Evidence map›Paper›PMID 33081275›Full record

ArticleSensors (Basel, Switzerland)2020

An Elaborated Signal Model for Simultaneous Range and Vector Velocity Estimation in FMCW Radar.

Sergei Ivanov, Vladimir Kuptsov, Vladimir Badenko, Alexander Fedotov

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. An Efficient CS-Based Spectral Peak Search Method.Sensors (Basel, Switzerland) · 2022
    Article
  2. Article
  3. 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.

Sergei IvanovInstitute of Physics, Nanotechnology and Telecommunications, Peter the Great St.Petersburg Polytechnic University, 29 Polytechnicheskaya str., Saint Petersburg 195251, Russia.
Vladimir KuptsovInstitute of Physics, Nanotechnology and Telecommunications, Peter the Great St.Petersburg Polytechnic University, 29 Polytechnicheskaya str., Saint Petersburg 195251, Russia.
Vladimir BadenkoInstitute of Physics, Nanotechnology and Telecommunications, Peter the Great St.Petersburg Polytechnic University, 29 Polytechnicheskaya str., Saint Petersburg 195251, Russia.
Alexander FedotovInstitute of Physics, Nanotechnology and Telecommunications, Peter the Great St.Petersburg Polytechnic University, 29 Polytechnicheskaya str., Saint Petersburg 195251, Russia.

Funding

Russian Foundation for Basic Research 19-29-06034
6 · The paper itself

Abstract

A rigorous mathematical description of the signal reflected from a moving object for radar monitoring tasks using linear frequency modulated continuous wave (LFMCW) microwave radars is proposed. The mathematical model is based on the quasi-relativistic vector transformation of coordinates and Lorentz time. The spatio-temporal structure of the echo signal was obtained taking into account the transverse component of the radar target speed, which made it possible to expand the boundaries of the range of measuring the range and speed of vehicles using LFMCW radars. An algorithm for the simultaneous estimation of the range, radial and transverse components of the velocity vector of an object from the observation data of the time series during one frame of the probing signal is proposed. For an automobile 77 GHz microwave LFMCW radar, a computer experiment was carried out to measure the range and velocity vector of a radar target using the developed mathematical model of the echo signal and an algorithm for estimating the motion parameters. The boundaries of the range for measuring the range and speed of the target are determined. The results of the performed computer experiment are in good agreement with the results of theoretical analysis.

Indexed as

automotive LFMCW radarDoppler-frequency estimationlateral velocityradial velocitysignal modelwaveform

Identifiers

PMID33081275
PMCPMC7589796

What OpenQuestion holds

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Registered trials

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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.