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Improved genetic algorithm-based m-sequence radar signal waveform optimization method

A technology for improving genetic algorithms and radar signals. It is used in radio wave measurement systems, instruments, etc. It can solve the problems of weak local search ability and easy to fall into local optimal solutions, and achieve the effect of maintaining population diversity.

Inactive Publication Date: 2012-08-01
XIDIAN UNIV
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Problems solved by technology

[0004] The present invention aims at the two shortcomings of weak local search ability and easy to fall into local optimal solution exposed by the standard genetic algorithm in the process of searching for the optimal m-sequence radar signal waveform, and proposes an m-sequence radar based on an improved genetic algorithm The signal optimization method can prevent the optimization process from falling into local suboptimality, and can quickly converge to the optimal m-sequence radar signal, ensuring that the signal has a large pulse rate under the condition that the bandwidth product of the signal is constant when the signal is transmitted. The ratio of main and side lobe is suppressed, which is beneficial to the detection of weak targets in the side lobe area of ​​strong target echo

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  • Improved genetic algorithm-based m-sequence radar signal waveform optimization method
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  • Improved genetic algorithm-based m-sequence radar signal waveform optimization method

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Embodiment Construction

[0025] refer to figure 1 , the specific implementation steps of the present invention are as follows:

[0026] Step 1. Set parameters.

[0027] According to the order N=2, 3, ..., 11 of the known m-sequence radar signal shift register, select the population size M = 10, 11, ..., 1000 and the Hamming threshold H F =1, 2, ..., N-1, where M needs to be less than 2 N -1,H F Need to be greater than Set the ruling class size M T =7%×M, middle class size M M =60%×M, bottom layer size M F =33%×M; select the number of iterations D=2, 3, . . . , 1000, where D is any natural number greater than 20.

[0028] Step 2. Generate population to be evolved

[0029] Using any random sequence generation mechanism, randomly generate M binary sequences with a length of N, and use them as m-sequence radar signal shift register values ​​to form a population to be evolved.

[0030] Step 3. According to the fitness function F(x), respectively calculate the fitness of all shift register values ...

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Abstract

The invention discloses an improved genetic algorithm-based m-sequence radar signal waveform optimization method which is implemented through the following steps of: dividing randomly-generated populations to be evolved into a ruling class, a middle class and a bottom class according to fitness in a descending order; carrying out evolution on the three classes by using different evolutionary strategies, wherein the ruling class is evolved by using overall crossover after the accessibility of the ruling class is limited by using a hamming distance, the middle class is evolved by using a standard genetic algorithm, and the bottom class is evolved by carrying out replacement by using randomly-generated new individuals; after the three classes are respectively evolved, completing a populationupdating process; and through multiple population updating processes, obtaining an optimal m-sequence radar signal. By using the method disclosed by the invention, a situation that an optimization process is in a local suboptimal state can be prevented, an optimal m-sequence can be converged quickly, and a situation that a biphase coded radar signal encoded by the sequence has a big pulse-pressure main-to-side lobe ratio under the condition of a certain bandwidth product in the process of signal emission can be guaranteed, thereby facilitating the detection on dim targets in a strong target echo pulse pressure side lobe area.

Description

technical field [0001] The invention belongs to the technical field of signal processing, relates to radar signal optimization, and can be used to find the optimal m-sequence radar signal waveform. Background technique [0002] In modern radar systems, in order to obtain high range resolution without reducing the radar detection range, radar signal processing mostly uses pulse compression technology. The m-sequence is a binary pseudo-random sequence, and the binomial Coded radar signals may have a large time-width-bandwidth product. The design of m-sequence radar signal waveform directly affects the performance of the whole radar system. Many methods have been proposed for the design of the optimal signal of m-sequence radar, including traversal search method, random search method, etc. However, with the increasing complexity of m-sequence radar signals, the above methods are difficult to meet the design requirements. Genetic algorithm is used to find the optimal radar sig...

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Application Information

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IPC IPC(8): G01S7/02
Inventor 李明李响吴艳左磊张鹏陈洪猛贾璐
Owner XIDIAN UNIV
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