Evidence map›Paper›PMID 35746317›Full record

ArticleSensors (Basel, Switzerland)2022

A New Side-Looking Scheme for Speed Estimation and Detection of Tangential Slow-Moving Targets.

Ziyi Qi, Xiaohong Huang, Lanpu He

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Ziyi QiCollege of artificial intelligence, North China University of Science and Technology, Tangshan 063210, China.ORCID 0000-0001-6579-5631
Xiaohong HuangCollege of artificial intelligence, North China University of Science and Technology, Tangshan 063210, China.
Lanpu HeCollege of artificial intelligence, North China University of Science and Technology, Tangshan 063210, China.ORCID 0000-0002-3294-6111

Funding

Funding Platform and Promotion Project of Technology Transfer fund in North China University of Science and Technology TG2018004Key Research Project of Science and Technology in Higher Education Institutions of Hebei Province ZD2020152Science and Technology Basic Research Project in Hebei Education committee JQN2019006
6 · The paper itself

Abstract

A single-beam radar system cannot adopt a side-looking installation scheme, which is completely perpendicular to the moving direction of the target in an intelligent transportation system (ITS), because of its own limitations. In this paper, a side-looking radar velocity measurement system that utilizes a new signal processing method and multi-channel radar scheme is proposed. Constant false alarm rate (CFAR) and generalized likelihood ratio test (GLRT) detectors are used to detect the data processing results in different stages in order to reduce the false alarm rate of targets. At the same time, a deconvolution-based clutter map algorithm is proposed to solve the problem of clutter interference in the test environment, and its theoretical performance is verified by simulation. Finally, 77 G commercial radar is used to test the system, and the results show that this algorithm can effectively detect and accurately estimate the speed of tangential low-speed targets under clutter interference.

Indexed as

RadarSignal Processing, Computer-AssistedAlgorithmsComputer Simulationchannel probingfrequency-modulated continuous wave (FMCW)intelligent transportation system (ITS)measurementtarget detection

Identifiers

PMID35746317
PMCPMC9230567

What OpenQuestion holds

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Registered trials

None linked

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.