IEICE TRANSACTIONS on Communications
Robust MIMO Radar Waveform Design to Improve the Worst-Case Detection Performance of STAP
Summary :
The issue of robust multi-input multi-output (MIMO) radar waveform design is investigated in the presence of imperfect clutter prior knowledge to improve the worst-case detection performance of space-time adaptive processing (STAP). Robust design is needed because waveform design is often sensitive to uncertainties in the initial parameter estimates. Following the min-max approach, a robust waveform covariance matrix (WCM) design is formulated in this work with the criterion of maximization of the worst-case output signal-interference-noise-ratio (SINR) under the constraint of the initial parameter estimation errors to ease this sensitivity systematically and thus improve the robustness of the detection performance to the uncertainties in the initial parameter estimates. To tackle the resultant complicated and nonlinear robust waveform optimization issue, a new diagonal loading (DL) based iterative approach is developed, in which the inner and outer optimization problems can be relaxed to convex problems by using DL method, and hence both of them can be solved very effectively. As compared to the non-robust method and uncorrelated waveforms, numerical simulations show that the proposed method can improve the robustness of the detection performance of STAP.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E101-B No.5 pp.1175-1182
- Publication Date
- 2018/05/01
- Publicized
- 2017/11/20
- Online ISSN
- 1745-1345
- DOI
- 10.1587/transcom.2017EBP3092
- Type of Manuscript
- PAPER
- Category
- Fundamental Theories for Communications
Authors
Hongyan WANG
Dalian University
Quan CHENG
Zhoukou Normal University
Bingnan PEI
Dalian University
Keyword
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Hongyan WANG, Quan CHENG, Bingnan PEI, "Robust MIMO Radar Waveform Design to Improve the Worst-Case Detection Performance of STAP" in IEICE TRANSACTIONS on Communications,
vol. E101-B, no. 5, pp. 1175-1182, May 2018, doi: 10.1587/transcom.2017EBP3092.
Abstract: The issue of robust multi-input multi-output (MIMO) radar waveform design is investigated in the presence of imperfect clutter prior knowledge to improve the worst-case detection performance of space-time adaptive processing (STAP). Robust design is needed because waveform design is often sensitive to uncertainties in the initial parameter estimates. Following the min-max approach, a robust waveform covariance matrix (WCM) design is formulated in this work with the criterion of maximization of the worst-case output signal-interference-noise-ratio (SINR) under the constraint of the initial parameter estimation errors to ease this sensitivity systematically and thus improve the robustness of the detection performance to the uncertainties in the initial parameter estimates. To tackle the resultant complicated and nonlinear robust waveform optimization issue, a new diagonal loading (DL) based iterative approach is developed, in which the inner and outer optimization problems can be relaxed to convex problems by using DL method, and hence both of them can be solved very effectively. As compared to the non-robust method and uncorrelated waveforms, numerical simulations show that the proposed method can improve the robustness of the detection performance of STAP.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2017EBP3092/_p
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@ARTICLE{e101-b_5_1175,
author={Hongyan WANG, Quan CHENG, Bingnan PEI, },
journal={IEICE TRANSACTIONS on Communications},
title={Robust MIMO Radar Waveform Design to Improve the Worst-Case Detection Performance of STAP},
year={2018},
volume={E101-B},
number={5},
pages={1175-1182},
abstract={The issue of robust multi-input multi-output (MIMO) radar waveform design is investigated in the presence of imperfect clutter prior knowledge to improve the worst-case detection performance of space-time adaptive processing (STAP). Robust design is needed because waveform design is often sensitive to uncertainties in the initial parameter estimates. Following the min-max approach, a robust waveform covariance matrix (WCM) design is formulated in this work with the criterion of maximization of the worst-case output signal-interference-noise-ratio (SINR) under the constraint of the initial parameter estimation errors to ease this sensitivity systematically and thus improve the robustness of the detection performance to the uncertainties in the initial parameter estimates. To tackle the resultant complicated and nonlinear robust waveform optimization issue, a new diagonal loading (DL) based iterative approach is developed, in which the inner and outer optimization problems can be relaxed to convex problems by using DL method, and hence both of them can be solved very effectively. As compared to the non-robust method and uncorrelated waveforms, numerical simulations show that the proposed method can improve the robustness of the detection performance of STAP.},
keywords={},
doi={10.1587/transcom.2017EBP3092},
ISSN={1745-1345},
month={May},}
Copy
TY - JOUR
TI - Robust MIMO Radar Waveform Design to Improve the Worst-Case Detection Performance of STAP
T2 - IEICE TRANSACTIONS on Communications
SP - 1175
EP - 1182
AU - Hongyan WANG
AU - Quan CHENG
AU - Bingnan PEI
PY - 2018
DO - 10.1587/transcom.2017EBP3092
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E101-B
IS - 5
JA - IEICE TRANSACTIONS on Communications
Y1 - May 2018
AB - The issue of robust multi-input multi-output (MIMO) radar waveform design is investigated in the presence of imperfect clutter prior knowledge to improve the worst-case detection performance of space-time adaptive processing (STAP). Robust design is needed because waveform design is often sensitive to uncertainties in the initial parameter estimates. Following the min-max approach, a robust waveform covariance matrix (WCM) design is formulated in this work with the criterion of maximization of the worst-case output signal-interference-noise-ratio (SINR) under the constraint of the initial parameter estimation errors to ease this sensitivity systematically and thus improve the robustness of the detection performance to the uncertainties in the initial parameter estimates. To tackle the resultant complicated and nonlinear robust waveform optimization issue, a new diagonal loading (DL) based iterative approach is developed, in which the inner and outer optimization problems can be relaxed to convex problems by using DL method, and hence both of them can be solved very effectively. As compared to the non-robust method and uncorrelated waveforms, numerical simulations show that the proposed method can improve the robustness of the detection performance of STAP.
ER -
English
