FSR velocity estimation using spectrogram

A. De Luca; M. Contu; S. Hristov; L. Daniel; M. Gashinova; M. Cherniakov

doi:10.1109/IRS.2016.7497338

FSR velocity estimation using spectrogram

A. De Luca, M. Contu, S. Hristov, L. Daniel, M. Gashinova, M. Cherniakov

Electronic, Electrical and Systems Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

20 Citations (Scopus)

Abstract

This paper focuses on the estimation of target motion parameters in forward scatter radar. A new method based on the use of the Doppler signature spectrogram has been investigated. This allows a rough estimation of target motion parameters even in the presence of significant clutter, when the Doppler signature cannot be used to extract accurate kinematic information. The spectrogram characteristics change depending on target's speed, crossing angle and crossing point, this will be shown in order to explain how it is possible to estimate kinematic information analyzing the spectrogram trend. The performance of this new method is analyzed at the initial stage of the research.

Original language	English
Title of host publication	2016 17th International Radar Symposium, IRS 2016
Publisher	IEEE Computer Society
Volume	2016-June
ISBN (Electronic)	9781509025183
DOIs	https://doi.org/10.1109/IRS.2016.7497338
Publication status	Published - 21 Jun 2016
Event	17th International Radar Symposium, IRS 2016 - Krakow, Poland Duration: 10 May 2016 → 12 May 2016

Conference

Conference	17th International Radar Symposium, IRS 2016
Country/Territory	Poland
City	Krakow
Period	10/05/16 → 12/05/16

Keywords

Forward scatter radar
Spectrogram
Velocity

ASJC Scopus subject areas

Computer Networks and Communications
Computer Science Applications
Signal Processing
Electrical and Electronic Engineering
Astronomy and Astrophysics
Instrumentation

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10.1109/IRS.2016.7497338Licence: None: All rights reserved

Cite this

@inproceedings{dccdcfbf8b4c4b02bf63f6233be2d9ab,

title = "FSR velocity estimation using spectrogram",

abstract = "This paper focuses on the estimation of target motion parameters in forward scatter radar. A new method based on the use of the Doppler signature spectrogram has been investigated. This allows a rough estimation of target motion parameters even in the presence of significant clutter, when the Doppler signature cannot be used to extract accurate kinematic information. The spectrogram characteristics change depending on target's speed, crossing angle and crossing point, this will be shown in order to explain how it is possible to estimate kinematic information analyzing the spectrogram trend. The performance of this new method is analyzed at the initial stage of the research.",

keywords = "Forward scatter radar, Spectrogram, Velocity",

author = "{De Luca}, A. and M. Contu and S. Hristov and L. Daniel and M. Gashinova and M. Cherniakov",

year = "2016",

month = jun,

day = "21",

doi = "10.1109/IRS.2016.7497338",

language = "English",

volume = "2016-June",

booktitle = "2016 17th International Radar Symposium, IRS 2016",

publisher = "IEEE Computer Society",

address = "United States",

note = "17th International Radar Symposium, IRS 2016 ; Conference date: 10-05-2016 Through 12-05-2016",

}

TY - GEN

T1 - FSR velocity estimation using spectrogram

AU - De Luca, A.

AU - Contu, M.

AU - Hristov, S.

AU - Daniel, L.

AU - Gashinova, M.

AU - Cherniakov, M.

PY - 2016/6/21

Y1 - 2016/6/21

N2 - This paper focuses on the estimation of target motion parameters in forward scatter radar. A new method based on the use of the Doppler signature spectrogram has been investigated. This allows a rough estimation of target motion parameters even in the presence of significant clutter, when the Doppler signature cannot be used to extract accurate kinematic information. The spectrogram characteristics change depending on target's speed, crossing angle and crossing point, this will be shown in order to explain how it is possible to estimate kinematic information analyzing the spectrogram trend. The performance of this new method is analyzed at the initial stage of the research.

AB - This paper focuses on the estimation of target motion parameters in forward scatter radar. A new method based on the use of the Doppler signature spectrogram has been investigated. This allows a rough estimation of target motion parameters even in the presence of significant clutter, when the Doppler signature cannot be used to extract accurate kinematic information. The spectrogram characteristics change depending on target's speed, crossing angle and crossing point, this will be shown in order to explain how it is possible to estimate kinematic information analyzing the spectrogram trend. The performance of this new method is analyzed at the initial stage of the research.

KW - Forward scatter radar

KW - Spectrogram

KW - Velocity

UR - http://www.scopus.com/inward/record.url?scp=84982860368&partnerID=8YFLogxK

U2 - 10.1109/IRS.2016.7497338

DO - 10.1109/IRS.2016.7497338

M3 - Conference contribution

AN - SCOPUS:84982860368

VL - 2016-June

BT - 2016 17th International Radar Symposium, IRS 2016

PB - IEEE Computer Society

T2 - 17th International Radar Symposium, IRS 2016

Y2 - 10 May 2016 through 12 May 2016

ER -

FSR velocity estimation using spectrogram

Abstract

Conference

Keywords

ASJC Scopus subject areas

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Cite this