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

MIMO radar waveform optimization method based on target prior information

A radar waveform and prior information technology, applied in the field of signal processing, can solve problems such as the high complexity of the waveform covariance matrix, and achieve the effect of improving performance

Inactive Publication Date: 2015-08-12
DALIAN UNIV
View PDF2 Cites 15 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to overcome the deficiencies of the above-mentioned existing technologies, and proposes a MIMO radar waveform optimization method based on target prior information in a signal-dependent noise environment. The method solves the waveform optimization problem by a new diagonal loading technology to alleviate System sensitivity issues caused by estimation errors and parameter uncertainties, thereby improving worst-case MIMO radar waveform optimization parameter estimation performance
Since this problem is a highly complex nonlinear problem with respect to the waveform covariance matrix, it cannot be quickly and effectively solved by traditional methods

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
  • MIMO radar waveform optimization method based on target prior information
  • MIMO radar waveform optimization method based on target prior information
  • MIMO radar waveform optimization method based on target prior information

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0064] The present invention will be described in further detail below in conjunction with the accompanying drawings.

[0065] As shown in the figure, the implementation process of the MIMO radar waveform optimization method based on target prior information in the present invention is as follows:

[0066] 1. Establish nonlinear waveform optimization problem model

[0067] 1) Construct MIMO radar signal model

[0068] Suppose the MIMO radar receives the signal as:

[0069] Y = Σ k = 1 K β k a ( θ k ) v T ( θ k ) S + ∫ - π π ρ ...

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 MIMO radar waveform optimization method, used to improve parameter estimation performance of a MIMO radar system under a condition that target prior information exists in a clutter scene. Implement method thereof comprises: firstly, establishing a MIMO radar signal model, and deriving Cramer-Rao bound (CRB) of an unknown parameter based on the model; based on a Trace-Opt criterion, minimizing trace of the CRB, establishing a waveform optimization model; and based on a diagonal loading (DL) method, relaxing a nonlinear optimization problem to a semi-definite programming (SDP) problem, to obtain efficient solution of the optimization problem, so as to improve parameter estimation performance of the system. Compared with an uncorrelated transmitted waveform and a non-prior scene, the method can obviously improve system parameter estimation performance.

Description

technical field [0001] The invention belongs to the field of signal processing, and further relates to a MIMO radar waveform optimization method based on target prior information in a signal-dependent noise environment in the waveform optimization technical field. Background technique [0002] In recent years, multiple-input multiple-output (MIMO) technology has attracted extensive attention and research in the fields of communication and radar, and waveform optimization is an important research topic of MIMO radar. MIMO radar uses multiple antennas for signal transmission and multiple antennas for reception at the receiving end, which is the so-called waveform diversity. According to the distance between the antennas, MIMO radar is divided into distributed MIMO radar and centralized MIMO radar. The former makes use of the wide geographical distribution of multiple antennas, making the signals of each receiving antenna independent of each other to obtain diversity gain. In...

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): G01S7/02
CPCG01S7/42
Inventor 王洪雁裴炳南裴腾达
Owner DALIAN 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