi-star pseudo measurements

Cited by 22 publications

References 23 publications

An Adaptive INS/CNS/SMN Integrated Navigation Algorithm in Sea Area

An Adaptive INS/CNS/SMN Integrated Navigation Algorithm in Sea Area

A 3D Attitude Estimation Method Based on Attitude Angular Partial Feedback for Polarization-Based Integrated Navigation System

Testing the Functionality and Applicability of Smart Devices for a Handheld Celestial Navigation System

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