现代雷达2012，Vol.34Issue(3)：18-21,4.
基于凸优化方法的认知雷达波形设计
Radar Phase-coded Waveform Design for Extended Target Detection by Convex Optimization
摘要
Abstract
In this paper, an efficient algorithm to solve the problem of radar phase-coded waveform design for extended target detection in cognitive radar is proposed. By using the semidefinite relaxation (SDR) technique, the non-convex signal-to-noise ratio (SNR) optimization problem is relaxed to a convex optimization problem. The approximate solution is acquired by solving the relaxed problem, and a one dimensional alternating maximization algorithm is applied to approach the optimal solution. The proposed algorithm is attractive in computational complexity, and can achieve accurate approximation. Simulation results show that the ability of finding the global optimal solution is greatly enhanced by the proposed algorithm compared to other techniques.关键词
认知雷达/扩展目标检测/相位编码信号/凸优化方法Key words
cognitive radar/ extended target detection/ phase-coded waveform/ convex optimization分类
信息技术与安全科学引用本文复制引用
魏轶旻,孟华东,毛滔,王希勤..基于凸优化方法的认知雷达波形设计[J].现代雷达,2012,34(3):18-21,4.基金项目
国家自然科学基金资助课题(60901057) （60901057）
