基于改进樽海鞘算法的MIMO雷达正交波形设计  

Orthogonal Waveform Design for MIMO Radar Based on Improved Salp Swarm Algorithm

作　　者：赵子杭 高振斌 韩壮志 李琦 Zhao Zihang;Gao Zhenbin;Han Zhuangzhi;Li Qi(School of Electronic and Information Engineering,Hebei University of Technology,Tianjin 300401,China;Department of Electronic and Optical Engineering,Shijiazhuang Campus,Army Engineering University,Shijiazhuang 050003,Hebei,China)

机构地区：[1]河北工业大学电子信息工程学院,天津300401 [2]陆军工程大学石家庄校区电子与光学工程系,河北石家庄050003

出　　处：《激光与光电子学进展》2022年第13期213-218,共6页Laser & Optoelectronics Progress

基　　金：河北省自然科学基金(F2019506037)。

摘　　要：针对多输入多输出(MIMO)雷达相位编码正交波形的优化设计问题,提出一种改进樽海鞘优化算法。该算法引入Logistic-Tent混沌映射进行种群的初始化,以更大概率获得最优初始解位置;并改进领导者更新方程,扩大最优解搜寻范围;利用正弦函数设计权重并根据代价函数值灵活调整追随者更新的位置,使收敛精度更加细化。实验结果表明:经过改进樽海鞘算法设计的MIMO雷达相位编码波形,较原算法自相关旁瓣峰值和互相关峰值分别减小了2.6231 dB、1.2572 dB;与现有结果相比,具有较好的正交性能、较高的算法收敛精度。An optimization algorithm based on improved salp swarm is proposed to optimize the orthogonal phase-coded waveform of the multiple-input multiple-output(MIMO)radar.The Logistic-Tent chaotic map is introduced into this algorithm to initialize the population,thus increase the probability of obtaining the optimal initial solution position.Then,the leader update equation is improved to expand the range of the optimal solution search.The sine function is applied for weight design,and the followers’updated positions are flexibly adjusted according to the cost function value to further refine the convergence accuracy.The experimental results show that the auto-correlation sidelobe peak and cross-correlation peak of the phase-coded waveform of the MIMO radar designed based on the improved salp swarm algorithm are reduced by 2.6231 dB and 1.2572 dB,respectively,compared with those of the original algorithm.The orthogonal performance and the convergence accuracy of the algorithm reported here are better than those of the existing results.

关 键 词：信号处理 正交波形 樽海鞘算法 相位编码 相关性 

分 类 号：TN95[电子电信—信号与信息处理]