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Genetic-algorithm-based quadrature phase coding waveform design method

A quadrature phase and waveform design technology, applied in genetic rules, positioning, genetic models, etc., can solve problems such as low bandwidth, complex system, and small number of users, and achieve good correlation, high Doppler tolerance, high The effect of precision positioning

Inactive Publication Date: 2017-04-19
HARBIN ENG UNIV
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Problems solved by technology

[0005] The purpose of the present invention is to provide a quadrature phase coding waveform design method based on genetic algorithm which solves the problems of the existing waveform design method with few users, complex system and low bandwidth

Method used

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  • Genetic-algorithm-based quadrature phase coding waveform design method
  • Genetic-algorithm-based quadrature phase coding waveform design method
  • Genetic-algorithm-based quadrature phase coding waveform design method

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Embodiment

[0065] The working indicators of an underwater acoustic positioning system are as follows:

[0066] (1) The working frequency is 20~30kHz

[0067] (2) The maximum working slant distance is 300m, and the blind area is not greater than 20m

[0068] (3) Able to locate 4 targets at the same time

[0069] (4) Delay resolution is less than 10us

[0070] According to the requirement that the blind area is not more than 20m, it can be determined that the maximum signal length of the signal is 10*2 / 1500=26ms (the speed of sound is calculated by 1500m / s), and the signal length is 16ms, and the length of each chip is 0.5ms, and the code length N= 32. The number of phases M=4.

[0071] According to the genetic algorithm (the value of crossover probability is 0.8, and the value of mutation probability is 0.1) to obtain a set of orthogonal four-phase coded waveforms.

[0072] By changing the carrier frequency and phase of the signal, more signals can be obtained. Under 10KHz bandwidth,...

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Abstract

The invention relates to a genetic-algorithm-based quadrature phase coding waveform design method. The method comprises: step one, an initial sample signal is generated; step two, fitness of an initial sample is calculated; to be specific, fitness of each individual sequence is calculated by using an MPSR as a fitness function; the MPSR is compared with a design threshold, an algorithm is completed on the condition that the MPSR threshold is met and an individual number reaches a need, and otherwise, execution is carried out continuously; with an optimal reserving method, an individual with the highest fitness in the sample is reserved and is used for replacing an individual with the lowest fitness; pairwise matching is carried out on individuals in the sample randomly, matched parent individuals are replaced based on a certain crossover probability and recombination is carried out to generate new individuals; and on the basis of a certain mutation probability, a code value of a certain individual in the sample changes. Therefore, the formed signal has high correlation, high frequency resolution ratio, high Doppler tolerance, and good anti-reverberation capability. The method is suitable for an acoustic positioning system; and continuous and high-precision positioning is realized.

Description

technical field [0001] The invention relates to a design method of quadrature phase encoding waveform based on genetic algorithm. Background technique [0002] The country pays more and more attention to the ocean, and the development of marine resources and the construction of marine economy have become a major theme of the country today. The underwater acoustic positioning technology is the key to the implementation of underwater operations. Most of the marine engineering construction operations require the underwater acoustic positioning technology to guide the correct navigation and positioning of the towing body. In construction operations, it is inevitable to operate multiple targets at the same time, and locating multiple targets at the same time has always been a difficult problem in underwater acoustic positioning technology. [0003] Genetic Algorithm (Genetic Algorithm) is a simulation Darwinian biological evolution on natural selection and genetics Mechanisti...

Claims

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Application Information

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IPC IPC(8): G01S5/18G01S7/52G06N3/12
CPCG01S5/18G01S7/52G06N3/126
Inventor 孙大军李海鹏韩云峰张居成郑翠娥王永恒
Owner HARBIN ENG UNIV
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