宽带频谱传感的独特压缩采样技术

2019 IEEE National Aerospace and Electronics Conference (NAECON) Pub Date : 2019-07-01 DOI:10.1109/NAECON46414.2019.9057897

Andrew F. Schaefer, M. Fowler

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引用次数: 0

摘要

通过直接采样的5G网络动态频谱分配对认知无线电中使用的嵌入式处理提出了重大的处理挑战。本文提出了两种新的压缩采样技术，以降低数据吞吐量和硬件复杂性，最大限度地发挥直接采样在频谱传感应用中的潜力。

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Unique Compressive Sampling Techniques for Wideband Spectrum Sensing

Dynamic Spectrum Allocation of 5G networks via direct sampling poses significant processing challenges to embedded processing used in Cognitive Radios. This paper proposes two new compressive sampling techniques to reduce both data throughput and hardware complexity, maximizing the potential of direct sampling for spectrum sensing applications.

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来源期刊

2019 IEEE National Aerospace and Electronics Conference (NAECON)

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