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A Genetic Algorithm-Based OFDM Waveform Design for Low-Angle Target Tracking
编号：133 访问权限：仅限参会人 更新：2025-12-23 13:12:32 浏览：99次 拓展类型2

报告开始：2025年12月29日 15:00（Asia/Amman）

报告时间：15min

所在会场：[S4] Track 4: Dedicated Technologies for Wireless Networks Track 6: Signal Processing for Wireless Communications Track 8: Communication and Networking Technologies for Smart Agriculture [S4] Track 4: Dedicated Technologies for Wireless NetworksTrack 6: Signal Processing for Wireless CommunicationsTrack 8: Communication and Networking Technologies for Smart Agriculture

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摘要
Accurate detection and tracking of low-altitude targets, such as drones, is a cornerstone of security in smart cities but is profoundly challenged by multipath propagation and atmospheric distortions in low-angle scenarios. This paper introduces a novel radar waveform design to overcome these limitations. Our method focuses on optimizing an Orthogonal Frequency Division Multiplexing (OFDM) waveform by shaping its Wideband Ambiguity Function (WAF) to approach an ideal, high-resolution profile. The optimization is driven by a Genetic Algorithm (GA) that efficiently navigates the complex parameter space to minimize a defined cost function. Simulation results demonstrate that our designed waveform achieves a significant performance leap over existing techniques. Key improvements include a 22 dB suppression of the first ambiguity sidelobe and a dramatic reduction in tracking error. Quantitative analysis shows our method achieves a 41.66% greater improvement in RMSE versus SNR and a 66.66% greater improvement in RMSE versus Range compared to a leading benchmark. This work establishes that GA-optimized OFDM waveforms are a powerful tool for enhancing radar resolution and tracking precision, directly addressing critical safety needs in modern urban surveillance systems.
关键词
low-angle scenarios, OFDM signal, wideband ambiguity function, Genetic Algorithm, multipath effects.
报告人
Zohreh Asadsangabi
Researcher Shiraz University of Technology

稿件作者
Zohreh Asadsangabi Shiraz University of Technology
Reza Mohseni Shiraz University of Technology
Hattar Hattar Zarqa University
Mohamed Hafez INTI-IU-University;Shinawatra University
Mohamadreza Khosravi Shiraz University of Medical Sciences
Mahdi Jafari Shiraz University
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重要日期

  • 会议日期

    12月29日

    2025

    至

    12月31日

    2025

  • 12月30日 2025

    报告提交截止日期

  • 02月10日 2026

    初稿截稿日期

  • 02月10日 2026

    注册截止日期

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