Direction finding method of bistatic MIMO radar based on immune cuckold search under impulsive noise

A technology of cuckoo search and impact noise, which is applied in the direction of measuring devices, radio wave measurement systems, radio wave reflection/reradiation, etc., can solve problems such as large amount of calculation, achieve excellent performance, speed up convergence speed, and improve estimation accuracy Effect

Active Publication Date: 2016-09-21
HARBIN ENG UNIV
View PDF5 Cites 10 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Applying the maximum likelihood algorithm to the DOD and DOA estimation of bistatic MIMO radar targets, it has excellent performance in the case of low signal-to-noise ratio

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
  • Direction finding method of bistatic MIMO radar based on immune cuckold search under impulsive noise
  • Direction finding method of bistatic MIMO radar based on immune cuckold search under impulsive noise
  • Direction finding method of bistatic MIMO radar based on immune cuckold search under impulsive noise

Examples

Experimental program
Comparison scheme
Effect test

Example Embodiment

[0029] The direction finding method of the bistatic MIMO radar based on ICS under impulsive noise of the present invention is aimed at the problem that the classic bistatic MIMO radar direction finding method degrades badly or even fails in the impulsive noise environment. By designing the infinite of the bistatic MIMO radar The norm maximum likelihood direction finding method successfully solves the difficult problems of direction finding robustness and decoherence in the impact noise environment, so that it has excellent performance in the case of low signal-to-noise ratio, small number of snapshots and coherent sources. Furthermore, an infinite norm maximum likelihood direction finding method for bistatic MIMO radar based on ICS mechanism is proposed. The proposed ICS mechanism is inspired by the behavior of cuckoos. On the basis of CS, learning from the ability of the immune system to produce diverse antibodies, an artificial immune mechanism is introduced, and a cultural me...

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 direction finding method of bistatic MIMO radar based on immune cuckold search under impulsive noise. The method is performed through the following steps: acquiring sampling data; conducting infinite norm normalization to obtain a weighted signal covariance matrix; setting parameters and initializing belief space; Initializing the bird eggs, calculating their fitness and arranging them in a descending order so as to find the optimal bird eggs; preparing vaccines through cultural mechanisms; using the Levy flight to update the bird eggs, calculating their fitness and using greedy selection for strategy choice; calculating their fitness and using greedy selection for strategy choice by reconstructing a new nest and updating the bird eggs; according to descending arrangement of the fitness values, vaccinating the poor bird eggs, calculating the fitness and simulating the choice of an annealing mechanism; according to descending arrangement of the fitness values, finding and recording the optimal bird eggs; and determining if the maximum number of iterations has been reached and if not, outputting the DOD and DOA estimates. The method has the advantages of a high convergence speed, high estimation accuracy, a strong de-coherence ability, a good anti-noise ability and great prospects for wide applications.

Description

technical field [0001] The present invention relates to a radar direction finding method, in particular to a bistatic multiple input multiple output (Multiple Input Multiple Output, MIMO) radar direction finding method. Background technique [0002] MIMO radar has become a popular research topic. It is a new type of radar system proposed after the MIMO theory and space-time coding theory are applied to communication systems and made a major breakthrough. It is different from the traditional phase-controlled Compared with array radar, MIMO radar can overcome fading effect and improve spatial resolution, and improve detection and estimation performance through waveform diversity. At present, according to the spatial distribution of radar antennas, MIMO radars can be divided into two types: centralized MIMO radars and distributed MIMO radars, namely so-called monostatic MIMO radars and bistatic MIMO radars. The former concept was proposed by Bliss and Forsythe of the Massachus...

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
IPC IPC(8): G01S7/41G01S13/00
CPCG01S7/41G01S13/003
Inventor 高洪元李佳张世铂刁鸣刘丹丹梁炎松杜亚男
Owner HARBIN ENG UNIV
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