• Title/Summary/Keyword: Adaptive Navigation System

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Effect and Performance Analysis of Multipath Environments on VDES Systems (다중경로 환경이 VDES 시스템에 미치는 영향 및 성능분석)

  • Ryu, Hyung-Jick;Kim, Hye-Jin;Kim, Wong-Yong;Park, Kae-Myoung;Kim, Jun-Tae;Yoo, Jin-Ho
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2019.05a
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    • pp.19-21
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    • 2019
  • In this paper, we introduce VDES system and multipath channel model for maritime wireless digital communication. And we studied the influence of multipath for bit-error ratio performance by computer simulation. Next we propose time-domain adaptive equalizer to treat the influence of multipath, and review the simulation result for necessity of applying the adaptive equalizer.

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A New Approach for SINS Stationary Self-alignment Based on IMU Measurement

  • Zhou, Jiangbin;Yuan, Jianping;Yue, Xiaokui
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • v.1
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    • pp.355-359
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    • 2006
  • For the poor observability of azimuth misalignment angle and east gyro drift rate of the traditional initial alignment, a bran-new SINS stationary fast self-alignment approach is proposed. By means of analyzing the characteristic of the strapdown inertial navigation system (SINS) stationary alignment seriously, the new approach takes full advantage of the specific force and angular velocity information given by inertial measurement unit (IMU) instead of the mechanization of SINS. Firstly, coarse alignment algorithm is presented. Secondly, a new fine alignment model for SINS stationary self-alignment is derived, and the observability of the model is analysed. Then, a modified Sage-Husa adaptive Kalman filter is introduced to estimate the misalignment angles. Finally, some computer simulation results illustrate the efficiency of the new approach and its advantages, such as higher alignment accuracy, shorter alignment time, more self-contained and less calculation.

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Design of Multi-Sensor-Based Open Architecture Integrated Navigation System for Localization of UGV

  • Choi, Ji-Hoon;Oh, Sang Heon;Kim, Hyo Seok;Lee, Yong Woo
    • Journal of Positioning, Navigation, and Timing
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    • v.1 no.1
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    • pp.35-43
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    • 2012
  • The UGV is one of the special field robot developed for mine detection, surveillance and transportation. To achieve successfully the missions of the UGV, the accurate and reliable navigation data should be provided. This paper presents design and implementation of multi-sensor-based open architecture integrated navigation for localization of UGV. The presented architecture hierarchically classifies the integrated system into four layers and data communications between layers are based on the distributed object oriented middleware. The navigation manager determines the navigation mode with the QoS information of each navigation sensor and the integrated filter performs the navigation mode-based data fusion in the filtering process. Also, all navigation variables including the filter parameters and QoS of navigation data can be modified in GUI and consequently, the user can operate the integrated navigation system more usefully. The conventional GPS/INS integrated system does not guarantee the long-term reliability of localization when GPS solution is not available by signal blockage and intentional jamming in outdoor environment. The presented integration algorithm, however, based on the adaptive federated filter structure with FDI algorithm can integrate effectively the output of multi-sensor such as 3D LADAR, vision, odometer, magnetic compass and zero velocity to enhance the accuracy of localization result in the case that GPS is unavailable. The field test was carried out with the UGV and the test results show that the presented integrated navigation system can provide more robust and accurate localization performance than the conventional GPS/INS integrated system in outdoor environments.

Performance Improvement of Satellite Broadcasting System in Rain Attenuation (강우 감쇠가 존재하는 위성 방송 시스템의 성능 개선)

  • Kang, Heau-Jo
    • Journal of Advanced Navigation Technology
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    • v.10 no.4
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    • pp.356-363
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    • 2006
  • The demand for digital multimedia service using Ka band satellite communication are growing rapidly. So, in this paper, we have analyzed rain attenuation with typical model, and proposed prediction model of rain attenuation in high frequency(20 GHz). This paper illustrates Korea rain attenuation characteristics at the Ka band Koreasat beacon frequency based on the theoretical and empirical approaches and seek for efficient techniques by rain attenuation estimate and analyzed performance of adaptive modulation system. Propose prediction model of rain attenuation and parameter of satellite link can be available for the Ka band satellite communication.

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A Study on Adaptive Navigation System Using RFID (RFID를 이용한 적응형 안내 시스템)

  • An, Dea-Hun;Choe, U-Gyeong;Ha, Sang-Hyeong;Seo, Jae-Yong;Jun, Hong-Tae
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2006.11a
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    • pp.105-108
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    • 2006
  • 유비쿼터스 사회는 초고속 인터넷, 모바일, 디지털 컨버전스 단계를 거치면서 점차 가시화되어, 현재 일상적이 커뮤니케니션뿐만 아니라 경제활동 및 산업 분야로 다양하게 확산되고 있다. 특히 RFID와 네비게이션은 국내외적으로 이슈화되고 있으며 점점 발전하고 경제적/산업적으로 국가 경쟁력 향상에 도움을 줄 것으로 보고 있다. 하지만 이러한 FRID와 네비게이션의 쓰임새를 살펴보면 가장 일반적인 경우에 치중되어 있다. 본 논문에서는 FRID와 네비게이션을 사용하여 개별화된 특성을 반영하고 그것을 사용하는 사용자들의 특성을 고려하여 변화하는 환경에 적응하기 쉬운 시스템을 제안하고자 한다. 그리고 특정 환경에서 어떠한 정보가 이에 활용될 수 있는지를 고찰해 보았다. 또한 이러한 정보를 해결하기 위한 퍼지 로직을 적용한다.

