Waveform agile MIMO radar fast waveform design based on random arrangement of pulse slices

IF 3.4 2区工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC

Signal Processing Pub Date : 2024-11-18 DOI:10.1016/j.sigpro.2024.109784

Ben Niu, Yongbo Zhao, Derui Tang

引用次数: 0

Abstract

This paper introduces a novel waveform agile MIMO radar waveform design method based on random arrangement of pulse slices (RAPS), enhancing the conventional Frequency diversity LFM (FD-LFM) transmit beampattern synthesis. We conduct a pioneering analysis of the auto-correlation function characteristics of the existing FD-LFM, revealing theoretical insights into its low range resolution and associated factors. The proposed method significantly enhances range resolution and effectively minimizes range sidelobes by combining RAPS and waveform agility between pulses. The efficacy of this approach is corroborated through comprehensive simulation experiments.

查看原文本刊更多论文

基于脉冲片随机排列的波形敏捷 MIMO 雷达快速波形设计

本文介绍了一种基于脉冲片随机排列（RAPS）的新型波形敏捷 MIMO 雷达波形设计方法，该方法增强了传统的频率分集低频调制（FD-LFM）发射波形合成。我们对现有 FD-LFM 的自相关函数特性进行了开创性分析，从理论上揭示了它的低测距分辨率和相关因素。所提出的方法通过结合 RAPS 和脉冲间的波形灵活性，大大提高了测距分辨率，并有效地减少了测距侧晃。综合模拟实验证实了这一方法的有效性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Signal Processing 工程技术-工程：电子与电气

CiteScore

9.20

自引率

9.10%

发文量

309

审稿时长

41 days

期刊介绍： Signal Processing incorporates all aspects of the theory and practice of signal processing. It features original research work, tutorial and review articles, and accounts of practical developments. It is intended for a rapid dissemination of knowledge and experience to engineers and scientists working in the research, development or practical application of signal processing. Subject areas covered by the journal include: Signal Theory; Stochastic Processes; Detection and Estimation; Spectral Analysis; Filtering; Signal Processing Systems; Software Developments; Image Processing; Pattern Recognition; Optical Signal Processing; Digital Signal Processing; Multi-dimensional Signal Processing; Communication Signal Processing; Biomedical Signal Processing; Geophysical and Astrophysical Signal Processing; Earth Resources Signal Processing; Acoustic and Vibration Signal Processing; Data Processing; Remote Sensing; Signal Processing Technology; Radar Signal Processing; Sonar Signal Processing; Industrial Applications; New Applications.