The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Kertas ini mempertimbangkan pengesanan pemancar bukan koperasi berdasarkan penderia tunggal. Untuk tujuan ini, pendekatan analisis gerakan sasaran langsung (DTMA), di mana keadaan sasaran dicapai secara terus daripada isyarat yang diterima, dieksploitasi. Untuk mencapai pemerhatian, penderia perlu melakukan manuver berbanding pemancar. Dengan membina fungsi kebarangkalian anggaran yang sesuai, penapis Kalman (UKF) yang tidak wangi, yang mampu berfungsi di bawah ketaklinieran tinggi model pengukuran, diguna pakai untuk menganggarkan keadaan sasaran secara rekursif. Selain itu, posterior Cramér-Rao bound (PCRB) DTMA, yang boleh digunakan sebagai penanda aras prestasi, juga dicapai. Keberkesanan kaedah yang dicadangkan disahkan melalui eksperimen simulasi.
Yiqi CHEN
University of Electronic Science and Technology of China
Ping WEI
University of Electronic Science and Technology of China
Gaiyou LI
University of Electronic Science and Technology of China
Huaguo ZHANG
University of Electronic Science and Technology of China
Hongshu LIAO
University of Electronic Science and Technology of China
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Salinan
Yiqi CHEN, Ping WEI, Gaiyou LI, Huaguo ZHANG, Hongshu LIAO, "Emitter Tracking via Direct Target Motion Analysis" in IEICE TRANSACTIONS on Fundamentals,
vol. E105-A, no. 12, pp. 1522-1536, December 2022, doi: 10.1587/transfun.2021EAP1155.
Abstract: This paper considers tracking of a non-cooperative emitter based on a single sensor. To this end, the direct target motion analysis (DTMA) approach, where the target state is straightforwardly achieved from the received signal, is exploited. In order to achieve observability, the sensor has to perform a maneuver relative to the emitter. By suitably building an approximated likelihood function, the unscented Kalman filter (UKF), which is able to work under high nonlinearity of the measurement model, is adopted to recursively estimate the target state. Besides, the posterior Cramér-Rao bound (PCRB) of DTMA, which can be used as performance benchmark, is also achieved. The effectiveness of proposed method is verified via simulation experiments.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.2021EAP1155/_p
Salinan
@ARTICLE{e105-a_12_1522,
author={Yiqi CHEN, Ping WEI, Gaiyou LI, Huaguo ZHANG, Hongshu LIAO, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Emitter Tracking via Direct Target Motion Analysis},
year={2022},
volume={E105-A},
number={12},
pages={1522-1536},
abstract={This paper considers tracking of a non-cooperative emitter based on a single sensor. To this end, the direct target motion analysis (DTMA) approach, where the target state is straightforwardly achieved from the received signal, is exploited. In order to achieve observability, the sensor has to perform a maneuver relative to the emitter. By suitably building an approximated likelihood function, the unscented Kalman filter (UKF), which is able to work under high nonlinearity of the measurement model, is adopted to recursively estimate the target state. Besides, the posterior Cramér-Rao bound (PCRB) of DTMA, which can be used as performance benchmark, is also achieved. The effectiveness of proposed method is verified via simulation experiments.},
keywords={},
doi={10.1587/transfun.2021EAP1155},
ISSN={1745-1337},
month={December},}
Salinan
TY - JOUR
TI - Emitter Tracking via Direct Target Motion Analysis
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1522
EP - 1536
AU - Yiqi CHEN
AU - Ping WEI
AU - Gaiyou LI
AU - Huaguo ZHANG
AU - Hongshu LIAO
PY - 2022
DO - 10.1587/transfun.2021EAP1155
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E105-A
IS - 12
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - December 2022
AB - This paper considers tracking of a non-cooperative emitter based on a single sensor. To this end, the direct target motion analysis (DTMA) approach, where the target state is straightforwardly achieved from the received signal, is exploited. In order to achieve observability, the sensor has to perform a maneuver relative to the emitter. By suitably building an approximated likelihood function, the unscented Kalman filter (UKF), which is able to work under high nonlinearity of the measurement model, is adopted to recursively estimate the target state. Besides, the posterior Cramér-Rao bound (PCRB) of DTMA, which can be used as performance benchmark, is also achieved. The effectiveness of proposed method is verified via simulation experiments.
ER -