User performance analysis of different image-based navigation systems for needle placement procedures

Abstract Based on the traditional BOC modulation system, a new navigation signal system based on FH-BOC is proposed in this paper. The simulation and verification of FH-BOC signal are carried out, and the modulation characteristics, code tracking performance and anti-interference performance of FH-BOC signal are analyzed, and the advantages and disadvantages of the modified system are verified. The results show that FH-BOC signal has good ranging and anti-interference ability, which is suitable for navigation system and can reduce the ambiguity of BOC signal’s secondary peak to a certain extent. At the same time, the T has important scientific significance and application value to improve the countermeasure capability of other satellite navigation systems.

Download Full-text

Performance Analysis of Low Drift Micro-Machined Gyroscopes for Inertial Navigation Systems

MicroNano Integration ◽

10.1007/978-3-642-18727-8_6 ◽

2004 ◽

pp. 43-53

Author(s):

T. Link ◽

A. Gaißer ◽

M. Braxmaier ◽

I. Simon ◽

A. Schumacher ◽

...

Keyword(s):

Performance Analysis ◽

Inertial Navigation ◽

Navigation Systems ◽

Inertial Navigation Systems ◽

Low Drift

Download Full-text

Performance Analysis of Medium Accuracy FOG-Based IMU Integrated with Optical Odometer for Land Vehicle Navigation

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.245.334 ◽

2012 ◽

Vol 245 ◽

pp. 334-339 ◽

Cited By ~ 1

Author(s):

Muhammad Ilyas ◽

Ren Zhang ◽

Qiu Shi Qian ◽

Yun Chun Yang

Keyword(s):

Kalman Filter ◽

Performance Analysis ◽

Fiber Optics ◽

Low Cost ◽

Measurement Noise ◽

Vehicle Navigation ◽

Navigation Systems ◽

Integrated Navigation ◽

Land Vehicle ◽

Land Vehicle Navigation

The aim of this work is to research the feasibility of using optical odometer as the aided sensor for accuracy improvement of medium accuracy (FOG)-based IMU for land vehicle navigation. Usually GNSS is integrated with low cost SINS (strapdown inertial navigation systems) for land vehicle navigation but GNSS is not always reliable in land vehicle applications. The focus is on analysis of position and velocity accuracy of SINS/Odometer integration using close loop kalman filter. Integrated navigation algorithm for vehicle states estimation and correction have been designed and implemented. The measurement error model for odometer in navigation frame is developed for Kalman filter implementation. As the prior knowledge of measurement noise which represents the stochastic properties of odometer is not exactly known, so an adaptive Kalman filter (AKF) is also proposed for online estimation of the measurement noise matrix in order to improve the accuracy. For the performance analysis of the designed system, field test is carried out and results show that the accuracy of the medium accuracy fiber optics gyro (FOG)-based SINS is improved and the systems is capable for land vehicle navigation application

Download Full-text