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基于遗传算法和分选识别需求的频段驻留时间优化设计

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为有效提高信号接收系统前端截获概率并加快系统调试进度,提出了一种基于遗传算法和分选识别需求的频段驻留时间优化设计方法.该方法首先基于窗口函数模型获得前端截获概率计算公式,其次将优化频段驻留时间最大值问题抽象为约束条件下的非线性优化问题,并基于遗传算法进行迭代优化,最后结合辐射源信号正确分选和识别需求优化频段驻留时间最小值,从而得到最优频段驻留时间范围.结果表明,该优化设计方法可实现频段驻留时间范围的最优化,在提高系统前端截获概率的同时可解决现场调试费事费力问题,加快系统调试进度,适用于实际工程应用.
Optimization Design of Frequency Band Dwell Time Based on Genetic Algorithm and Sorting and Identification Requirement
A frequency band dwell time optimization design method based on genetic algorithm and sorting recognition requirements is proposed to effectively improve the interception probability of the signal receiving system front-end and accelerate the system debugging progress.This method first obtains the calculation formula for front-end interception probability based on a window function model.Secondly,it abstracts the problem of optimizing the maximum frequency band residence time as a nonlinear optimization problem under constraint conditions,and iteratively optimizes it based on genetic algorithm.Finally,it optimizes the minimum frequency band residence time based on the correct selection and recognition requirements of radiation source signals,thus obtaining the optimal frequency band residence time range.The results show that this optimization design method can achieve the optimization of the frequency band residence time range,improve the interception probability of the system front-end,solve the problem of laborious on-site debugging,accelerate the system debugging progress,and is suitable for practical engineering applications.

front-end interception probabilityfrequency band dwell timegenetic algorithmwindow function modelnonlinear optimization

颉宏宇、李侃、向川云、郭祥平、侯官茂

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西南电子设备研究所,四川 成都 610036

前端截获概率 频段驻留时间 遗传算法 窗口函数模型 非线性优化

2024

自动化应用
重庆西南信息有限公司

自动化应用

影响因子:0.156
ISSN:1674-778X
年,卷(期):2024.65(17)