Evidence map›Paper›PMID 41013099›Full record

ArticleSensors (Basel, Switzerland)2025

Receiver Location Optimization for Heterogeneous S-Band Marine Transmitters in Passive Multistatic Radar Networks via NSGA-II.

Xinpeng Li, Pengfei He, Jie Song, Zhongxun Wang

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Xinpeng LiSchool of Physics and Electronic Information, Yantai University, Yantai 264005, China.
Pengfei HeSchool of Physics and Electronic Information, Yantai University, Yantai 264005, China.ORCID 0000-0002-5727-7188
Jie SongResearch Institute of Information Fusion, Naval Aviation University, Yantai 264005, China.
Zhongxun WangSchool of Physics and Electronic Information, Yantai University, Yantai 264005, China.

Funding

National Natural Scicnce Foundation of China 61971433Shandong Province Science and Technology-based Small and Medium-sized Enterprises Innovation Ability Enhancement Project 2023TSGC0823Taishan Scholar Projeet oShandong Piovince tsqn202211247Yantai City 2023 School-Land Integration Development Project 2323013-2023XDRH001Yantai Science and Technology-based Small and Medium-sized Enterprises Innovation Ability Enhancement Project Programme 2023TSGC112
6 · The paper itself

Abstract

Comprehensive maritime domain awareness is crucial for navigation safety, traffic management, and security surveillance. In the context of an increasingly complex modern electromagnetic environment, the disadvantages of traditional active single-station radars, such as their high cost and susceptibility to interference, have started to surface. Due to their unique advantages, such as low cost, environmental sustainability (by reusing existing signals), and resilience in congested spectral environments, non-cooperative passive multistatic radar (PMR) systems have gained significant interest in maritime monitoring. This paper presents the research background of non-cooperative passive multistatic radar systems, performs a fundamental analysis of the detection performance of multistatic radar systems, and suggests an optimization method for the transceiver configuration of non-cooperative passive multistatic radar systems based on geometric coverage theory and a signal-to-noise ratio model. A multi-objective optimization model is developed, considering both detection coverage and positioning error, and is solved using the Non-dominated Sorting Genetic Algorithm II (NSGA-II). The optimization aims to find the optimal receiver location relative to a fixed configuration of four transmitters, representing common maritime traffic patterns. According to the simulation results, the multi-target genetic algorithm can be utilized to optimize the receiver position under the S-band radar settings used in this work. Compared to a random placement baseline, this can reduce the positioning error by about 8.9% and extend the detection range by about 15.8%. Furthermore, for the specific four-transmitter configuration and S-band radar parameters considered in this study, it is found that the best detection performance is more likely to be obtained when the receiver is placed within 15 km of the transmitters' geometric center.

Indexed as

detection performance analysismaritime monitoringnon-cooperative passive multistatic radarnondominated sorting genetic algorithm II (NSGA-II)

Identifiers

PMID41013099
PMCPMC12473637

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.