大型阵列降维-和差多波束形成的联合优化算法

doi:10.3969/j.issn.0372-2112.2013.03.017

电子学报 ›› 2013, Vol. 41 ›› Issue (3): 519-525.DOI: 10.3969/j.issn.0372-2112.2013.03.017

大型阵列降维-和差多波束形成的联合优化算法

孙晨伟¹, 陶海红¹, 王莹¹, 吕红丽²

1. 西安电子科技大学雷达信号处理国防科技重点实验室, 陕西西安 710071;
2. 中国电子科技集团公司西安导航技术研究所, 陕西西安 710068

收稿日期:2012-05-28 修回日期:2012-09-07 出版日期:2013-03-25
- 作者简介:
- 孙晨伟 女,1988年生于山东济南,西安电子科技大学雷达信号处理国防科技重点实验室在读硕士研究生,主要研究方向为阵列信号处理、智能优化算法在信号处理中的应用. E-mail:sun_chenwei@163.com; 陶海红 女,1976年生于安徽省亳州市,西安电子科技大学雷达信号处理国家重点实验室教授,博士生导师,从事信号与信息处理的研究与教学工作,主要研究方向为阵型优化设计和自适应波束形成及智能方法在信号处理中的应用.
- 基金资助:
- 国家自然科学基金 (No.60971108); 装备预言基金重点项目 (No.9140A24011210DZ30)

Dimensionality Reduction of Large Scale Phased Array-Joint Optimization of Sum and Difference Multiple Beams

SUN Chen-wei¹, TAO Hai-hong¹, WANG Ying¹, LÜ Hong-li²

1. National Key Laboratory of Science and Technology on Radar Signal Processing, Xidian University, Xi'an, Shaanxi 710071, China;
2. Xi'an Research Institute of Navigation Technology of CETC, Xi'an, Shaanxi 710068, China

Received:2012-05-28 Revised:2012-09-07 Online:2013-03-25 Published:2013-03-25
- Supported by:
- National Natural Science Foundation of China (No.60971108); Armament Pre-research Foundation Key Program (No.9140A24011210DZ30)

摘要/Abstract

摘要： 大型、超大型相控阵列由于具有高增益、指向性强等优点得到越来越广泛的应用,数字波束形成具有抗干扰、波束切换灵活等优点,而基于大型全阵列数字波束形成需要庞大馈电网络与接收/发射通道而面临高成本、低实时性等缺点.针对此,本文提出了一种用于大型阵列的阵列降维-和差数字多波束形成的联合优化算法,该算法对大型阵列采用模拟和数字联合和差多波束形成,通过基于模拟退火、遗传算法和粒子群智能优化算法的子阵划分优化和子阵级与阵元级的和差联合加权逼近优化,保证在模拟子阵方向图内无栅瓣的同时,获得尽可能好的和差波束主副比及差波束零陷深度,且增益损失较小.最后仿真实验和性能分析验证了所提算法的有效性和可行性.

关键词: 大型、超大型阵列, 阵列降维, 智能优化算法, 和差多波束联合优化

Abstract: Large and ultra large scale phased arrays have been more and more widely applied because of its high gain and directiveness in the desired directions.However,the enormous feed networks and receiving/transmitter channels,required by digital beam-forming for the whole array,need huge cost and have poor real time.A novel algorithm,optimized for both subarray division and synthesis subarray weighting of sum and difference patterns,is proposed in the paper,in order to avoid grating lobes and acquire lower sidelobe,deep null of difference patterns and fewer cost of beam gain.The simulation results and performance analysis are given to demonstrate the effectiveness and feasibility of the presented algorithm.

Key words: large and ultra-large scale phased array, subarray division, intelligent optimization algorithm, joint optimization of sum and difference multi beams

中图分类号:

TN957.2

孙晨伟, 陶海红, 王莹, 等. 大型阵列降维-和差多波束形成的联合优化算法[J]. 电子学报, 2013, 41(3): 519-525.

SUN Chen-wei, TAO Hai-hong, WANG Ying, et al. Dimensionality Reduction of Large Scale Phased Array-Joint Optimization of Sum and Difference Multiple Beams[J]. Acta Electronica Sinica, 2013, 41(3): 519-525.

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大型阵列降维-和差多波束形成的联合优化算法

Dimensionality Reduction of Large Scale Phased Array-Joint Optimization of Sum and Difference Multiple Beams

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