SVM (support vector machine) space-time adaptive processing method
A support vector machine and space-time self-adaptive technology, applied in radio wave measurement systems, instruments, etc., can solve problems such as large amount of computation, poor output performance, and high signal-to-clutter ratio of echoes
Inactive Publication Date: 2017-02-22
UNIV OF ELECTRONICS SCI & TECH OF CHINA
View PDF4 Cites 4 Cited by
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
However, the actual system is almost difficult to realize. First, the output signal clutter noise ratio (SINR) of the system is determined by the number of close-range clutter rings in the estimated clutter covariance matrix, that is, the estimated clutter The number of close-range clutter rings in the covariance matrix must follow the guidelines proposed by Reed, Mallett, and Brennan. For reference, see L.S.Reed, J.D.Mallett, and L.E.Brennan, "Rapid convergence rate in adaptive arrays," IEEE Transactions on Aerospace and Electronic Systems, vol.47, no.1 pp.569-585, 2011
Second, the calculation of adaptive weights needs to estimate and invert the high-dimensional clutter covariance matrix, which requires a large amount of calculation
However, this method requires the echo to have a high signal-to-noise ratio, and when the signal-to-noise ratio of the echo signal is low, its output performance is poor
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 moreImage
Smart Image Click on the blue labels to locate them in the text.
Smart ImageViewing Examples
Examples
Experimental program
Comparison scheme
Effect test
Embodiment Construction
[0047] In order to facilitate those skilled in the art to understand the technical content of the present invention, the content of the present invention will be further explained below in conjunction with the accompanying drawings.
[0048] For convenience of describing content of the present invention, at first do following term definition:
[0049] Definition 1. Support Vector Machine
[0050] The prototype of the support vector machine function is as follows
[0051] y=gw+b;
[0052] Among them, g is the training sample vector, which is 1×N s (N s Indicates the dimension of the sample feature vector) row vector, w is the regression coefficient vector, which is N s A column vector of ×1, b is the bias, and y is the function value corresponding to the training sample g.
[0053] The SVM seeks w and b according to the following criteria for regression on the y values
[0054]
[0055] where n is the total number of samples, where ξ i , is the relaxation factor, ε ...
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
Login to View More Abstract
The invention discloses an SVM (support vector machine) space-time adaptive processing method, and the method makes the most of the features of space-time snapshot data after space-time adaptive processing echo demodulation sampling, enables a clutter inhibition problem to be converted into a pattern recognition problem, and achieves the detection of a moving target through an SVM method. Compared with a conventional space-time adaptive processing method, the method can effectively reduce the requirements for the number of echo range gates. Meanwhile, compared with a conventional space-time adaptive processing method based on polynomial, the method still can obtain better detection performance under the condition of low signal to noise ratio. The method fills a gap that a space-time adaptive processing method at a current stage cannot accurately detect the moving target under the conditions that the number of range gates is smaller and the signal to noise ratio of echoes is lower. The method is simple in structure, and is suitable for detection of the moving target.
Description
technical field [0001] The invention belongs to the field of radar detection, in particular to the moving target detection technology of pulse Doppler radar. Background technique [0002] Space-time adaptive processing (STAP for short) is a key technology applied to airborne moving target indication (MTI for short). According to the space-time two-dimensional coupling spectrum characteristics presented by the ground clutter of the airborne radar, the processing of the signals collected at different positions in space (spatial sampling signals) is the direction filtering using the direction of arrival information to distinguish, and at the same time, the time domain and airspace sampling signals, in order to use Doppler spectrum and direction of arrival information to distinguish moving targets from stationary ground clutter. STAP technology can be applied to early-warning aircraft. The ability of airborne early-warning radar containing STAP technology to detect moving targe...
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
Login to View More Patent Type & Authority Applications(China)
IPC IPC(8): G01S7/36
CPCG01S7/36
Inventor 刘喆闵丛丛
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA