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引用本文:王胜华, 邓宇坤, 赵晨博, 贺鹏超, 曹运合. 低信噪比下信号联合参数测量与识别方法[J]. 雷达科学与技术, 2024, 22(5): 507-514.[点击复制]
WANG Shenghua, DENG Yukun, ZHAO Chenbo, HE Pengchao, CAO Yunhe. Signal Joint Parameter Measurement and Identification Method Under Low Signal⁃to⁃Noise Ratio[J]. Radar Science and Technology, 2024, 22(5): 507-514.[点击复制]
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低信噪比下信号联合参数测量与识别方法
王胜华, 邓宇坤, 赵晨博, 贺鹏超, 曹运合
1. 西安邮电大学通信与信息工程学院(人工智能学院), 陕西西安 710061;2. 西安微电子技术研究所, 陕西西安 710065;3. 西安电子科技大学, 陕西西安 710071
摘要:
针对传统的辐射源信号参数测量方法精度不高、工程实现困难且需要单独的信号调制识别步骤,本文基于信号的瞬时相位差特征提出了一种适用于低信噪比下的信号联合参数测量与识别方法,并进行了工程实现。该方法运用非相参累积检测算法提高低信噪比时域参数测量精度,获取信号瞬时相位差特征,联合测量并识别载频信息和调制方式,算法计算复杂度低、便于工程实现。经仿真和实测结果验证,对二相编码信号、线性调频信号和单载频信号有较高的测量精度和识别概率。
关键词:  参数测量  脉内调制识别  低信噪比  FPGA实现
DOI:DOI:10.3969/j.issn.1672-2337.2024.05.005
分类号:TN971+.1
基金项目:陕西省自然科学基金面上项目(No.2024JC?YBMS?555);航天771所创新基金(No.771CX2023003)
Signal Joint Parameter Measurement and Identification Method Under Low Signal⁃to⁃Noise Ratio
WANG Shenghua, DENG Yukun, ZHAO Chenbo, HE Pengchao, CAO Yunhe
1. School of Communications and Information Engineering & School of Artificial Intelligence, Xi’an University of Posts and Telecommunications, Xi’an 710061, China;2. Xi'an Microelectronics Technology Institute, Xi’an 710065, China;3. Xidian University, Xi’an 710071, China
Abstract:
The traditional methods for parameter measurement of radiation source signals have problems such as low accuracy, engineering implementation challenges, and the need for separate signal modulation and recognition steps. In this paper, a method for joint measurement and identification of signals under low signal?to?noise ratio (SNR) conditions is proposed based on the instantaneous phase difference feature of signals. The proposed method employs a non?coherent accumulation detection algorithm to improve the accuracy of time?domain parameter measurement under low SNR, obtaining the instantaneous phase difference feature of the signal. It jointly measures and identifies the carrier frequency information and modulation methods. The algorithm has low computational complexity, making it convenient for engineering implementation. Simulation and experimental results validate its high measurement accuracy and identification probability for binary phase shift keying signals, linear frequency modulated signals, and single carrier frequency signals.
Key words:  parameter measurement  intra⁃pulse modulation recognition  low signal⁃to⁃noise ratio  FPGA implementation

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