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

A joint estimation method of sky-wave over-the-horizon radar target and ionospheric parameters

An over-the-horizon radar and target parameter technology, applied in the radar field, can solve problems such as low estimation accuracy, ignoring detection equipment errors, and high input signal-to-noise ratio

Inactive Publication Date: 2018-12-18
UNIV OF ELECTRONICS SCI & TECH OF CHINA
View PDF4 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The ionospheric parameters are obtained by the inversion of the ionospheric detection equipment, which has a large measurement error. In similar algorithms, the ionospheric parameters are regarded as unbiased information, ignoring the error of the detection equipment, and the estimated target parameters are all not precise enough
[0003] The existing sky-wave radar maneuvering target parameter estimation algorithms mainly fall into two categories: the first is the maneuvering target detection method based on time-frequency analysis, such as the adaptive wavelet transform algorithm (Wang G, Xia X G, Root B T, et al. Movingtarget detection in over-the-horizon radar using adaptive chirplet transform[J].Radio Science,2002,38(4):77-84.) and Wigner-Ville decomposition method (Frazer G J,AndersonS J.Wigner-Ville analysis of HF radar measurement of an accelerating target[C]International Symposium on Signal Processing and ITS Applications.1999:317-320vol.1.), but when there are multiple maneuvering targets, this type of method will be interfered by the cross term
The second category is the maneuvering target detection algorithm based on polynomial phase modeling, such as the maneuvering target compensation method based on the high-order ambiguity function (HAF) (LuK, Liu X. Enhanced visibility of maneuvering targets for high-frequency over-the-horizon radar [J].IEEE Transactions on Antennas&Propagation,2005,53(1):404-411.), this method solves the coefficients of each order of the polynomial through the high-order fuzzy function to estimate the parameters of the maneuvering target, which has the advantage of low calculation amount, but this method The method requires a high input signal-to-noise ratio when solving the high-order coefficients of polynomials, and there is an obvious error accumulation effect
The other is a maneuvering target detection algorithm based on Cubic Phase Function (CPF) (O'Shea P.A new technique for instantaneous frequency rate estimation [J]. IEEE Signal Processing Letters, 2002, 9(8): 251-252 .), the algorithm avoids the multiple use of nonlinear transformation and reduces the SNR loss, but the estimation accuracy is not high
[0004] In engineering practice, the measurement error of ionospheric detection equipment seriously affects the target parameter estimation accuracy of sky-wave over-the-horizon radar, and all current maneuvering target parameter estimation algorithms do not consider the influence of ionospheric detection equipment error

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
  • A joint estimation method of sky-wave over-the-horizon radar target and ionospheric parameters
  • A joint estimation method of sky-wave over-the-horizon radar target and ionospheric parameters
  • A joint estimation method of sky-wave over-the-horizon radar target and ionospheric parameters

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0065] Embodiment 1: Performance analysis combined with classical maximum likelihood algorithm:

[0066] figure 1 is the mean square error (MSE) curve of the target distance estimated by the method of the present invention (the algorithm in this paper in the figure, the same below) and the maximum likelihood (ML) algorithm respectively. figure 2 with image 3 are the MSE curves of the estimated target velocity and acceleration under the same conditions, respectively. It can be seen from the figure that as the SNR increases, the MSE curve gradually decreases, and the estimation error gradually decreases. The curve of the method proposed by the present invention is obviously lower than that of the classic maximum likelihood method, which shows that the method is always better than the maximum likelihood method. In the case of small ionospheric detection equipment error, the estimation error of the proposed method is smaller, but because the error information of the ionospher...

Embodiment 2

[0067] Example 2: Performance Analysis Jointly with Other Target Estimation Algorithms

[0068] Figure 4 are the HAF and CPF methods, and the mean square error (MSE) curve of the target distance estimated after the improvement of the method of the present invention. Figure 5 with Image 6 are the MSE curves of the estimated target velocity and acceleration under the same conditions, respectively. It can be seen from the figure that as the SNR increases, the estimation errors of all algorithms decrease. Most of the time, the CPF algorithm is better than the HAF algorithm, which is due to the different sensitivity of the algorithm to the SNR. In addition, it can be found that the MSE curve using the method of the present invention is significantly lower than that of the HAF and CPF algorithms, and is equally spaced compared to the original curve, which is consistent with the theory and proves that the proposed method of the present invention is an existing The further upda...

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 sky-wave over-the-horizon radar target and ionospheric parameter joint estimation method, which belongs to the technical field of radar. The invention sets the parameter to be estimated as the joint parameter of the target and the ionosphere, uses an analytical model to convert the error of the ionosphere detection equipment into an estimation error of the target parameter, corrects the estimated parameter, and realizes joint estimation of the ionosphere and the target parameter. The invention solves the problem that the ionospheric parameter error estimation cannot be combined in the existing estimation method, enables the ionospheric error information to be effectively used, and improves the estimation accuracy.

Description

technical field [0001] The invention belongs to the field of radar technology, and in particular relates to an algorithm for jointly estimating sky-wave over-the-horizon radar target parameters by using ionospheric information. Background technique [0002] OTHR (Over-the-horizon radar) uses high-frequency electromagnetic waves of 3-30MHz to propagate from top to bottom after ionospheric reflection. It can realize large-area and ultra-long-distance target detection, and has important tactical and strategic value. In the current OTHR research, the estimation of target parameters is the fundamental purpose of OTHR engineering application, so the accurate estimation of target parameters is of great significance. Due to the special working mode of OTHR, the study of ionosphere is very important. The ionospheric parameters are obtained by the inversion of the ionospheric detection equipment, which has a large measurement error. In similar algorithms, the ionospheric parameters ...

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 Patents(China)
IPC IPC(8): G01S7/41
CPCG01S7/41
Inventor 胡进峰薛长飘
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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