基于改进粒子群算法的Staggered SAR非均匀PRI序列设计*

doi:10.7523/j.ucas.2026.026

中国科学院大学学报

基于改进粒子群算法的Staggered SAR非均匀PRI序列设计^*

杨瓒^1,2, 肖灯军^1†, 赵鹏飞¹

1 中国科学院空天信息创新研究院,北京 100190;
2 中国科学院大学电子电气与通信工程学院,北京 100049

收稿日期:2026-02-09 修回日期:2026-04-23 发布日期:2026-04-23
通讯作者: †E-mail: xiaodj@aircas.ac.cn
基金资助:
*国家重点研发项目(2023YFB2904901)资助

Design of Staggered SAR non-uniform PRI sequence based on improved particle swarm algorithm

YANG Zan^1,2, XIAO Dengjun¹, ZHAO Pengfei¹

1 Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, China;
2 School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China

Received:2026-02-09 Revised:2026-04-23 Published:2026-04-23

摘要/Abstract

摘要： Staggered SAR通过非均匀脉冲重复间隔（PRI）序列有效缓解距离模糊与多普勒混叠,提升成像性能,但现有PRI序列设计在盲区分布的均匀性优化方面仍存在不足,易导致盲区聚集,影响成像完整性。针对该问题,本文提出一种基于GPU加速的改进离散粒子群优化算法（DAPSO）。首先,构建兼顾星载系统硬件时序量化特性与序列平滑性约束的离散化PRI模型;进而引入GPU并行计算架构,加速多模式盲区评估过程,显著提升优化效率。以最小化盲区聚集度、提升空间分布均匀性为优化目标,DAPSO算法可高效搜索得到低盲区率且盲区高度离散的最优序列。仿真结果表明,与传统线性步进及无约束随机序列相比,所提方法在盲区分布均匀性与数据连续性方面表现更优,显著降低数据丢失率,有效增强杂波背景下弱小目标的检测能力,提升SAR系统整体成像质量。

关键词: Staggered SAR, PRI序列设计, 粒子群优化, 盲区抑制, 非均匀采样

Abstract: Staggered SAR technology improves imaging performance by employing non-uniform pulse repetition interval (PRI) sequences. However, existing sequence designs are insufficient in optimizing the uniformity of blind-zone distribution. To address this, this paper proposes an improved discrete particle swarm optimization (DAPSO) algorithm accelerated by GPU. First, a discrete model conforming to the hardware timing quantization and smoothness constraints of spaceborne systems is established, and the blind-zone evaluation is accelerated using a GPU parallel architecture. Then, with the core objectives of minimizing blind-zone clustering and maximizing distribution uniformity, the algorithm is guided to search for generate PRI sequences with low blind-zone ratios and highly dispersed blind-zone distributions. Simulations demonstrate that, compared with conventional linear and unconstrained random sequences, the proposed sequence achieves more uniform blind-zone distribution and lower data loss rates, thereby significantly enhancing scene integrity and the detection capability of weak targets in strong clutter backgrounds.

Key words: Staggered SAR, PRI sequence design, particle swarm optimization, blind-zone suppression, non-uniform sampling

中图分类号:

TN958

杨瓒, 肖灯军, 赵鹏飞. 基于改进粒子群算法的Staggered SAR非均匀PRI序列设计^*[J]. 中国科学院大学学报, DOI: 10.7523/j.ucas.2026.026.

YANG Zan, XIAO Dengjun, ZHAO Pengfei. Design of Staggered SAR non-uniform PRI sequence based on improved particle swarm algorithm[J]. Journal of University of Chinese Academy of Sciences, DOI: 10.7523/j.ucas.2026.026.

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基于改进粒子群算法的Staggered SAR非均匀PRI序列设计^*

Design of Staggered SAR non-uniform PRI sequence based on improved particle swarm algorithm

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