Power and Waveform Resource Allocation Method of LPI Netted Radar for Target Search and Tracking

IF 1.5 4区 管理学 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Iet Radar Sonar and Navigation Pub Date : 2025-04-19 DOI:10.1049/rsn2.70022
Longhao Xie, Wenxing Ren, Ziyang Cheng, Ming Li, Huiyong Li
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Abstract

A joint power and waveform resource allocation algorithm is proposed for netted radar integrated search and tracking tasks with low probability of intercept. For the search and tracking performance, the detection probability and the posterior Cramér-Rao lower bound of the target are adopted separately. The optimization problem of joint resource allocation is solved by controlling the radar node selection, power allocation, waveform selection, and pulse duration, to minimise the total power of the netted radar while meeting the search and tracking performance for a given target. The intelligent optimization methods are used to solve the problem, and the effectiveness of the proposed method is verified by simulation.

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LPI网雷达目标搜索与跟踪功率与波形资源分配方法
针对拦截概率较低的网状雷达综合搜索和跟踪任务,提出了一种联合功率和波形资源分配算法。对于搜索和跟踪性能,分别采用目标的探测概率和后验 Cramér-Rao 下限。通过控制雷达节点选择、功率分配、波形选择和脉冲持续时间,解决联合资源分配的优化问题,在满足给定目标搜索和跟踪性能的同时,使网状雷达的总功率最小。采用智能优化方法解决该问题,并通过仿真验证了所提方法的有效性。
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来源期刊
Iet Radar Sonar and Navigation
Iet Radar Sonar and Navigation 工程技术-电信学
CiteScore
4.10
自引率
11.80%
发文量
137
审稿时长
3.4 months
期刊介绍: IET Radar, Sonar & Navigation covers the theory and practice of systems and signals for radar, sonar, radiolocation, navigation, and surveillance purposes, in aerospace and terrestrial applications. Examples include advances in waveform design, clutter and detection, electronic warfare, adaptive array and superresolution methods, tracking algorithms, synthetic aperture, and target recognition techniques.
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