基于量子粒子群優(yōu)化的短波相控陣天線的激勵(lì)優(yōu)化研究

范啟蒙; 尹成友; 廖飛龍

doi:10.11999/JEIT160819

基于量子粒子群優(yōu)化的短波相控陣天線的激勵(lì)優(yōu)化研究

doi: 10.11999/JEIT160819

1.
(解放軍電子工程學(xué)院合肥 230037) ②(陸軍軍官學(xué)院合肥 230037)

基金項(xiàng)目:

安徽省自然科學(xué)基金(1408085QF121)

計(jì)量
- 文章訪問(wèn)數(shù): 1132
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出版歷程
- 收稿日期: 2016-08-03
- 修回日期: 2017-01-20
- 刊出日期: 2017-07-19

Analysis of Excitation Optimization of Short Wave Phased Array Based on Quantum-behaved Particle Swarm Optimization

1.
(Electronic Engineering Institute of PLA, Hefei 230037, China)
2.
(Army Officer Academy of PLA, Hefei 230037, China)

Funds:

The Natural Science Foundation of Anhui Province (1408085QF121)

摘要

摘要: 為加強(qiáng)短波裝備遠(yuǎn)距離通信和電子對(duì)抗的干擾能力，須提高近地架設(shè)的寬帶短波相控陣天線的性能，該文首先利用矩量法建立分析天線陣列的基本框架，然后再結(jié)合空域格林函數(shù)將天線剖分子模的輻射場(chǎng)分解成自由空間部分和含索末菲積分的部分，前者可以直接得到閉式表達(dá)，后者采用二級(jí)離散復(fù)鏡像方法得到近似解，經(jīng)過(guò)處理，阻抗矩陣填充速度極大提高。然后基于阻抗矩陣，結(jié)合網(wǎng)絡(luò)理論并利用量子粒子群優(yōu)化方法(QPSO)對(duì)陣列的激勵(lì)相位進(jìn)行優(yōu)化，以控制波束指向和提高增益，能夠在電離層參數(shù)隨時(shí)空變化情況下，靈活地完成點(diǎn)對(duì)點(diǎn)天波傳播，有較高的實(shí)際應(yīng)用價(jià)值。
- 天波傳播 /
- 矩量法 /
- 快速算法 /
- 最優(yōu)激勵(lì) /
- 量子粒子群優(yōu)化算法
Abstract: In order to enhance long-distance communication performance and jamming ability in electronic warfare for shortwave equipment, performance improvement of near-ground wideband short wave phased array is required. Firstly, method of moments is adopted to construct the analysis framework, then the radiation field of antenna elements is decomposed into free-space part and Sommerfeld-integral part with the help of formulation of spatial Green,s function, the former part can be expressed in closed form and the latter part can be approximated by two-level DCIM. After that, the efficiency of filling impedance matrix is enormously increased. Finally, based on the impedance matrix, combining with network theory, Quantum-behaved Particle Swarm Optimization (QPSO) is employed to search for optimal excitation phases, through which high gain and beam scanning are realized. Furthermore, point-point sky wave propagation is implemented neatly in the condition of temporal and spatial variation of ionosphere parameters, thus the array is of great value in practical applications.
- Sky wave propagation /
- Method of Moments (MoM) /
- Fast algorithm /
- Optimal excitation /
- Quantum- behaved Particle Swarm Optimization (QPSO)

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