基于幅度编码调制的雷达通信综合信号设计与处理方法

IF 2.9 3区 工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC
Caoyi Jiao , Xiaobin Liu , Zhenyu Qiao , Zhaoyu Gu , Feng Zhao
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引用次数: 0

摘要

为了解决双功能雷达通信(DFRC)系统中高比特误码率(BER)和高分辨率距离轮廓(HRRP)中的假目标峰值的挑战,本研究提出了由幅度码调制的线性调频(LFM)波形的创新处理方法,也称为LFM- ask波形。研究了LFM-ASK波形的特性。对于通信功能,基于LFM信号的分段求和构造参考信号,并在每个码开始处对参考信号的匹配滤波器输出进行采样并应用基于阈值的判决来恢复幅度码。对于雷达功能,采用一对补码生成两个LFM-ASK信号。在回波的两个hrrp中,相同阶数的假目标峰相位相反,将两个hrrp相加可以有效地消除假目标。进行了全面的仿真和实验,验证了所提出的处理方法的有效性。结果表明,在信噪比为0 dB时,与包络解调和相干解调相比,该解调方法的误码率分别降低了36%和16%。此外,与压缩感知方法相比,该消除方法不仅抑制了信号诱导的假目标,而且将噪声诱导的假目标数量从3个以上减少到0个。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Radar communication integrated signal design and processing methods based on amplitude coded modulation
To address the challenges of high bit error rate (BER) and false target peaks in high-resolution range profile (HRRP) within dual-functional radar-communication (DFRC) systems, this study proposes innovative processing methods for linear frequency modulation (LFM) waveform modulated by amplitude codes, alternatively referred to as LFM-ASK waveform. The characteristics of the LFM-ASK waveform are investigated. For communication function, a reference signal is constructed based on the segment summation of the LFM signal, and the amplitude codes are recovered by sampling the reference signal's matched filter output at each code beginning and applying a threshold-based decision. For radar function, a pair of complement codes is employed to generate two LFM-ASK signals. The same order false target peaks in the two HRRPs of the echoes have opposite phases, and the false targets can be effectively eliminated by summing the two HRRPs. Comprehensive simulations and experiments have been conducted, demonstrating the effectiveness of the proposed processing methods. The results indicate that the proposed demodulation method decreases the BER by 36 % and 16 % compared to envelope demodulation and coherent demodulation at 0 dB signal-to-noise ratio (SNR). Additionally, the proposed elimination method not only suppresses signal-induced false targets but also reduces the number of noise-induced false targets from over 3 to 0 compared to the compressive sensing method.
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来源期刊
Digital Signal Processing
Digital Signal Processing 工程技术-工程:电子与电气
CiteScore
5.30
自引率
17.20%
发文量
435
审稿时长
66 days
期刊介绍: Digital Signal Processing: A Review Journal is one of the oldest and most established journals in the field of signal processing yet it aims to be the most innovative. The Journal invites top quality research articles at the frontiers of research in all aspects of signal processing. Our objective is to provide a platform for the publication of ground-breaking research in signal processing with both academic and industrial appeal. The journal has a special emphasis on statistical signal processing methodology such as Bayesian signal processing, and encourages articles on emerging applications of signal processing such as: • big data• machine learning• internet of things• information security• systems biology and computational biology,• financial time series analysis,• autonomous vehicles,• quantum computing,• neuromorphic engineering,• human-computer interaction and intelligent user interfaces,• environmental signal processing,• geophysical signal processing including seismic signal processing,• chemioinformatics and bioinformatics,• audio, visual and performance arts,• disaster management and prevention,• renewable energy,
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