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Cognitive radar waveform optimization method based on Tianniu search algorithm

A search algorithm and waveform optimization technology, applied in the field of cognitive radar, can solve problems such as reducing the accuracy of results, and achieve the effect of simple and convenient waveform optimization method

Active Publication Date: 2018-09-21
TIANJIN UNIV
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Problems solved by technology

However, these problems are generally non-convex [8] problems and cannot be solved directly
However, when using it to solve optimization problems, some constraints are often discarded to reduce the accuracy of the results, so we need to find other methods

Method used

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  • Cognitive radar waveform optimization method based on Tianniu search algorithm
  • Cognitive radar waveform optimization method based on Tianniu search algorithm
  • Cognitive radar waveform optimization method based on Tianniu search algorithm

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specific example

[0053] A specific example of the present invention is as follows:

[0054] Cognitive radar waveform optimization method:

[0055] Step 1: The given objective function is the minimum mean square error between the target scattering coefficient estimated with the maximum posterior probability and the actual value. Set the constraint conditions of the echo, given the dimension D of the received signal and the iteration number MaxDT of the entire beetle whisker search algorithm, given the iteration weight w, the value of w is less than 1, randomly initialize the position x of the beetle beard algorithm, and initialize the global optimal value x bst , the optimal function value f bst .

[0056] Step 2: Generate a random vector dir as the direction of the tentacles.

[0057] Step 3: Calculate the positions of the two antennae according to the formula:

[0058] Xl=X+d0*dir / 2, Xr=X-d0*dir / 2. Xl represents the position of the longicorn's left antennae, and Xr represents the positi...

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Abstract

The present invention belongs to the field of cognitive radar, and proposes a waveform optimization method based on the Tianniu search algorithm. The method is simpler and more convenient, and can achieve better effects than the existing methods. The technical scheme used in the present invention is a cognitive radar waveform optimization method based on the Tianniu search algorithm. The method comprises: using waveform information received by a radar receiver to estimate a target scattering coefficient, wherein in the estimation method, the maximum posterior probability estimation is used andthe Kalman filter is used for iterative estimation; comparing the estimated target scattering coefficient with the actual target scattering coefficient, and calculating the minimum mean square errorbetween the two; taking the transmitted waveform as the variable and the minimum mean square error as the objective function, and designing a mathematical model of the optimization objective; and using the Tianniu search algorithm to solve the mathematical model to obtain the transmitted waveform when the objective function is at a minimum. The method provided by the present invention is mainly applied to the design and manufacturing of cognitive radar.

Description

technical field [0001] The invention belongs to the field of cognitive radar and is a novel method for improving waveform optimization of cognitive radar. It specifically relates to a beetle-beetle search algorithm, which optimizes the adaptive waveform in the cognitive radar, so as to improve the estimation accuracy of the scattering coefficient of the target in the environment. 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 improving the estimation and detection performance of the system. In the transmitter, the transmitted waveform is altered based on the information obtained in order to accurately estimate the target. Therefore, the most important ...

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Application Information

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IPC IPC(8): G06F17/15G06N3/00
CPCG06F17/15G06N3/006
Inventor 汪清李萌高丽蓉窦同东
Owner TIANJIN UNIV
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