.png){kind=icon}
返回
Minimum PSL Sequence Set Design for MIMO Radars via Manifold-Based Optimization
.png){kind=icon}
PRE
AI
DOI：10.1109/JSEN.2024.3398780.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
In this article, we consider the problem of waveform design for multiple-input multiple-output (MIMO) radars via a peak sidelobe level (PSL) minimization approach. We derive the optimization problem as the PSL and weighted PSL (WPSL) minimization problem. To solve the optimization problem, we consider a suitable product manifold within the unimodular sequence space and develop numerical manifold-based algorithms such as Riemannian gradient descent (RGD), limited memory Riemannian Broyden, Fletcher, Goldfarb, and Shanno (LRBFGS), and Riemannian trust region (RTR) on this manifold. We investigate the performance of the proposed algorithms based on the achieved PSL and WPSL values and the convergence speed. Numerical results show that the proposed algorithms converge faster than other state-of-the-art counterparts and the sequences produced by the proposed algorithms achieve lower (weighted) PSLs.
Keyword:
Manifold-based algorithms
multiple-input multiple-output (MIMO) radar
peak sidelobe level (PSL)
Riemannian manifold
signal design
期刊
IF:
4.5
论文数:
2.2W
被引数:
7.3W
机构
引用论文
Reinstatement of the Afro-Malagasy Genus Coptosperma (Rubiaceae, Ixoroideae, Pavetteae)恢复Afro-Malagasy属Coptosperma（茜草科，Ixoroideae亚科，Pavetteae族）的地位
PREAI
分享收藏The Stress Analysis and Residual Stress Evaluation of Pressure Armour Layers in Flexible Pipes Using 3D Finite Element Models柔性管道压力铠装层的应力分析与残余应力评估：采用三维有限元模型
PREAI
分享收藏
Fine structure and convergent development of the Cirolana compound eye (Crustacea Isopoda)复眼(Cirolana)的精细结构和趋同发育 (Crustacea Isopoda)
PREAI
分享收藏Generalized Waveform Design for Sidelobe Reduction in MIMO Radar SystemsMIMO雷达系统中降低旁瓣的广义波形设计.png)
SIGNAL PROCESSING
OAAI
SIGNAL PROCESSINGIF3.6
OAAI分享收藏Advanced technology of high-resolution radar: target detection, tracking, imaging, and recognition
PREAI
分享收藏分享收藏
查看更多内容