Adaptive smoothing filtering method for target orientation

A target orientation, smooth filtering technology, applied in the signal pattern recognition, instrument, character and pattern recognition and other directions, can solve the problem of unable to accurately reflect the real orientation of the target, unable to form a high-confidence target situation, etc. The effect of resisting interference, reducing overshoot, and improving rapidity

Pending Publication Date: 2022-02-08
SOUTHWEST CHINA RES INST OF ELECTRONICS EQUIP
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to solve the problems that the current electronic system target orientation cannot accurately reflect the real orientation of the target, and cannot form a high-reliability target situation, etc., the present invention proposes an adaptive smoothing filter method for the target orientation

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
  • Adaptive smoothing filtering method for target orientation
  • Adaptive smoothing filtering method for target orientation
  • Adaptive smoothing filtering method for target orientation

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0043] According to the method described in the present invention, it has been implemented in the development of a certain electronic system, and the specific method is as follows:

[0044] 1) Realize the smoothing filter algorithm according to "Equations 1, 2, 3 and 4".

Embodiment approach

[0045] 2) Using fuzzy control to realize the smoothing filter coefficient k 1 and k 2 Online tuning, the implementation method is as follows:

[0046] a) Fuzzification of input variables: According to the system scenario, performance index and algorithm complexity, determine the two input variables of fuzzy control, and select k 1 Membership function, such as image 3 shown.

[0047] b) Generate a reasonable fuzzy rule table

[0048]According to the results E and EC of input fuzzification, perform fuzzy reasoning and generate a fuzzy rule table, see Table 1.

[0049] Among them, E and EC are fuzzy intermediate variables, E is error, and EC is error change. If E and EC belong to ZE and MP respectively, the smoothing filter coefficient k1 is set to EP.

[0050] Table 1 Fuzzy relationship of smoothing filter coefficient k1

[0051]

[0052] Note: Among them, ZE (zeros, zero), SP (small positive, positive small), MP (middle positive, middle), LP (large positive, positive...

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 discloses an adaptive smoothing filtering method for a target orientation, and the method comprises the steps of enabling the current target orientation to be Xk, and intercepting a target through an electronic system; enabling the target orientation measured this time to be Xm, and obtaining the target orientation Xk + 1 after smoothing filtering through the following formula: Xk + 1 '= Xk + [delta] T * Vk; Ek = Xm-Xk + 1 '; Xk + 1 = Xk + 1 '+ k1 * Ek; wherein Xk + 1'is the target orientation predicted this time, delta T represents the data sampling period, Vk represents the change rate of the current target orientation, and the initial value is 0; Ek represents the difference value between the currently measured target orientation and the predicted target orientation; k1 represents a target azimuth change coefficient. According to the method, the fuzzy self-tuning smoothing filter is adopted for target azimuth smoothing filtering, and actual operation shows that interference can be effectively resisted, azimuth tracking rapidity is improved, and azimuth smoothing filtering overshoot is reduced.

Description

technical field [0001] The invention belongs to the field of target signal processing, in particular to a processing method for electronic system function target orientation Background technique [0002] Accurate indication of target orientation is one of the core functions of many electronic systems, and it is an essential function to ensure that electronic systems complete specific tasks. At present, the target azimuth is affected by the platform, antenna, radio frequency channel, complex signal, etc., which will inevitably cause jitter; as the platform and target maneuver, the azimuth often cannot be tracked. In order to realize accurate, rapid and stable indication of target azimuth, it is necessary to use effective smoothing filtering method. [0003] Some target azimuth indications of existing electronic systems do not use the azimuth filtering method; some are based on a simple average value method, which cannot accurately reflect the real azimuth of the target, and ...

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
Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00
CPCG06F2218/04
Inventor 何银强吴自新文富忠李钊刘涛毕升姚金宝舒树超
Owner SOUTHWEST CHINA RES INST OF ELECTRONICS EQUIP
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