Self-adaptive sampling method based on multiple sequential-filtering interaction-type models

An interactive multi-model, adaptive sampling technique used in the reflection/re-radiation of radio waves, radio wave measurement systems, instruments, etc.

Active Publication Date: 2019-01-18
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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Problems solved by technology

[0004] This invention mainly solves the problem of phased array radar adaptive time resource management, and proposes an adaptive sampling method based on sequential filtering interactive multi-model

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  • Self-adaptive sampling method based on multiple sequential-filtering interaction-type models
  • Self-adaptive sampling method based on multiple sequential-filtering interaction-type models
  • Self-adaptive sampling method based on multiple sequential-filtering interaction-type models

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Embodiment Construction

[0085] In this implementation scheme, a Doppler radar is considered to track a maneuvering moving target in a two-dimensional plane. Assuming that the target initial value position is x=6000m, y=5000m, set v x =350m / s,v y = 0m / s is the initial speed, perform uniform motion between 1~60s, 75~100s and 115~200s respectively, and uniformly accelerate motion at 60~75s and 100~115s, when 60~75s, the acceleration in two directions Respectively: a x =-23m / s 2 ,a y =-25m / s 2 ;The accelerations in the two directions at 100~115s are respectively: 24m / s 2 ,a y =25m / s 2 . The statistical characteristics of measurement noise are described by the standard deviation of azimuth, distance and radial velocity in the polar coordinate system, and the set of sampling periods is T se ={0.1,0.2,...,2.5}, the ASP-SQ-IMM algorithm is used to track the target, the model set is composed of uniform velocity motion (CV) and uniform acceleration motion (CA) models, and the initial probability of ea...

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Abstract

The invention discloses a self-adaptive sampling method based on multiple sequential-filtering interaction-type models, relates to the field of time resource management of phased array radar, and mainly aims to solve the problem of self-adaption of sampling cycles in maneuvering target tracking of phased array radar with Doppler measurement. According to the method, a prediction covariance threshold method is embedded into a method of the multiple sequential-filtering interaction-type models, and update probability of the model is obtained by using prediction probability of all the models andthe mean of prediction model probability of a position measurement-based filter set and a pseudo-measurement-based filter set. According to this method, an algorithm of the multiple interaction-type models is used as a basic framework, and all model filters adopt a sequentially connected structure to complete processing on position measurement and Doppler measurement.

Description

technical field [0001] The invention relates to the field of time resource management of phased array radar, and mainly aims at the self-adaptive problem of the sampling period when the phased array radar with Doppler measurement is used for tracking maneuvering targets. Background technique [0002] In modern military battlefields and civilian fields, phased array radar is widely used as an advanced active electronically scanned array multifunctional device, which is different from the traditional method of mechanical radar that relies on the mechanical rotation of the antenna to achieve beam scanning. It uses electronic means to change the operating frequency or phase of the antenna to change the direction of the radar beam to complete the scan (see literature: Zhang Guangyi, Zhao Yujie. Phased Array Radar Technology [M]. Beijing: Electronic Industry Press, 2006). Because phased array radar has the characteristics of flexibility and quickness, its system resources can be f...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S13/72
CPCG01S13/72
Inventor 程婷彭瀚苏洋魏雪娇陆晓莹
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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