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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.

- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E105-A No.9 pp.1330-1339

- Publication Date
- 2022/09/01

- Publicized
- 2022/03/14

- Online ISSN
- 1745-1337

- DOI
- 10.1587/transfun.2021EAP1111

- Type of Manuscript
- PAPER

- Category
- Communication Theory and Signals

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

The copyright of the original papers published on this site belongs to IEICE. Unauthorized use of the original or translated papers is prohibited. See IEICE Provisions on Copyright for details.

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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 -