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Tightly Coupled INS/GPS Navigation System using the Multi-Filter Fusion Technique

  • Cho, Seong-Yun;Kim, Byung-Doo;Cho, Young-Su;Choi, Wan-Sik
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • v.1
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    • pp.349-354
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    • 2006
  • For robust INS/GPS navigation system, an efficient multi-filter fusion technique is proposed. In the filtering for nonlinear systems, the representative filter - EKF, and the alternative filters - RHKF filter, SPKF, etc. have individual advantages and weak points. The key concept of the multi-filter fusion is the mergence of the strong points of the filters. This paper fuses the IIR type filter - EKF and the FIR type filter - RHKF filter using the adaptive strategy. The result of the fusion has several advantages over the EKF, and the RHKF filter. The advantages include the robustness to the system uncertainty, temporary unknown bias, and so on. The multi-filter fusion technique is applied to the tightly coupled INS/GPS navigation system and the performance is verified by simulation.

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Pulse Position Determination using Adaptive Threshold Detector (Adaptive Threshold Detector를 이용한 펄스 위치 계산)

  • Chagn, Jae-won;Lee, Sang Jeong
    • Journal of Advanced Navigation Technology
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    • v.21 no.2
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    • pp.163-170
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    • 2017
  • MLAT which is an independent cooperative surveillance system is applied to increase the positon resoultin of secondary survelliance radar. MLAT uses the hyperboic or hyperboloid position mesurement algorithm. Central processing unit of MLAT calculates target position using time difference of arrival (TDOA) which can be solved from time of arrival (TOA) information of each receivers (at least 4 receivers). To increase position resolution of MLAT which use TDOA, TOA which is transfer time from tranmitter to receiver shold be calculated with precision time resolution in receiver. This paper explained the MLAT system briefly and explained ATD which is one of means of calcuating pulse position. ATD is applied to solve the deviation of pulse position due to different amplitude of signals in mulitiple receivers. In this paper, to analysis the performance of ATD, the simulation result of LAS and CDS was compared with the simulation result of basic threshold method.

Adaptive Kalman Filter Design for an Alignment System with Unknown Sway Disturbance

  • Kim, Jong-Kwon;Woo, Gui-Aee;Cho, Kyeum-Rae
    • International Journal of Aeronautical and Space Sciences
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    • v.3 no.1
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    • pp.86-94
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    • 2002
  • The initial alignment of inertial platform for navigation system was considered. An adaptive filtering technique is developed for the system with unknown and varying sway disturbance. It is assumed that the random sway motion is the second order ARMA(Auto Regressive Moving Average) model and performed parameter identification for unknown parameters. Designed adaptive filter contain both a Kalman filter and a self-tuning filter. This filtering system can automatically adapt to varying environmental conditions. To verify the robustness of the filtering system, the computer simulation was performed with unknown and varying sway disturbance.

Fin failure diagnosis for non-linear supersonic air vehicle based on inertial sensors

  • Ashrafifar, Asghar;Jegarkandi, Mohsen Fathi
    • Advances in aircraft and spacecraft science
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    • v.7 no.1
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    • pp.1-17
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    • 2020
  • In this paper, a new model-based Fault Detection and Diagnosis (FDD) method for an agile supersonic flight vehicle is presented. A nonlinear model, controlled by a classical closed loop controller and proportional navigation guidance in interception scenario, describes the behavior of the vehicle. The proposed FDD method employs the Inertial Navigation System (INS) data and nonlinear dynamic model of the vehicle to inform fins damage to the controller before leading to an undesired performance or mission failure. Broken, burnt, unactuated or not opened control surfaces cause a drastic change in aerodynamic coefficients and consequently in the dynamic model. Therefore, in addition to the changes in the control forces and moments, system dynamics will change too, leading to the failure detection process being encountered with difficulty. To this purpose, an equivalent aerodynamic model is proposed to express the dynamics of the vehicle, and the health of each fin is monitored by the value of a parameter which is estimated using an adaptive robust filter. The proposed method detects and isolates fins damages in a few seconds with good accuracy.

Sensorless Sliding Mode Control of an Induction Motor using Adaptive Speed Observer (적응 속도 관측기를 사용한 유도전동기의 센서리스 슬라이딩 모드 제어)

  • Jie, Min-Seok;Kim, Chin-Su;Lee, Jae-Yong;Lee, Kang-Woong
    • Journal of Advanced Navigation Technology
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    • v.10 no.3
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    • pp.191-197
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    • 2006
  • In the paper propose a sensorless sliding mode control method of an induction motor using an adaptive speed control. The control objective is apply to adaptive speed observer instead of a encoder and to remove errors using the sliding mode current controller by parameters variation and disturbances that include the current controller. A stability of the sliding mode current controller and the adaptive speed observer using a design controller is guaranteed by the Lyapunov stability criterion. The performance of the proposed control system is demonstrated by simulation using the matlab silmulink and experimental results using induction motor show that the proposed method can apply an induction motor control.

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