A New Radar-Embedded Communication Waveform Based on Singular Value Decomposition

Jianqiu Xu, Baoguo Li
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引用次数: 1

Abstract

As a new competitive technology, radar-embedded communication (REC) can achieve the covert communication while improving the spectrum utilization. The embedded communication waveform has always been the core of REC. Traditional waveform design methods use eigen-decomposition to construct REC waveforms after converting research targets. However, the constructed REC waveforms are not orthogonal, which would reduce the communication reliability. Besides, converting targets would affect the low probability of detection (LPD) performance of REC. To solve these problems, this paper proposes a new waveform design method based on singular value decomposition (SVD). We compare the proposed method with the traditional ones in terms of communication reliability, LPD performance and robustness. Analysis and simulation results show that the SVD waveform generated by the proposed method is better than the traditional REC waveforms. We also provide a method to measure the level of similarity between SVD waveform and radar waveform. Then we can adjust the similarity to control the trade-off between reliability and concealment.
一种基于奇异值分解的雷达嵌入式通信波形
雷达嵌入式通信作为一种新兴的竞争技术,在提高频谱利用率的同时可以实现隐蔽通信。嵌入式通信波形一直是REC的核心,传统的波形设计方法采用特征分解方法对研究对象进行转换后构建REC波形。然而,构建的REC波形不是正交的,这会降低通信的可靠性。针对目标变换会影响REC低概率检测性能的问题,本文提出了一种基于奇异值分解(SVD)的波形设计方法。在通信可靠性、LPD性能和鲁棒性方面与传统方法进行了比较。分析和仿真结果表明,该方法生成的奇异值分解波形优于传统的REC波形。我们还提供了一种测量奇异值分解波形与雷达波形相似程度的方法。然后我们可以调整相似度来控制可靠性和隐蔽性之间的权衡。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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