An efficient spectrum sensing algorithm based on overlap-FFT architecture

2017 IEEE 17th International Conference on Communication Technology (ICCT) Pub Date : 2017-10-01 DOI:10.1109/ICCT.2017.8359754

Zipeng Zhang, Yubai Li

引用次数: 0

Abstract

In this paper, the detection performance of the energy detection algorithm in frequency domain based on overlap-Fast Fourier Transform (overlap-FFT) architecture are analyzed through theoretical derivation and simulation. Firstly, the Monte Carlo method is used to verify the effectiveness of the theoretical analysis of the detection performance under the overlap-FFT scheme when the overlap ratio γ ∊ [0,0.5]. Then, a method of estimating the probability of detection when the overlap ratio γ > 0.5 is proposed according to the simulation of detection performance in the case of different overlap ratios. Finally, the simulation based on OFDM signals verifies that overlap-FFT technology can effectively improve the frequency domain energy detection performance, and its detection probability is higher than the FSM(frequency smoothed method) algorithm based on cyclic stationary feature detection.

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基于重叠- fft结构的高效频谱感知算法

本文通过理论推导和仿真分析了基于重叠-快速傅里叶变换(overlap-Fast Fourier Transform，简称overlap-FFT)结构的频域能量检测算法的检测性能。首先，利用蒙特卡罗方法验证了重叠- fft方案在重叠比γ≥0,0.5时检测性能的理论分析的有效性。然后，通过模拟不同重叠比下的检测性能，提出了一种估算重叠比γ > 0.5时检测概率的方法。最后，基于OFDM信号的仿真验证了重叠- fft技术能有效提高频域能量检测性能，其检测概率高于基于循环平稳特征检测的FSM(频率平滑法)算法。

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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2017 IEEE 17th International Conference on Communication Technology (ICCT)

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