CN-117914375-B - Self-adaptive wave beam maintaining method for local failure removing channel

CN117914375BCN 117914375 BCN117914375 BCN 117914375BCN-117914375-B

Abstract

The invention discloses a self-adaptive wave beam maintaining method for a local failure removing channel, which acquires radar array surface failure channel information through a radar internal and external monitoring means. And establishing an evolution target, substituting fault channel information to establish a first generation population, and setting gene values corresponding to the fault channels of all individuals of the first generation population to zero. And establishing an fitness function according to the array surface characteristics, performing fitness evaluation on the first generation population, setting a preferential area, randomly selecting a parent individual and a parent individual in the preferential area, randomly selecting gene breakpoints, and exchanging gene fragments of the parent individual and the parent individual to generate a pair of child individuals. Setting a genetic variation factor, a genetic variation maximum range and a genetic variation range, generating a corresponding number of offspring individuals, grading and sequencing the fitness of the offspring population and the parent population together, and reserving the number of individuals specified by the population number. Repeating the evolution process until the designated evolution times are reached or the beam results corresponding to the optimal individuals completely meet the evolution targets.

Inventors

YANG LEI
ZHANG QIAO
SUN LEI
WANG ZHEN
YU DAQUN
GUAN LINHAI
LIU XINAN

Assignees

中国电子科技集团公司第十四研究所
南京恩瑞特实业有限公司

Dates

Publication Date: 20260505
Application Date: 20240227

Claims (8)

1. The self-adaptive beam maintaining method for the local failure removing channel is characterized by comprising the following steps of: step one, acquiring radar array surface fault channel information through a radar internal and external monitoring means; step two, establishing evolution targets, wherein the evolution targets respectively prescribe the maximum value and the minimum value of radar beams; step three, substituting fault channel information to establish a first generation population, and setting gene values corresponding to fault channels of all individuals of the first generation population to zero, wherein the first generation population is expressed as Wherein Representing the corresponding gene value of each channel amplitude and phase information, and setting the corresponding gene value of the fault channel to zero, namely the corresponding gene value The population quantity is , Is the first Individual, number of genes is ; Step four, establishing a fitness function according to the array surface characteristics Wherein And The upper limit and the lower limit of the evolution target are respectively, An array plane radiation beam result obtained by calculating individuals in the population; fifthly, evaluating the fitness of the first generation population, scoring and sequencing each individual; step six, setting a preferential area, randomly selecting a father and a mother in the preferential area, randomly selecting gene breakpoints, and exchanging gene fragments of the father and the mother to generate a pair of child; step seven, setting the gene variation factor Maximum range of genetic variation Range of Gene variation , wherein, The number and the position of the random variation genes are in the process, the variation quantity of the position of the gene corresponding to the fault channel is set to zero, namely the gene corresponding to the fault channel is locked, so that the gene is not mutated in the process of evolution; generating a corresponding number of offspring individuals according to the pairing times, grading and sorting the fitness of the offspring population and the father population together, selecting and only keeping the number of individuals specified by the population number, namely the population number ; Step nine, repeating the evolution process until the appointed evolution times are reached or the beam result corresponding to the optimal individual completely accords with the evolution target; And step ten, verifying whether the channel amplitude and phase obtained by the algorithm meet the beam maintaining requirement.
2. The method of claim 1, wherein the most important of the failed channel information in the first step is the position of the failed channel, and all the failed channels do not radiate energy during use.
3. The method for maintaining adaptive beams of local failure removing channels according to claim 1, wherein in the second step, the evolution target can make constraint on the indexes such as beam width and side lobe, and the evolution target is performed according to the index requirement, and the evolution aim is to make the beam reach high side lobe suppression under the condition of ensuring the beam width unchanged, or make the beam ensure the highest side lobe suppression and feed back the beam width condition.
4. The method for maintaining adaptive beams of locally removed failed channels as recited in claim 1, wherein said step three substitutes failed channel information to create a first generation population , The information of the (a) is obtained from the fault channel information obtained in the step one, and the gene number is Determined by the number of channels in the array, the population number is Set by the accuracy and speed required by the algorithm.
5. The method for maintaining adaptive beams of locally removed failed channels as recited in claim 1, wherein in step four, a fitness function is established to optimize the target upper limit And lower limit of Beam results of radiation Is the same as the calculated point number of the (c), and maps with airspace angles one by one.
6. The method for maintaining adaptive beams for local failure removing channels according to claim 1, wherein in the sixth step, a preferential area is set, the preferential area is a selection range of a parent individual, the preferential area is defined according to fitness scores, and the number of gene breakpoints, namely, positions and times of gene segment exchanges of the parent individual are performed at random positions for a plurality of times.
7. The method for adaptive beam-holding for a locally-removed failed channel as recited in claim 1, wherein said step seven includes a genetic variation factor Maximum range of genetic variation All are constants, the degree of variation is determined, the range of variation of the gene is the amount which does not become small along with the time of evolution, and the time of evolution corresponds to the number of times of evolution in the algorithm.
8. The method for maintaining adaptive beams of local failure removing channels according to claim 1, wherein in the step ten, it is verified whether the channel amplitude and phase obtained by the algorithm meets the beam maintaining requirement, the channel amplitude and phase result obtained by the algorithm needs to meet the amplitude and phase quantization requirement of each channel of the radar, and the method is applied to an actual radar array surface, and the quantized beam result of each channel amplitude and phase is verified by electromagnetic simulation software.

