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

Fast fluctuating target dual threshold constant false alarm detection method based on multistatic radar

A technology for constant false alarm detection and fluctuating targets, which is applied in the field of radar, can solve the problems of constant false alarm detection of non-targets, difficult pre-estimation of clutter and noise power, etc., so as to reduce the transmission information bandwidth, improve the detection performance, and reduce the complexity. degree of effect

Active Publication Date: 2017-11-24
XIDIAN UNIV
View PDF4 Cites 11 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0010] The above detection method is only applicable when the clutter and noise power are known and the target fluctuation model is slow fluctuation
However, in actual radar work, clutter and noise power are difficult to estimate in advance, and when the attitude angle of the radar line of sight changes sharply and the target fluctuation model is fast fluctuation, the above method cannot perform constant false alarm detection on the target

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
  • Fast fluctuating target dual threshold constant false alarm detection method based on multistatic radar
  • Fast fluctuating target dual threshold constant false alarm detection method based on multistatic radar
  • Fast fluctuating target dual threshold constant false alarm detection method based on multistatic radar

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0034] Reference figure 1 , The implementation steps of the present invention are as follows:

[0035] Step 1. Collect the radar echo signal to obtain the N×L×(K+1)-dimensional original data matrix:

[0036] X=[X 1 ,X 2 ,...,X n ,...,X N ],

[0037] Where X n Represents the original data in the nth spatial diversity channel, X n It is an L×(K+1)-dimensional matrix, which is expressed as follows:

[0038]

[0039] Where x nls Represents the s+1th data of the lth pulse in the nth space diversity channel, n=1, 2,...,N, N is the number of space diversity channels, l=1,2,...,L , L is the number of pulses included in an incoherent accumulation period, when s=0, x nls Represents detection unit information, when s=1, 2,...,K, x nls Represents the reference unit information near the detection unit, and K represents the number of reference units near the detection unit.

[0040] Step 2. Perform detection on the original data matrix X.

[0041] Commonly used detection methods include square-la...

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 fast fluctuating target dual threshold constant false alarm detection method based on a multistatic radar. The method comprises steps: 1, echo data are collected; 2, the collected echo data are subjected to square law detection; 3, according to the data after square law detection, a local test statistic is calculated; 4, a first threshold is calculated, the local test statistic is judged according to the first threshold, if the local test statistic is larger than the first threshold, the local test statistic is transmitted to a fusion center, or otherwise, elimination is carried out; 5, according to the local test statistic transmitted to the fusion center, a global test statistic is calculated; and 6, a second threshold is estimated, the global test statistic is judged according to the second threshold, if the global test statistic is larger than the second threshold, existence of the target is judged, or otherwise, the target is judged not to exist. The radar target can be effectively detected, the system is simple, the applicability is wide, and the method can be used to improve the multistatic radar target detection performance.

Description

Technical field [0001] The invention belongs to the field of radar technology, and specifically is a method for fast-fluctuating target double-threshold constant false alarm detection, which can be used in a multistatic radar target detection system. Background technique [0002] In a multistatic radar system, in order to obtain the best detection performance under certain criteria, it is usually necessary for each radar station to transmit all the received signals to the fusion center, which undoubtedly requires a large communication transmission bandwidth. The communication bandwidth can easily meet the data transmission requirements, but this wired connection method limits the mobility and flexibility of the radar station. But for mobile platforms such as airborne radar and shipborne radar, it is necessary to transmit the radar echo data to the processing center through wireless transmission. In this case, the signal transmission bandwidth often cannot meet the data transmiss...

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): G01S7/41
CPCG01S7/41
Inventor 苏洪涛李志华刘宏伟赵永波
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