Compressed sensing for frequency hopping communication signals via analog to information converter

2016 IEEE International Conference on Network Infrastructure and Digital Content (IC-NIDC) Pub Date : 2016-09-01 DOI:10.1109/ICNIDC.2016.7974591

Lei Chen, Hui Peng, Mengyue Liu, Yu Liu

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引用次数: 2

Abstract

Frequency Hopping Communication Signal (FHCS) is widely used in military filed especially in military communication for its good anti-jamming performance and multiple access capability. Due to the rapid development of communication technology, the band width of FHCS become wider and wider, frequency become larger and larger. There will be a huge pressure on Analog to Digital Converter (ADC) as well as DSP device. Theory of compressed sensing (CS) enables a successful reconstruction of sparse signal by sampling at a sub-Nyquist sample rate. Analog to Information Converter is a better implementation of CS, which includes Random Demodulator scheme (RD) and Modulated Wideband Converter (MWC). In this paper, we apply these two schemes into FHCS's compressed sampling and reconstruction. Simulations are performed to verify that RD scheme can reconstruct signal successfully with high possibility with relatively low time complexity at low sample rate. Besides, MWC guarantees the accuracy and efficiency of signal collection.

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基于模拟信息转换器的跳频通信信号压缩感知

跳频通信信号以其良好的抗干扰性能和多址能力在军事通信领域得到了广泛的应用。由于通信技术的飞速发展，光纤通信系统的带宽越来越宽，频率越来越大。这将给模数转换器(ADC)和DSP器件带来巨大的压力。压缩感知理论(CS)能够通过以亚奈奎斯特采样率采样来成功地重建稀疏信号。模拟信息转换器是一种较好的CS实现方案，它包括随机解调器(RD)和调制宽带转换器(MWC)。本文将这两种方案应用到FHCS的压缩采样和重构中。仿真结果表明，该方法能够在低采样率下以较低的时间复杂度，以较高的概率成功重构信号。此外，MWC保证了信号采集的准确性和效率。

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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2016 IEEE International Conference on Network Infrastructure and Digital Content (IC-NIDC)

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