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
Este artigo tem como objetivo projetar pesos de recepção de radar de múltiplas entradas e saídas múltiplas (MIMO) e transmitir formas de onda, a fim de obter melhor desempenho de filtragem espacial e aumentar a robustez no caso de interferência dependente de sinal e ângulos estimados de alvo e interferência conjuntamente imprecisos. . Geralmente, um algoritmo de otimização iterativo alternativo é proposto para o problema de projeto conjunto. Especificamente, os pesos de recepção são projetados pela decomposição generalizada de autovalores da matriz que contém as informações estimadas do alvo e da interferência. Como a função de custo do projeto da forma de onda de transmissão é fracionária, o problema de otimização fracionária é primeiro convertido em um problema de otimização secundário. Com base no algoritmo proposto, uma solução fechada da forma de onda é dada usando a projeção alternada. Na fase de análise, na presença de erros estimados no ambiente de interferência dependente de sinal, um desempenho robusto de relação sinal-interferência e ruído (SINR) é obtido usando uma pequena quantidade de cálculo com um procedimento iterativo. Exemplos numéricos verificam a eficácia do desempenho da forma de onda projetada em termos de SINR, padrão de feixe e compressão de pulso.
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},}
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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 -