Combined optimizing method of MIMO radar waveform and biased estimator based on prior information

A radar waveform and joint optimization technology, applied in the field of signal processing, can solve problems such as drop

Inactive Publication Date: 2015-02-25
DALIAN UNIV
View PDF4 Cites 16 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Furthermore, if a biased estimator is used jointly with prior information, then the variance bounds of the parameter estimates will drop significantly compared to the CRB of the unbiased estimator

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
  • Combined optimizing method of MIMO radar waveform and biased estimator based on prior information
  • Combined optimizing method of MIMO radar waveform and biased estimator based on prior information
  • Combined optimizing method of MIMO radar waveform and biased estimator based on prior information

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0063] Attached below figure 1 The implementation steps of the present invention are further described in detail.

[0064] step 1: Create joint optimization model of MIMO radar waveform and biased estimator in clutter environment

[0065] 1a) Modeling of MIMO radar receiving signal in clutter scene

[0066]

[0067] 1b) Fisher information matrix derivation

[0068] Fisher Information Matrix (FIM) Can be expressed as follows:

[0069]

[0070] In the formula,

[0071]

[0072]

[0073]

[0074]

[0075]

[0076]

[0077] 1c) constrained biased CRB derivation

[0078] constrained biased The derivation of CRB is based on the following prior information: the range of the target to be estimated is known, namely

[0079]

[0080] In the formula, ,as well as . Based on this, the target parameter to be estimated considered in the present invention can be expressed as

[0081]

[0082] In the formula, ; ; ; ; .

[0083] Bas...

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 combined optimizing method of an MIMO radar waveform and a biased estimator based on prior information in the clutter environment, wherein the parameter estimation performance of a point target is improved. The method includes the steps of firstly, establishing a combined optimizing model of the MIMO radar waveform and the biased estimator in the clutter scene; secondly, studying the combined optimizing problem of the MIMO radar waveform and the biased estimator under the weighted modulus constraint; thirdly, studying the combined optimizing problem of the MIMO radar waveform and the biased estimator under the spectral norm constraint; fourthly, solving the original optimizing problem through a convex optimization method. By means of the method, the MIMO radar parameter estimation performance is remarkably improved, the coordinate work capacity of an MIMO radar emitting end and an MIMO radar receiving end is enhanced, and the overall performance of an MIMO radar system is improved.

Description

technical field [0001] The invention belongs to the field of signal processing, and further relates to a joint optimization method of MIMO radar waveforms and biased estimators based on prior information in a clutter environment, which significantly improves the performance of MIMO radar parameter estimation and enhances MIMO radar emission and The coordination ability of the receiving end improves the overall performance of the MIMO radar system. Background technique [0002] In recent years, MIMO radar waveform optimization has been paid more and more attention by scholars and engineers. According to the target model used in the waveform optimization problem, the current waveform optimization methods can be divided into the following two categories: (1) waveform optimization based on point target; (2) waveform optimization based on extended target. Based on point target waveform design, the object of optimization is waveform covariance matrix (WCM) or radar ambiguity func...

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
CPCG01S7/42G01S7/40
Inventor 王洪雁裴炳南汪祖民白云峰裴腾达
Owner DALIAN 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

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap