An Improved Model-Based Wald Detector for Range-Spread Targets in Heterogeneous Clutter Environments

Wenjing He, Ju Wang*, Bingqi Shan, Qin Zhang

*此作品的通讯作者

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

Autoregressive (AR) modeling of heterogeneous clutter can improve the probability of detecting range-spread targets, but the detector performance diminishes with fewer pulses due to the loss of samples equivalent to the AR order. To mitigate this performance decline, this paper presents an improved model-based Wald detector for range-spread targets in heterogeneous clutter environments, under the assumption of a known clutter covariance matrix based on the Wald test. Furthermore, the covariance matrix is reconstructed using the lower triangular matrix and real symmetric matrix, both of which are composed of the estimated AR parameters. In addition, considering the varying sea clutter under different sea states and across different range cells, an adaptive detector system consisting of detectors in heterogeneous and homogeneous environments is designed. Based on simulated and real clutter data, we demonstrate that the improved detector outperforms the AR model-based detectors with fewer pulses, and that the adaptive detector system can effectively select the optimal detector for the current clutter environment, ensuring high detection performance.

源语言英语
主期刊名2024 3rd International Conference on Electronics and Information Technology, EIT 2024
出版商Institute of Electrical and Electronics Engineers Inc.
125-130
页数6
ISBN(电子版)9798350369151
DOI
出版状态已出版 - 2024
活动3rd International Conference on Electronics and Information Technology, EIT 2024 - Hybrid, Chengdu, 中国
期限: 20 9月 202422 9月 2024

出版系列

姓名2024 3rd International Conference on Electronics and Information Technology, EIT 2024

会议

会议3rd International Conference on Electronics and Information Technology, EIT 2024
国家/地区中国
Hybrid, Chengdu
时期20/09/2422/09/24

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