Underlay认知下时频重叠信号的分量个数估计

doi:10.3969/j.issn.1001-2400.2017.06.008

Abstract

Abstract:

This paper proposes a novel method to estimate the number of signal components of time-frequency overlapped signals in low signal to noise ratio environment of the underlay spectrum sharing mode. First, the virtual array signal is constructed by dynamic delay, and then the feature quantity and estimation criterion are constructed by using the characteristic that the noise singular value is not changed very much, and the number of signal components of time-frequency overlapped signals in the underlay spectrum sharing mode is estimated. Simulation results show that the performance of the proposed method is better than that of the existing methods under the conditions of low SNR and high spectrum overlapped rates.

Key words: cognitive radio, parameter estimation, time-frequency overlapped, spectrum sharing, number estimation

LIU Mingqian;CHEN Qian;WU Yun;WANG Jianghong. Component number estimation of time-frequency overlapped signals in underlay cognitive radio[J].Journal of Xidian University, 2017, 44(6): 43-47+64.

References

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Component number estimation of time-frequency overlapped signals in underlay cognitive radio

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