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

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.

Authors

Institutions

Publication Details

Journal
IET Radar Sonar & Navigation
Published
2025-01-01
DOI
https://doi.org/10.1049/rsn2.70022
Citations
2
Primary Topic
Radar Systems and Signal Processing
Type
article
Field-Weighted Citation Impact
9.99

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Ziyang Cheng, Longhao Xie, Ming Li, Huiyong Li et al.
2 citations
IET Radar Sonar & Navigation
Radar Systems and Signal Processing
9.99
article

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

Ziyang Cheng, Longhao Xie, Ming Li, Huiyong Li, Wenxing Ren
article en
2 citations

Abstract

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.

IET Radar Sonar & NavigationVol. 19(1)
University of Electronic Science and Technology of China (CN), Quzhou University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 3%
Radar Systems and Signal Processing
9.99
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.