停留时间
相控阵
稳健性(进化)
计算机科学
跟踪(教育)
雷达
雷达跟踪器
凸优化
相位噪声
低截获概率雷达
相(物质)
实时计算
噪音(视频)
算法
控制理论(社会学)
电子工程
数学优化
上下界
贝叶斯优化
时滞与积分
最优化问题
贝叶斯概率
概率逻辑
雷达工程细节
跟踪系统
正多边形
杂乱
工程类
信噪比(成像)
雷达系统
时频分析
作者
Tianxing Zhang,Zifang Bai,Yi Yuan,Wei Yi
出处
期刊:
[Institution of Engineering and Technology]
日期:2026-07-01
卷期号:2025 (52): 3428-3433
标识
DOI:10.1049/icp.2026.1314
摘要
Conventional dwell time allocation strategies for phased array radars often rely on an idealized signal-to-noise ratio (SNR) model, that fails to account for coherent integration loss, leading to mismatched decisions in practical environments. To address this issue, we propose a robust dwell time allocation strategy that integrates an effective SNR model incorporating the effects of oscillator phase noise into a Bayesian Cramér-Rao Lower Bound (BCRLB)-constrained optimization framework. The resulting problem is solved via a decomposition method that yields an efficiently solvable, convex sub-problem for dwell time allocation. This approach ensures both tracking accuracy and computational efficiency. Simulations confirm that the proposed strategy outperforms the conventional approach, with a performance robustness that becomes more pronounced as phase noise increases.
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