﻿ 基于周期图的频谱检测改进算法

基于周期图的频谱检测改进算法Improved Spectrum Detecting Algorithm Based on Periodogram

Abstract:  The traditional periodogram spectral estimation method is an approximately unbiased spectral estimation method, however, with the difficulties of estimated bias and estimated variance dilemmatic. To solve this problem, a kind of accurate non-parametric multitaper method was introduced in this paper which is actually regarded as the improved periodogram spectral estimation method based on filter banks. The multitaper method makes use of multiple orthogonal windows for spectral estimation. By this means, the spectrum is estimated with excellent energy concentration. It can solve the problem of spectral estimation variance. The theoretical derivations and simulations show that the multitaper spectral spectrum detecting algorithm is a low variance and high resolution spectrum detection method, especially for the weak signal detection under strong noise background. It has effective performance and outperforms other spectrum detecting methods in low SNR.

[1] B. F. Boroujeny. Filter bank spectrum sensing for cognitive radios. IEEE Transaction on Signal Processing, 2008, 56: 1801- 1811.

[2] D. J. Thomson. Spectrum estimation and harmonic analysis. Proceedings of the IEEE, 1982, 70(9): 1055-1096.

[3] S. Haykin. The multitaper method for accurate spectrum sensing in cognitive radio environments. Systems and Computers, 2007: 436-439.

[4] 隋丹, 葛临东. 突发信号盲存在性检测的两种算法[J]. 信号处理, 2008, 24(5): 883-886.

[5] 刘欢, 王纲金, 赵丽霞. 一种新的对数能量谱熵语音端点检测方法[J]. 湖南大学学报(自然科学版), 2010, 37(7): 72-77.

[6] J. Wang and Q. T. Zhang. A multitaper spectrum based detector for cognitive radio. Wireless Communications and Networking Conference, 2009.

[7] H. Gao, M. Q. Wu, C. X. Xu and Q. Q. Wu. An improved multi- taper method for spectrum sensing in cognitive radio networks. IEEE International Conference on Computer Science and Infor- mation Technology, 2010: 393-396.

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