基于自适应小波消噪的数字调制识别优化算法

doi:10.3724/SP.J.1146.2010.00349

摘要
图/表
参考文献
相关文章 (1)

全文: PDF (243 KB)
输出: BibTeX | EndNote (RIS)

摘要为了改善数字调制识别在低信噪比下的识别性能，该文提出了基于瞬时信息的自适应小波阈值消噪的调制识别优化算法。该方法采用自适应小波阈值消噪算法对瞬时信息进行消噪以提高瞬时信息的信噪比，并在已有的两个特征参数σ_ap和σ_df的基础上，改进了特征参数R_a和R_δa，以降低判决门限设置的敏感度。仿真结果表明，即使在信噪比低达1 dB时，7种数字调制的成功识别率都达到96%以上。与已有算法相比，该优化算法具有实现简单、计算量小和极低信噪比下识别率高等优点。

	服务

	把本文推荐给朋友
	加入我的书架
	加入引用管理器
	E-mail Alert
	RSS
	作者相关文章
	谭晓衡
	鄢海燕
	苏萌

关键词 ：数字调制识别, 瞬时信息, 自适应小波阈值消噪

Abstract：An optimal algorithm based on adaptive wavelet de-noising is proposed to improve effectively the performance of digital modulation recognition under low Signal to Noise Ratio (SNR). An adaptive wavelet threshold de-noising filter is used to eliminate the noise in instantaneous information and improve the SNR. And two parameters R_a, R_δaare improved based on two existing parameters σ_ap, σ_dfto reduce the sensitivity to noise threshold. Simulation results show that recognition probability of 7 types of digital modulation signals is all above 96%, even SNR is down to 1 dB. Compared with existing algorithm, the proposed algorithm is easy to implement, which has lower computational costs, higher recognition probability.

Key words： Digital modulation recognition Instantaneous information Adaptive wavelet threshold de-noising

收稿日期: 2010-04-06

PACS:

TN911.3

基金资助:

中央高校基本科研业务费(CDJZR10 16 00 11)和重庆市自然科学基金(2010BB2049)资助课题

通讯作者: 鄢海燕 E-mail: 703yhy@163.com

引用本文:

谭晓衡, 鄢海燕, 苏萌. 基于自适应小波消噪的数字调制识别优化算法[J]. 电子与信息学报, 2011, 33(2): 466-469. Tan Xiao-Heng, Yan Hai-Yan, Su Meng. An Optimal Algorithm of Digital Modulation Recognition Based on Adaptive Wavelet De-noising. , 2011, 33(2): 466-469.

链接本文:

http://jeit.ie.ac.cn/CN/10.3724/SP.J.1146.2010.00349 或 http://jeit.ie.ac.cn/CN/Y2011/V33/I2/466