JZUS - Journal of Zhejiang University SCIENCE

Frontiers of Information Technology & Electronic Engineering

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Waveform design based on mutual information upper bound for joint detection and estimation

Author(s): Ruofeng YU¹, Caiguang ZHANG², Chenyang LUO¹, Mengdi BAI¹, Shangqu YAN¹, Wei YANG¹, Yaowen FU¹
Affiliation(s): ¹College of Electronic Science and Technology, National University of Defense Technology,Changsha 410073, China ²Shanghai Radio Equipment Research Institute, Shanghai 201100,China
Corresponding email(s): fuyaowen@nudt.edu.cn
Key Words: Radar waveform design; Mutual information upper bound; Target detection; Parameter estimation; Constant modulus constraint

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Ruofeng YU¹, Caiguang ZHANG², Chenyang LUO¹, Mengdi BAI¹,Shangqu YAN¹, Wei YANG¹, Yaowen FU¹. Waveform design based on mutual information upper bound for joint detection and estimation[J]. Frontiers of Information Technology & Electronic Engineering,in press.https://doi.org/10.1631/FITEE.2500276

@article{title="Waveform design based on mutual information upper bound for joint detection and estimation",
author="Ruofeng YU¹, Caiguang ZHANG², Chenyang LUO¹, Mengdi BAI¹,Shangqu YAN¹, Wei YANG¹, Yaowen FU¹",
journal="Frontiers of Information Technology & Electronic Engineering",
year="in press",
publisher="Zhejiang University Press & Springer",
doi="https://doi.org/10.1631/FITEE.2500276"
}

%0 Journal Article
%T Waveform design based on mutual information upper bound for joint detection and estimation
%A Ruofeng YU¹
%A Caiguang ZHANG²
%A Chenyang LUO¹
%A Mengdi BAI¹
%A Shangqu YAN¹
%A Wei YANG¹
%A Yaowen FU¹
%J Frontiers of Information Technology & Electronic Engineering
%P
%@ 2095-9184
%D in press
%I Zhejiang University Press & Springer
doi="https://doi.org/10.1631/FITEE.2500276"

TY - JOUR
T1 - Waveform design based on mutual information upper bound for joint detection and estimation
A1 - Ruofeng YU¹
A1 - Caiguang ZHANG²
A1 - Chenyang LUO¹
A1 - Mengdi BAI¹
A1 - Shangqu YAN¹
A1 - Wei YANG¹
A1 - Yaowen FU¹
J0 - Frontiers of Information Technology & Electronic Engineering
SP -
EP -
%@ 2095-9184
Y1 - in press
PB - Zhejiang University Press & Springer
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doi="https://doi.org/10.1631/FITEE.2500276"

Abstract
Chinese Summary
Academic Network
Reviewer Comment

Abstract: Information-theoretic principles provide a rigorous foundation for adaptive radar waveform design in contested and dynamically varying environments. This paper addresses the joint optimization of constant-modulus waveforms to enhance both target detection and parameter estimation concurrently. A unified design framework is developed by maximizing a mutual information upper bound (MIUB), which intrinsically reconciles the tradeoff between detection sensitivity and estimation accuracy without heuristic weighting. Realistic, potentially non-Gaussian statistics of target and clutter returns are modeled using Gaussian mixture distributions (GMDs), enabling tractable closed-form approximations of the MIUBs Kullback-Leibler(KL) divergence and mutual information components. To tackle the ensuing non-convex optimization, a tailored metaheuristic phase-coded dream optimization algorithm (PC-DOA) is proposed, incorporating hybrid initialization and adaptive exploration-exploitation mechanisms for efficient phase-space search. Numerical results substantiate the proposed approach's superiority in achieving favorable detection estimation trade-offs over existing benchmarks.

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