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".
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The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Cet article vise à concevoir des poids de réception et des formes d'onde de transmission de radars à entrées multiples et sorties multiples (MIMO), afin d'obtenir de meilleures performances de filtrage spatial et d'améliorer la robustesse dans le cas d'interférences dépendantes du signal et d'angles de cible et d'interférence estimés conjointement inexacts. . Généralement, un algorithme d’optimisation itératif alternatif est proposé pour le problème de conception conjointe. Plus précisément, les poids de réception sont conçus par la décomposition généralisée des valeurs propres de la matrice qui contient les informations estimées sur la cible et l'interférence. Comme la fonction de coût de la conception de la forme d'onde de transmission est fractionnaire, le problème d'optimisation fractionnaire est d'abord converti en un problème d'optimisation secondaire. Sur la base de l'algorithme proposé, une solution fermée de la forme d'onde est donnée en utilisant la projection alternée. Au stade de l'analyse, en présence d'erreurs estimées dans un environnement d'interférence dépendant du signal, une performance robuste en termes de rapport signal/interférence et bruit (SINR) est obtenue à l'aide d'une petite quantité de calcul avec une procédure itérative. Des exemples numériques vérifient l'efficacité des performances de la forme d'onde conçue en termes de SINR, de motif de faisceau et de compression d'impulsion.
Ningkang CHEN
University of Electronic Science and Technology of China
Ping WEI
University of Electronic Science and Technology of China
Lin GAO
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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Ningkang CHEN, Ping WEI, Lin GAO, Huaguo ZHANG, Hongshu LIAO, "Joint Design of Transmitting Waveform and Receiving Filter for Colocated MIMO Radar" in IEICE TRANSACTIONS on Fundamentals,
vol. E105-A, no. 9, pp. 1330-1339, September 2022, doi: 10.1587/transfun.2021EAP1111.
Abstract: This paper aims to design multiple-input multiple-output (MIMO) radar receiving weights and transmitting waveforms, in order to obtain better spatial filtering performance and enhance the robustness in the case of signal-dependent interference and jointly inaccurate estimated angles of target and interference. Generally, an alternate iterative optimization algorithm is proposed for the joint design problem. Specifically, the receiving weights are designed by the generalized eigenvalue decomposition of the matrix which contains the estimated information of the target and interference. As the cost function of the transmitting waveform design is fractional, the fractional optimization problem is first converted into a secondary optimization problem. Based on the proposed algorithm, a closed-form solution of the waveform is given using the alternating projection. At the analysis stage, in the presence of estimated errors under the environment of signal-dependent interference, a robust signal-to-interference and noise ratio (SINR) performance is obtained using a small amount of calculation with an iterative procedure. Numerical examples verify the effectiveness of the performances of the designed waveform in terms of the SINR, beampattern and pulse compression.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.2021EAP1111/_p
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@ARTICLE{e105-a_9_1330,
author={Ningkang CHEN, Ping WEI, Lin GAO, Huaguo ZHANG, Hongshu LIAO, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Joint Design of Transmitting Waveform and Receiving Filter for Colocated MIMO Radar},
year={2022},
volume={E105-A},
number={9},
pages={1330-1339},
abstract={This paper aims to design multiple-input multiple-output (MIMO) radar receiving weights and transmitting waveforms, in order to obtain better spatial filtering performance and enhance the robustness in the case of signal-dependent interference and jointly inaccurate estimated angles of target and interference. Generally, an alternate iterative optimization algorithm is proposed for the joint design problem. Specifically, the receiving weights are designed by the generalized eigenvalue decomposition of the matrix which contains the estimated information of the target and interference. As the cost function of the transmitting waveform design is fractional, the fractional optimization problem is first converted into a secondary optimization problem. Based on the proposed algorithm, a closed-form solution of the waveform is given using the alternating projection. At the analysis stage, in the presence of estimated errors under the environment of signal-dependent interference, a robust signal-to-interference and noise ratio (SINR) performance is obtained using a small amount of calculation with an iterative procedure. Numerical examples verify the effectiveness of the performances of the designed waveform in terms of the SINR, beampattern and pulse compression.},
keywords={},
doi={10.1587/transfun.2021EAP1111},
ISSN={1745-1337},
month={September},}
Copier
TY - JOUR
TI - Joint Design of Transmitting Waveform and Receiving Filter for Colocated MIMO Radar
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1330
EP - 1339
AU - Ningkang CHEN
AU - Ping WEI
AU - Lin GAO
AU - Huaguo ZHANG
AU - Hongshu LIAO
PY - 2022
DO - 10.1587/transfun.2021EAP1111
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E105-A
IS - 9
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - September 2022
AB - This paper aims to design multiple-input multiple-output (MIMO) radar receiving weights and transmitting waveforms, in order to obtain better spatial filtering performance and enhance the robustness in the case of signal-dependent interference and jointly inaccurate estimated angles of target and interference. Generally, an alternate iterative optimization algorithm is proposed for the joint design problem. Specifically, the receiving weights are designed by the generalized eigenvalue decomposition of the matrix which contains the estimated information of the target and interference. As the cost function of the transmitting waveform design is fractional, the fractional optimization problem is first converted into a secondary optimization problem. Based on the proposed algorithm, a closed-form solution of the waveform is given using the alternating projection. At the analysis stage, in the presence of estimated errors under the environment of signal-dependent interference, a robust signal-to-interference and noise ratio (SINR) performance is obtained using a small amount of calculation with an iterative procedure. Numerical examples verify the effectiveness of the performances of the designed waveform in terms of the SINR, beampattern and pulse compression.
ER -