基于帕累托最優(yōu)的雷達(dá)-通信共享孔徑研究

石長安; 劉一民; 王希勤; 于鵬

doi:10.11999/JEIT151377

基于帕累托最優(yōu)的雷達(dá)-通信共享孔徑研究

doi: 10.11999/JEIT151377 cstr: 32379.14.JEIT151377

2.
(清華大學(xué)電子工程系北京 100084) ②(中國洛陽電子裝備試驗中心洛陽 471003)

基金項目:

國家自然科學(xué)基金(61571260)

計量
- 文章訪問數(shù): 1852
- HTML全文瀏覽量: 157
- PDF下載量: 395
- 被引次數(shù): 0
出版歷程
- 收稿日期: 2015-12-08
- 修回日期: 2016-05-13
- 刊出日期: 2016-09-19

Optimal Allocation of Shared Aperture in Radar-communication Integrated System Based on Pareto Optimality

2.
(Department of Electronic Engineering, Tsinghua University, Beijing 100084, China)

Funds:

The National Natural Science Foundation of China (61571260)

摘要

摘要: 針對雷達(dá)-通信綜合射頻系統(tǒng)，該文提出一種基于環(huán)境信息的共享孔徑動態(tài)分配方法。首先基于帕累托最優(yōu)理論將共享孔徑分配建模為一個多目標(biāo)優(yōu)化問題，并建立了雷達(dá)陣列方向圖的峰值旁瓣電平和多輸入多輸出(MIMO)通信系統(tǒng)的信道容量兩個優(yōu)化目標(biāo)函數(shù)。然后提出一種基于整數(shù)編碼的改進(jìn)粒子群算法，通過迭代求解以帕累托前沿的形式給出一組最優(yōu)解，供決策者根據(jù)任務(wù)需求從中選出一個最滿意的解。最后，仿真結(jié)果驗證了該方法的有效性。
- 共享孔徑 /
- 綜合射頻系統(tǒng) /
- 多目標(biāo)優(yōu)化 /
- 粒子群算法 /
- 帕累托最優(yōu)
Abstract: In this work, considering a radar-communication integrated radio frequency system, a dynamic allocation method of shared aperture using relevant environmental information is proposed. Firstly, the shared aperture allocation task is formulated as a Multi-Objective Optimization (MOO) problem based on Pareto optimality, which uses the peak side-lobe level of radar array pattern and the channel capacity of Multiple Input Multiple Output (MIMO) communication system as its objective function. Then, an improved particle swarm optimization algorithm based on integer encoding is proposed to solve the MOO problem. The iterative algorithm can find out a set of optimal solutions in the form of Pareto front, one of which can be chosen by decision makers as the most satisfactory solution according to mission requirements. Finally, the simulation results verify the effectiveness of the proposed method.
- Shared aperture /
- Integrated radio frequency system /
- Multi-objective optimization /
- Particle swarm optimization /
- Pareto optimality

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參考文獻(xiàn)(29)

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