Adaptive calibration in UWB radar

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Standard

Adaptive calibration in UWB radar. / Gashinova, M.; Djigan, V.; Daniel, L. Y.; Cherniakov, M.

2008 IEEE Radar Conference, RADAR 2008. 2008. 4720913.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Harvard

Gashinova, M, Djigan, V, Daniel, LY & Cherniakov, M 2008, Adaptive calibration in UWB radar. in 2008 IEEE Radar Conference, RADAR 2008., 4720913, 2008 IEEE Radar Conference, RADAR 2008, Rome, United Kingdom, 26/05/08. https://doi.org/10.1109/RADAR.2008.4720913

APA

Vancouver

Author

Gashinova, M. ; Djigan, V. ; Daniel, L. Y. ; Cherniakov, M. / Adaptive calibration in UWB radar. 2008 IEEE Radar Conference, RADAR 2008. 2008.

Bibtex

@inproceedings{25d98b78c5f54304ba38d9d76888912c,
title = "Adaptive calibration in UWB radar",
abstract = "The progress of the Late Time Response (LTR) method applied to the detection and identification of body-worn hidden weapons has been discussed in [1] and [2]. Efficiency of the target signature extraction and its correct interpretation depend on the system subcomponent characteristics as well as the processing algorithms used. Peculiarities in Frequency Domain (FD) measurements based on a stepped frequency radar technique introduce an ambiguity in the received signal interpretation. In this paper the real Time Domain (TD) experimentation system and new instant signal calibration procedure are described. Measurements were made in an anechoic chamber to provide complete signal control. Signal processing is based on adaptive filtering algorithms to provide equalization by a reference channel in order to remove any Radio Frequency (RF) system distortion of the received signal. A generalized Matrix Pencil-of-Function (MPoF) approach is then applied to retrieve the parameters of LTR.",
keywords = "Adaptive equalization, Late time response, Target identification",
author = "M. Gashinova and V. Djigan and Daniel, {L. Y.} and M. Cherniakov",
year = "2008",
month = dec,
day = "1",
doi = "10.1109/RADAR.2008.4720913",
language = "English",
isbn = "9781424415397",
booktitle = "2008 IEEE Radar Conference, RADAR 2008",
note = "2008 IEEE Radar Conference, RADAR 2008 ; Conference date: 26-05-2008 Through 30-05-2008",

}

RIS

TY - GEN

T1 - Adaptive calibration in UWB radar

AU - Gashinova, M.

AU - Djigan, V.

AU - Daniel, L. Y.

AU - Cherniakov, M.

PY - 2008/12/1

Y1 - 2008/12/1

N2 - The progress of the Late Time Response (LTR) method applied to the detection and identification of body-worn hidden weapons has been discussed in [1] and [2]. Efficiency of the target signature extraction and its correct interpretation depend on the system subcomponent characteristics as well as the processing algorithms used. Peculiarities in Frequency Domain (FD) measurements based on a stepped frequency radar technique introduce an ambiguity in the received signal interpretation. In this paper the real Time Domain (TD) experimentation system and new instant signal calibration procedure are described. Measurements were made in an anechoic chamber to provide complete signal control. Signal processing is based on adaptive filtering algorithms to provide equalization by a reference channel in order to remove any Radio Frequency (RF) system distortion of the received signal. A generalized Matrix Pencil-of-Function (MPoF) approach is then applied to retrieve the parameters of LTR.

AB - The progress of the Late Time Response (LTR) method applied to the detection and identification of body-worn hidden weapons has been discussed in [1] and [2]. Efficiency of the target signature extraction and its correct interpretation depend on the system subcomponent characteristics as well as the processing algorithms used. Peculiarities in Frequency Domain (FD) measurements based on a stepped frequency radar technique introduce an ambiguity in the received signal interpretation. In this paper the real Time Domain (TD) experimentation system and new instant signal calibration procedure are described. Measurements were made in an anechoic chamber to provide complete signal control. Signal processing is based on adaptive filtering algorithms to provide equalization by a reference channel in order to remove any Radio Frequency (RF) system distortion of the received signal. A generalized Matrix Pencil-of-Function (MPoF) approach is then applied to retrieve the parameters of LTR.

KW - Adaptive equalization

KW - Late time response

KW - Target identification

UR - http://www.scopus.com/inward/record.url?scp=61849148350&partnerID=8YFLogxK

U2 - 10.1109/RADAR.2008.4720913

DO - 10.1109/RADAR.2008.4720913

M3 - Conference contribution

AN - SCOPUS:61849148350

SN - 9781424415397

BT - 2008 IEEE Radar Conference, RADAR 2008

T2 - 2008 IEEE Radar Conference, RADAR 2008

Y2 - 26 May 2008 through 30 May 2008

ER -