Space-time adaptive processing method for radar clutters based on prior knowledge

A technology of space-time self-adaptation and processing method, applied in radio wave measurement systems, instruments, etc., can solve the problem of taking into account the clutter characteristics of the unit to be detected, and achieve the effect of improving robustness and improving effect.

Inactive Publication Date: 2017-03-08
XIDIAN UNIV
View PDF5 Cites 18 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In order to improve the performance of the STAP algorithm for space-time adaptive processing in a non-uniform environment, the generalized inner product (GIP) algorithm can be used to eliminate non-uniform training samples from the initial training samples, but the GIP algorithm does not combine the clutter of the unit to be detected In addition, some scholars have proposed knowledge-aided space time adaptive processing (KASTAP) based on prior knowledge, using available radar inertial navigation data, ma

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
  • Space-time adaptive processing method for radar clutters based on prior knowledge
  • Space-time adaptive processing method for radar clutters based on prior knowledge
  • Space-time adaptive processing method for radar clutters based on prior knowledge

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0025] refer to figure 1 , is a flow chart of a prior knowledge-based space-time adaptive processing method for radar clutter of the present invention; the space-time adaptive processing method for radar clutter based on prior knowledge comprises the following steps:

[0026] Step 1, determine the airborne radar, the airborne radar contains N array elements, each array element contains L distance units, and each distance unit contains K coherent pulses, and calculate the N array elements of the airborne radar at the Doppler domain data vector at l range bins

[0027] Initialization: Let k represent the kth coherent pulse, let l represent the lth distance unit, let n represent the nth array element, k∈{1,2,…,K}, n∈{1,2,… ,N}, l∈{1,2,…,L}, each array element contains L distance units, K represents the number of pulses contained in each distance unit, the initial value of k is 1, and the initial value of n is 1, the initial value of l is 1; each coherent pulse corresponds to ...

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 space-time adaptive processing method for radar clutters based on prior knowledge. An airborne radar is determined, the airborne radar includes N array elements, each array element includes L distance units, each distance unit includes K coherent pulses, Doppler domain data vectors in the first distance units of the N array elements of the airborne radar are calculated, and the weighted coefficient alphanlk of the first distance unit in the nth array element and the kth Doppler unit, the Doppler domain data vectors znlk of the first distance unit in the nth array element in the (k-1)th, kth and (k+1)th Doppler channels, and a covariance matrix Rnlk of the first distance unit of the weighted nth array element in the kth Doppler channel are calculated successively; a space-time filter coefficient wnlk of the first distance unit in the nth array element and the kth Doppler channel is calculated, and output data ynlk of the first distance unit in the nth array element and the kth Doppler channel after clutter inhibition is calculated; and further, final Doppler-spectrum output data of the airborne radar after clutter inhibition is calculated.

Description

technical field [0001] The invention belongs to the technical field of radar communication, and in particular relates to a priori knowledge-based radar clutter space-time adaptive processing method, that is, a priori knowledge-based radar clutter space-time adaptive processing (Knowledge-Aided Space TimeAdaptive Processing, KASTAP ) method, which is suitable for solving the problem of inaccurate estimation of airborne radar sampling covariance matrix in non-uniform clutter environment, and can assign different weights to different training samples according to prior knowledge, thereby improving the clutter of adaptive signal processing. Wave suppression performance. Background technique [0002] The main task of airborne early warning radar is to detect targets in complex clutter environment and to locate and track them, and effective suppression of clutter is the core means to improve the performance of early warning radar; space-time adaptive processing technology (SpaceTi...

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): G01S7/41
CPCG01S7/414
Inventor 王彤蔡启程林雪芳
Owner XIDIAN 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