Dual-frequency combined filter and filtering method for eliminating single-point GPS high-order position errors

A combined filter and filter technology, which is applied in the direction of instruments, measuring devices, radio wave measuring systems, etc., can solve the problems that cannot meet the high-resolution real-time imaging index requirements of aerial remote sensing

Active Publication Date: 2016-10-12
BEIHANG UNIV
View PDF4 Cites 10 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] The problem solved by the technology of the present invention is: aiming at the problem that the traditional SINS / GPS integrated navigation method cannot meet the index requirements of high-order position errors of aerial remote sensing high-resolution real-time imaging, a dual-point GPS high-order position error elimination method is proposed. Frequency combination filter and filtering method, online elimination of the impact of GPS high-order position error on combined measurement output

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Dual-frequency combined filter and filtering method for eliminating single-point GPS high-order position errors
  • Dual-frequency combined filter and filtering method for eliminating single-point GPS high-order position errors
  • Dual-frequency combined filter and filtering method for eliminating single-point GPS high-order position errors

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0037] Such as figure 1 As shown, the filter of the present invention is divided into an input part 13 , a high frequency combination part 9 , a low frequency combination part 10 and an output part 14 . The input part 13 includes the strapdown inertial measurement unit SIMU1, and fixes it near the center of the common load for aerial remote sensing. The first 6 minutes before the POS system is started is the static alignment time, and the initial attitude is obtained through the initial alignment 8 through the acceleration information and angular velocity information sensed by SIMU1. At the same time, the initial position and speed information are obtained by the GPS antenna 3 installed on the top of the aircraft.

[0038] The frequency of the high-frequency combination depends on the frequency of the GPS receiver, usually 1Hz and 5Hz. The Kalman filter KF5 in the high-frequency combination part simultaneously receives the GPS navigation information from the input part and t...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention relates to a dual-frequency combined filter and filtering method for eliminating single-point GPS high-order position errors. The filter comprises an input part, a high-frequency combined part, a low-frequency combined part and an output part; the input part comprises a strapdown inertial measurement unit (SIMU) and a GPS module; the high-frequency combined part comprises a strapdown calculating module A and a Kalman filter (KF); the low-frequency combined part comprises a strapdown calculating module B and an LSSVM filter; the output part comprises a motion compensation unit; the structure of the high-frequency combined part is similar to that of a traditional SINS / GPS combined navigator, the low-frequency combined part isolates the single-point GPS high-order position errors through the independence of the strapdown calculating module B, and the high-order errors in position information output by the high-frequency combined part are filtered out by an LSSVM online learning and training model. In addition, when each low-frequency filtering period is finished, position calibration is provided for the strapdown calculating module B through predicted values of an LSSVM, therefore, position accumulation errors are prevented from entering the real-time motion compensation unit, and the connection and compensation problems of the position information among all low-frequency segments are properly solved.

Description

technical field [0001] The present invention is a kind of dual-frequency combined filter and filtering method based on least squares support vector machine (Least squares support vector machine, LSSVM) to eliminate single-point GPS (Global Position System, Global Positioning System) high-order position error, can be applied Based on POS (Position and Orientation System, POS), it specifically involves motion compensation for high-resolution real-time imaging of synthetic aperture radar (SAR) in aerial remote sensing. Background technique [0002] High-precision real-time motion imaging is the core of high-resolution aerial remote sensing systems. It requires the flight platform to perform ideal motion, but the flight platform will form complex multi-mode non-ideal motion under the influence of external environment and internal disturbances, resulting in blurred and scattered motion images. Focused, deformed, or even unable to image. Therefore, in order to achieve high-precis...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G01C21/20G01C21/16G01S19/47G06K9/62
CPCG01C21/165G01C21/20G01S19/47G06F18/214
Inventor 朱庄生李驰张雨龙郭一阳叶文
Owner BEIHANG UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products