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

Multi-target direct positioning method under known signal waveform conditions

A technology with signal waveform and known conditions, applied in the field of multi-target direct positioning, which can solve problems such as the influence of positioning accuracy and the deviation of positioning performance curve.

Active Publication Date: 2016-07-06
THE PLA INFORMATION ENG UNIV
View PDF5 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Based on this idea, A.J.Weiss and A.Amar proposed a multi-target direct positioning method (hereinafter referred to as the Weiss-Amar method) under the condition of known signal waveforms. Although this method has high positioning accuracy, but However, multi-target signals are required to be independent of each other in the time domain. When this assumption cannot be satisfied (that is, when the signals are correlated in the time domain), the positioning accuracy will be greatly affected, and the positioning performance curve will also deviate from the corresponding carat metro world

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
  • Multi-target direct positioning method under known signal waveform conditions
  • Multi-target direct positioning method under known signal waveform conditions
  • Multi-target direct positioning method under known signal waveform conditions

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0038] Embodiment one, see Figure 1~2 As shown, a multi-target direct positioning method under the condition of known signal waveforms specifically includes the following steps:

[0039] Step 1. Perform time synchronization on the M-channel array antenna receiving systems of N observation stations, collect the radio signal data radiated by the target according to the Nyquist sampling theorem, and obtain the time-domain data of the array signal;

[0040] Step 2. Divide the array signal time-domain data of each observation station into K sub-segments in the time domain, and each sub-segment contains Q collection data points, and base 2 on the Q data samples in each sub-segment -FFT operation to obtain array signal frequency domain data;

[0041] Step 3. Each observation station transmits the obtained array signal frequency domain data to the central station, and the central station stacks and arranges the array signal frequency domain data transmitted by each observation stati...

Embodiment 2

[0045] Embodiment two, see figure 1 ~4, a multi-target direct positioning method under the condition of known signal waveform, specifically includes the following steps:

[0046] Specifically include the following steps:

[0047] Step 1. Perform time synchronization on the M-channel array antenna receiving systems of N observation stations, collect the radio signal data radiated by the target according to the Nyquist sampling theorem, and obtain the time-domain data of the array signal. The time domain model of the received signal is:

[0048] x n ( t ) = Σ d = 1 D β n d a n ( p d ) s d ...

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 multi-target direct positioning method under known signal waveform conditions. An enclosed model of arriving signal complex envelope and target position parameters related to carrier phase is established. Data received by multi-station array antennas are converted into frequency domain data through basic 2-FFT algorithm. An optimization model of combined estimation of multi-target parameters and signal complexion propagation coefficient is established by using the known signal waveform information and maximum likelihood estimation criterion. A mathematic optimization model only related to multi-target position parameters is obtained through mathematical derivation, and multi-target high-precision positioning can be realized through the Gauss Newton iteration algorithm. Multi-target positioning accuracy, especially the positioning accuracy under related conditions of a multi-target signal domain, is improved. The detects of a conventional two-step positioning method are overcome, and the method ensures higher positioning accuracy under related conditions of a multi-target signal domain than the Weiss Amar method.

Description

technical field [0001] The invention relates to the field of radio signal positioning, in particular to a multi-target direct positioning method under the condition of known signal waveforms. Background technique [0002] As we all know, radio signal positioning is of great significance for target discovery and situational awareness, and it is widely used in many engineering science fields such as communication signal reconnaissance, electronic information countermeasures, radio monitoring, telemetry and navigation. According to the number of observation stations, the radio signal positioning system can be divided into two categories: single-station positioning and multi-station positioning. These two types of positioning systems have their own advantages. Specifically, the single-station positioning system has the advantages of high flexibility, good mobility, simple system, no need for information synchronization and information transmission, etc., while the multi-station ...

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): G01S5/02
CPCG01S5/0027G01S5/0278G01S19/43G01S19/46
Inventor 于宏毅王鼎杨宾吴瑛吴志东唐涛张莉吴江
Owner THE PLA INFORMATION ENG 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