Biological heuristic algorithm based stealth target identification method of cognitive radar

A heuristic algorithm, cognitive radar technology, applied in the field of cognitive radar stealth target recognition based on biological heuristic algorithm, can solve problems such as waveform optimization

Inactive Publication Date: 2019-08-09
TIANJIN UNIV
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Problems solved by technology

Therefore, the most important problem of cognitive radar is the waveform optimization problem

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  • Biological heuristic algorithm based stealth target identification method of cognitive radar
  • Biological heuristic algorithm based stealth target identification method of cognitive radar
  • Biological heuristic algorithm based stealth target identification method of cognitive radar

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specific example

[0075] A specific example of the present invention is as follows:

[0076] Cognitive radar stealth target recognition method:

[0077] Step 1: First use the method of physical optics to model the radar cross-sectional area of ​​the stealth target, and define it according to the radar cross-sectional area In the case of certain r and φ, find the θ that can maximize the radar cross-sectional area;

[0078] Step 2: Expand the radar cross-sectional area of ​​each triangular surface element in this direction

[0079] Step 3: Calculate the radar cross-sectional area of ​​the stealth extended target to be identified at a certain resolution;

[0080] Step 4: The transmitter transmits the waveform, and the receiver estimates the radar cross-sectional area of ​​the stealth extended target with the maximum a posteriori probability according to the received signal, and compares it with the actual one to calculate the minimum mean square error expression;

[0081] Step 5: The transmi...

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Abstract

The invention relates to a biological heuristic algorithm based stealth target identification method of a cognitive radar, belongs to the technical field of cognitive radars, and aims at providing a biological heuristic algorithm based waveform optimization method which is simpler and more convenient and has a better effect compared with a present method. According to the method, a target scattering coefficient is estimated by using waveform information received by a radar receiver, maximal posterior probability estimation is used and then Kalman filtering is used for iterative estimation, theestimated target scattering coefficient is compared with a practical target scattering coefficient, a minimum mean squared error therebetween is calculated, a biological heuristic algorithm is used for solving by taking the sending waveform as a variable and the minimum mean squared error as a target function, and the sending form when the target function is minimal is obtained. The method is mainly applied to design and manufacture of the cognitive radar.

Description

technical field [0001] The invention belongs to the field of cognitive radar recognition, and its main feature is that the recognition target is a stealth target, and the radar cross-sectional area of ​​the stealth target is modeled by the method of physical optics, and specifically related to the detection of the stealth target, using Cognitive radar recognizes the stealthy extended target in the direction of the largest radar cross-sectional area, and applies the biological heuristic algorithm to the solution of the optimized objective function, which can better improve the recognition performance. Background technique [0002] Cognitive radar system is composed of transmitter, receiver and environment, and it is a closed-loop system [1]. One of the key functions of the receiver is to feed back the received environmental information to the transmitter, and the transmitter optimizes the transmitted waveform according to the feedback information, thereby continuously improvi...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S7/41G06F17/50
CPCG01S7/41G01S7/418G06F30/20
Inventor 汪清李萌高丽蓉郭钰章
Owner TIANJIN UNIV
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