Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Passive radar time difference and frequency difference coordinated positioning method under errors of motion observation station

A technology of external radiation source radar and external radiation source, which is applied in the field of radar data processing, can solve the problems of false targets, the position and speed of observation stations are not considered, the performance of target positioning estimation is degraded, etc., and the effect of improving target positioning accuracy is achieved.

Active Publication Date: 2019-04-16
HANGZHOU DIANZI UNIV
View PDF5 Cites 14 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Zhao Yongsheng et al. proposed a TDOA / FDOA joint positioning algorithm based on maximum likelihood estimation for single-station external radiation sources. Medium observation stations are often installed on moving platforms such as satellites, aircraft, ships, or ground vehicles. Although the receiver position can be obtained by the navigation system on the positioning platform, it still inevitably contains random errors.
Neglecting the impact of errors can lead to severe degradation of target localization estimation performance, and even false targets

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
  • Passive radar time difference and frequency difference coordinated positioning method under errors of motion observation station
  • Passive radar time difference and frequency difference coordinated positioning method under errors of motion observation station
  • Passive radar time difference and frequency difference coordinated positioning method under errors of motion observation station

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0017] A time difference and frequency difference cooperative positioning method for external radiation source radar under the error of a moving observation station, the method includes the following steps:

[0018] Step 1: In the radar network with multiple emitters and single-receiver external radiation sources, M external radiation sources and one observation station are included. The true location of the observatory At the origin, the real velocity is The actual position of the observation station is S r =[x 0 ,y 0 ] T , the actual speed is and ΔS r is the position error vector of the observation station, is the velocity noise vector of the observation station, and is assumed to be an independent Gaussian zero-mean white noise, and its covariance is E[ΔS r ΔS r T ] = Q S with The coordinate vector of the mth emission source is P targets, the coordinate vector of the pth target is The velocity vector is Then TDOA and FDOA are measured as

[0019] ...

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 a passive radar time difference and frequency difference coordinated positioning method under errors of a motion observation station. In view of an external illuminator positioning problem under errors of a position and a speed of the motion observation station, according to acquired TDOA and FDOA measurement, a range and a range rate are introduced as intermediate variables to enable a strong nonlinear equation to be subjected to pseudolinearization, and a target position and speed estimation model is built. According to a measurement error variance, and the observation station position and speed errors, an optimal weight is designed, and estimation is carried out by adopting an iterative weighted least square method. A correlation least square estimation model isbuilt by using the correlation between the intermediate variables and the target position and the speed, and the above target position estimation result is improved. By introducing the intermediate variables, a nonlinear measurement model is reasonably transformed to pseudolinearization, the external illuminator positioning complexity is reduced on the premise of ensuring the estimation performance, and influences on target positioning performance by errors of the observation station are reduced.

Description

technical field [0001] The invention belongs to the field of radar data processing, and in particular relates to a TDOA / FDOA cooperative positioning method for external radiation source radar under the error of a moving observation station. Background technique [0002] The external radiation source radar does not actively transmit signals, and relies on third-party radiation sources (such as TV broadcast signals, TV signals, mobile phone signals, satellite navigation signals, etc.) to detect targets. It has good concealment, low-altitude and ultra-low-altitude target detection, low cost, and Strong interference ability and so on. The external radiation source radar receiving station (observation station) receives the direct wave signal of the transmitting source and the echo signal scattered by the target, and obtains the target angle of arrival (DOA), time difference of arrival (TDOA) and frequency difference of arrival (FDOA) through signal processing test information. ...

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): G01S7/41
CPCG01S7/415
Inventor 左燕周夏磊陈志峰郭宝峰谷雨
Owner HANGZHOU DIANZI UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products