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

Multi-parameter joint estimation method based on bistatic fda-mimo radar

A joint estimation, multi-parameter technology, applied in the direction of reflection/re-radiation of radio waves, utilization of re-radiation, measurement devices, etc., can solve problems such as distance estimation and velocity estimation ambiguity

Active Publication Date: 2018-09-11
THE PLA INFORMATION ENG UNIV
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In order to overcome the deficiencies in the prior art, the present invention provides a multi-parameter joint estimation method based on bistatic FDA-MIMO radar, aiming at the problem of bistatic centralized MIMO radar parameter estimation, combined with FDA technology, to solve the single pulse repetition frequency ( The fuzzy problem of distance estimation and speed estimation under PRF) realizes the 3D positioning of the target

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-parameter joint estimation method based on bistatic fda-mimo radar
  • Multi-parameter joint estimation method based on bistatic fda-mimo radar
  • Multi-parameter joint estimation method based on bistatic fda-mimo radar

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0057] Embodiment one, see Figure 1~2 As shown, a multi-parameter joint estimation method based on bistatic FDA-MIMO radar includes the following steps:

[0058] Step 1. Utilize the waveform diversity characteristic to design the transmission signal, and obtain the transmission waveform related to DOD and distance information according to the frequency increment Δf of the transmission signal carrier, so as to ensure that the DOD and distance information can be decoupled during the parameter estimation process;

[0059] Step 2, performing matched filtering, vectorization and spatial smoothing processing on the received transmitted waveform signal to obtain a full-rank signal covariance matrix;

[0060] Step 3. Based on the signal covariance matrix, the ESPRIT algorithm is used to estimate the joint steering vector;

[0061] Step 4, using the joint steering vector to estimate DOA and velocity parameters, and decoupling and parameter estimation of DOD and distance information; ...

Embodiment 2

[0065] Embodiment two, see Figure 1~6 As shown, a multi-parameter joint estimation method based on bistatic FDA-MIMO radar includes the following content:

[0066] Step 1. Based on the bistatic MIMO radar composed of M transmit array elements and N receive array elements, the transmit signal is designed using the waveform diversity feature, and the transmit waveform related to DOD and distance information is obtained according to the frequency increment Δf of the transmit signal carrier , in order to solve the coupling problem of DOD and distance information, the radar transmitting array is divided into two sub-arrays with the center of the array as the reference point. The resulting launch steering vector is:

[0067] Among them, θ p and R p are the target DOD and DOA, respectively, d t is the distance between the transmitting antennas, d r is the distance between receiving antennas, λ is the signal wavelength, c is the speed of light, v is the target speed, R p is 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 multi-parameter combined estimation method based on bi-static FDA-MIMO radars. The method comprises the following steps: firstly designing a transmitting signal by utilizing characteristics of FDA and MIMO radars; carrying out matched filtering, vectorization and spatial smooth processing on a receiving signal; then estimating a combined steering vector and estimating a DOA and a speed parameter by utilizing an ESPRIT algorithm, and carrying out decoupling and parameter estimation on the DOD and distance information by combining characteristics of a transmitting waveform; and carrying out ambiguity resolution on a distance result estimated by utilizing an ESPRIT algorithm and combining a distance estimated by virtue of a pulse delay estimation algorithm, and carrying out ambiguity resolution on a speed by virtue of an MUSIC algorithm by combining signal characteristics of a large number of pulses. The method provided by the invention has the advantages that the problem that the distance and speed can not be accurately estimated under the condition of a single PRF can be effectively solved, and the estimation of the three-dimensional position and speed of a target can be realized; and a simulation result shows that the method provided by the invention has good estimation accuracy and stability.

Description

technical field [0001] The invention belongs to the technical field of multiple-input multiple-output radar, in particular to a multi-parameter joint estimation method based on bistatic FDA-MIMO radar. Background technique [0002] The so-called MIMO radar refers to a new type of radar system that uses multiple transmitting antennas to simultaneously transmit diversity waveforms, and simultaneously uses multiple receiving antennas to receive echo signals and centrally process the sending and receiving signals. The biggest difference between MIMO radar and traditional phased array radar is that MIMO radar can improve the degree of freedom by changing the array structure or transmitting non-correlated waveforms. According to the "far and near" of the spatial distribution of antennas, MIMO radars are mainly divided into two categories: centralized MIMO radars and distributed MIMO radars. The distance between the transmitting and receiving antennas of the centralized MIMO radar...

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 Patents(China)
IPC IPC(8): G01S7/41G01S13/10G01S13/58
CPCG01S7/41G01S13/10G01S13/582
Inventor 陈松赵智昊任修坤郑娜娥王盛田英华
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