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

Compressed sensing-based multi-input and multi-output radar two-dimensional angle estimation method

A compressive sensing, two-dimensional angle technology, applied in the field of signal processing, can solve problems such as two-dimensional angle estimation not applicable to MIMO radar

Active Publication Date: 2016-01-20
XIDIAN UNIV
View PDF2 Cites 18 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In recent years, the L1-SRACV algorithm based on the sparse representation of array covariance vectors and the JLZA algorithm of joint approximation have appeared, but these algorithms are only suitable for one-dimensional angle estimation of ordinary array radars, not for two-dimensional angle estimation of MIMO radars.

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
  • Compressed sensing-based multi-input and multi-output radar two-dimensional angle estimation method
  • Compressed sensing-based multi-input and multi-output radar two-dimensional angle estimation method
  • Compressed sensing-based multi-input and multi-output radar two-dimensional angle estimation method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0046] The technical solutions and effects of the present invention will be further described in detail below with reference to the accompanying drawings.

[0047] refer to figure 1 , the implementation steps of the present invention are as follows:

[0048] Step 1: Build a uniform linear array model.

[0049] Set up M linear and uniform transmitting antennas and N linear and uniform receiving antennas, assuming that there are K spatial target electromagnetic signals incident on the uniform linear array, and the target electromagnetic signal is added with complex Gaussian white noise with a mean value of zero during the propagation process, each An antenna is used as an array element, and the distance between each array element is d, where M≥2, N≥2, K≥1, 0<d≤λ / 2, and λ represents the wavelength of the incident electromagnetic signal.

[0050] Step 2: Obtain a uniform array output signal.

[0051] The uniform array antenna receiver is used to perform snapshot sampling and ma...

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 compressed sensing-based multi-input and multi-output radar two-dimensional angle estimation method. The main objective of the invention is to solve the problems of low accuracy and large computation amount in MIMO (multi-input and multi-output) radar two-dimensional angle estimation in the prior art. The method includes the following steps that: 1) a uniform linear array model is established, and uniform array output signals are obtained; 2) a direction of arrival output uniform linear matrix and an emission angle output uniform linear matrix are respectively constructed through the output signals, and a direction-of-arrival covariance matrix and an emission angle covariance matrix are calculated; 3) a direction of arrival observation vector and an emission angle observation vector as well as a direction of arrival fitting error and an emission angle fitting error are respectively constructed through the elements of the direction of arrival covariance matrix and the emission angle covariance matrix, and a direction of arrival super complete set and an emission angle super complete set are constructed; and 4) the optimal sparse solution of the directions of arrival and the optimal sparse solution of emission angles can be calculated according to the spare relationship between the direction of arrival and emission angle observation vector and the direction of arrival and emission angle super complete set, and a direction of arrival amplitude spectrogram and an emission angle amplitude spectrogram are drawn. With the method of the invention adopted, the operating rate of passive direction finding and angle estimation accuracy under a low signal to noise ratio can be improved. The method can be used for target detection and passive location.

Description

technical field [0001] The invention belongs to the technical field of signal processing, and in particular relates to a method for estimating a direction of arrival angle DOA and a target launch angle DOD of a multiple-input multiple-output MIMO radar system. It can be used for target reconnaissance and passive positioning of moving targets of aircraft and ships. Background technique [0002] MIMO radar uses multiple antennas to transmit different waveform signals, and then uses multiple antennas to receive echo signals, thereby obtaining a wider aperture than ordinary array radars. In MIMO radar, two-dimensional angle estimation of direction of arrival DOA and target launch angle DOD is generally required. DOA and DOD estimation is an important branch in the field of array signal processing. It refers to the use of antenna arrays to sense and receive space acoustic signals and electromagnetic signals, and then use modern signal processing methods to quickly and accurately...

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): G01S13/88
CPCG01S13/88
Inventor 蔡晶晶鲍丹武斌秦国栋刘高高李鹏赵晗希苏瑶
Owner XIDIAN 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