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

Iteration-adaptive-algorithm-based method for detecting coherent MIMO radar target

An iterative self-adaptive, radar target technology, applied in the direction of measurement devices, radio wave measurement systems, radio wave reflection/reradiation, etc., can solve the problem that the STAP algorithm cannot obtain enough training samples that meet the independent and identical distribution conditions, and the degree of freedom cannot To meet the clutter suppression requirements, difficult to obtain auxiliary data and other issues, to achieve stable performance, low computational load, improve the performance of high side lobes, and improve the effect of low estimation resolution

Inactive Publication Date: 2015-01-14
HOHAI UNIV
View PDF2 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The coherent MIMO radar space-time adaptive processing method in the prior art has a sharp increase in the degree of freedom of clutter due to suppressive interference in a complex electromagnetic environment, and the degree of freedom of the traditional adaptive processing algorithm (STAP) cannot meet the requirements of clutter suppression ; Deceptive interference leads to severe non-uniform distribution of clutter, making it impossible for the STAP algorithm to obtain enough training samples that satisfy the independent and identical distribution conditions
In addition, the existing STAP needs auxiliary data to estimate the basic data of the clutter and noise harmonic matrix, but auxiliary data with high accuracy is difficult to obtain, especially for the non-uniform clutter environment
In order to reduce the dependence on auxiliary data, space-time adaptive algorithms that do not require auxiliary data, such as the DAS method, are proposed, but such methods face the problem of low resolution and high side lobes

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
  • Iteration-adaptive-algorithm-based method for detecting coherent MIMO radar target
  • Iteration-adaptive-algorithm-based method for detecting coherent MIMO radar target
  • Iteration-adaptive-algorithm-based method for detecting coherent MIMO radar target

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0058] Such as figure 1 As shown, a coherent MIMO radar target detection method based on an iterative adaptive algorithm of the present invention obtains its position parameters by optimizing the reflection coefficients of the moving target and the static target respectively, specifically:

[0059] A When the observation target is a static target, the Doppler effect is not considered

[0060] A1. Determine the relationship model between the first echo signal observed at the nth observation point and the transmitted signal, the reflection coefficient of the target and noise interference as follows:

[0061] Y H ( n ) = Σ r = 1 P Σ a = 1 K α r , ...

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 iteration-adaptive-algorithm-based method for detecting a coherent MIMO radar target. First, a relation model among a first echo signal, a transmitting signal reflection coefficients and noise interference of the target is confirmed, wherein the relation model is observed on the n observation point, secondly, the relation model is linearized, further the reflection coefficients of the target are initialized through a delayed superposition DAS algorithm, and finally, a bayesian model order selecting tool is used for optimizing the reflection coefficients of the target. An iteration adaptive algorithm can effectively solve existing encountered problems of moving target parameter detection and greatly improves accuracy of detecting of the coherent MIMO radar moving target.

Description

technical field [0001] The invention relates to a MIMO radar target detection method, in particular to a coherent MIMO radar target detection method based on an iterative adaptive algorithm. Background technique [0002] Compared with phased array radar, multiple-input multiple-output (MIMO) radar has higher detection performance for weak targets, good anti-stealth effect and good anti-destruction ability, which has attracted more and more scholars to study it. MIMO radar can generally be divided into two categories: the first category is statistical MIMO radar or incoherent MIMO radar, that is, the antenna elements are sparsely distributed in space, so that space diversity gain can be obtained, and the influence of target RCS fluctuation on radar detection performance can be effectively overcome; The second type is coherent MIMO, which can form a large virtual array aperture with fewer antenna arrays, which improves the radar angular resolution and interference suppression ...

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): G01S13/06G01S13/50G01S7/36
Inventor 王婧曹宁鹿浩
Owner HOHAI 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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com