Description

Self-adaptive wave beam maintaining method for local failure removing channel Technical Field The invention relates to an antenna and microwave technology, in particular to a self-adaptive wave beam holding method for a local failure removing channel. Background The phased array radar has been fully utilized in various military and civil fields due to the unique advantages of multiple functions, strong maneuverability, short reaction time, high data rate, strong anti-interference capability, high reliability and the like. In the field of meteorological radars, the phased array radar can greatly shorten the radar scanning time and greatly improve the early warning capability of short-time medium-small scale convection weather. This makes phased array radar popular in the meteorological field. However, weather detection requires the beam width of the radar to be known, which requires the radar to maintain a stable beam width, relatively high side lobe suppression during operation. While the high reliability of phased array radar makes it stable in the event of a failure of the array part channel, damage to the array part channel necessarily results in deterioration of the radar beam. How to eliminate the limitation of beam degradation in the partial channel fault state to the application of the beam degradation in the meteorological field is a problem to be solved urgently. The patent application with the application number of 202011044199.X is a beam forming simulation design method based on a genetic algorithm. According to the method, the target beam limited between two constraint lines is formed through continuous iterative optimization, and a 40-DEG wide beam complementary cutting square forming directional diagram is realized. However, the optimization method cannot be used under the condition that the array surface has a fault channel, and cannot meet the requirements of the meteorological field for maintaining stable beam width and relatively high side lobe suppression under the condition that the array surface part of the channel has a fault. Disclosure of Invention Aiming at the problems in the prior art, the invention provides the self-adaptive wave beam maintaining method for the local failure removing channel, which is used for bringing the failure channel into the wave beam forming algorithm to form the self-adaptive wave beam maintaining algorithm for the local failure removing channel, self-adaptively optimizing the optimal amplitude phase of the rest normal channel through the failure channel information fed back by the radar monitoring link, removing the influence of the failure channel, maintaining the stable indexes such as wave beam width, side lobe inhibition and the like, and meeting the requirement of the weather field on the stable wave beam shape. The aim of the invention is achieved by the following technical scheme. A method for maintaining a self-adaptive beam of a local-failure-removing channel, comprising the steps of: step one, acquiring radar array surface fault channel information through a radar internal and external monitoring means; step two, establishing evolution targets, wherein the evolution targets respectively prescribe the maximum value and the minimum value of radar beams; step three, substituting fault channel information to establish a first generation population, and setting gene values corresponding to fault channels of all individuals of the first generation population to zero, wherein the first generation population is expressed as WhereinRepresenting the corresponding gene value of each channel amplitude and phase information, and setting the corresponding gene value of the fault channel to zero, namely the corresponding gene valueThe population quantity is,Is the firstIndividual, number of genes is; Step four, establishing a fitness function according to the array surface characteristicsWhereinAndThe upper limit and the lower limit of the evolution target are respectively,An array plane radiation beam result obtained by calculating individuals in the population; fifthly, evaluating the fitness of the first generation population, scoring and sequencing each individual; step six, setting a preferential area, randomly selecting a father and a mother in the preferential area, randomly selecting gene breakpoints, and exchanging gene fragments of the father and the mother to generate a pair of child; step seven, setting the gene variation factor Maximum range of genetic variationRange of Gene variation, wherein,The number and the position of the random variation genes are in the process, the variation quantity of the position of the gene corresponding to the fault channel is set to zero, namely the gene corresponding to the fault channel is locked, so that the gene is not mutated in the process of evolution; generating a corresponding number of offspring individuals according to the pairing times, grading and sorting the fitness of the offspring population and th