Multiple receiver specific emitter identification

IF 1.4 4区 管理学 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Iet Radar Sonar and Navigation Pub Date : 2024-07-02 DOI:10.1049/rsn2.12606
Liting Sun, Zheng Liu, Zhitao Huang
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Abstract

Specific emitter identification (SEI) is a technique for identifying emitters based on the principle that the hardware chain is not ideal, causing the emitted signal to contain emitter-specific information. However, the receiver is also non-ideal, which affects recognition accuracy and introduces receiver-specific information that makes SEI difficult to generalise across receiving systems. In this work, a new multi-receiver receiving and processing system (MR-SEI) scheme is proposed to mitigate the influence of receivers based on the analysis of receiver distortion models. After receiving and processing in a specific manner, recognition performance can be enhanced. Therefore, extracted features can be shared among different receivers and platforms, and can even be applied to newly added receivers. The concept of common waveform (CW) is first defined, referring to the received signal without receiver distortions. Different receiving devices are working synchronously, and the CW is estimated using multiple copies of the signal obtained from multiple receivers through the iterative reweighted least squares (IRLS) method. For each receiver, a maximum linear correlation algorithm is proposed to calculate the received signal without being affected by distortions. Experimental results show that the proposed scheme can enhance identification performance. With the increase in the number of receivers, the improvement is more noticeable. Using 10 distorted receivers operating under an SNR of 25 dB, the proposed algorithm can significantly improve the identification performance, achieving over 95% and approaching the ideal scenario of no receiver distortion. Meanwhile, influences caused by receiver distortions can be effectively eliminated, and the database can be shared with new receivers, overperforming other SEI methods that eliminate the receiver.

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多接收器特定发射器识别
特定发射器识别(SEI)是一种识别发射器的技术,其原理是硬件链不理想,导致发射信号包含发射器特定信息。然而,接收器也不是理想的,这会影响识别精度,并引入接收器特定信息,使 SEI 难以在不同接收系统中推广。在这项工作中,基于对接收器失真模型的分析,提出了一种新的多接收器接收和处理系统(MR-SEI)方案,以减轻接收器的影响。在以特定方式进行接收和处理后,识别性能可以得到提高。因此,提取的特征可以在不同的接收机和平台之间共享,甚至可以应用于新增加的接收机。首先定义了公共波形(CW)的概念,指的是没有接收器失真的接收信号。不同的接收设备同步工作,通过迭代加权最小二乘法(IRLS),使用从多个接收器获得的多份信号来估算 CW。针对每个接收器,提出了一种最大线性相关算法,以计算接收信号而不受失真影响。实验结果表明,所提出的方案可以提高识别性能。随着接收机数量的增加,改进效果更加明显。在信噪比为 25 dB 的条件下,使用 10 个失真接收器,建议的算法可以显著提高识别性能,达到 95% 以上,接近无接收器失真的理想情况。同时,接收机失真造成的影响可以有效消除,数据库可以与新的接收机共享,性能优于其他消除接收机的 SEI 方法。
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来源期刊
Iet Radar Sonar and Navigation
Iet Radar Sonar and Navigation 工程技术-电信学
CiteScore
4.10
自引率
11.80%
发文量
137
审稿时长
3.4 months
期刊介绍: IET Radar, Sonar & Navigation covers the theory and practice of systems and signals for radar, sonar, radiolocation, navigation, and surveillance purposes, in aerospace and terrestrial applications. Examples include advances in waveform design, clutter and detection, electronic warfare, adaptive array and superresolution methods, tracking algorithms, synthetic aperture, and target recognition techniques.
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