中国邮电高校学报(英文) ›› 2012, Vol. 19 ›› Issue (3): 74-79.doi: 10.1016/S1005-8885(11)60268-9

• Networks • 上一篇    下一篇

Pulse signal detection in cognitive UWB system

宋晓鸥,向新,毕笃彦,DENG Yong   

  1. Engineering College, Air Force Engineering. University
  • 收稿日期:2011-10-24 修回日期:2012-03-20 出版日期:2012-06-30 发布日期:2012-06-08
  • 通讯作者: 宋晓鸥 E-mail:627207441@qq.com
  • 基金资助:

    航空科学基金

Pulse signal detection in cognitive UWB system

  1. Engineering College, Air Force Engineering. University
  • Received:2011-10-24 Revised:2012-03-20 Online:2012-06-30 Published:2012-06-08
  • Contact: Xiao-Ou SONG E-mail:627207441@qq.com
  • Supported by:

    This work is supported by The Aviation Science Fund

摘要:

According to the problem of cognitive UWB spectrum sensing, a novel UWB pulse signal detection algorithm based on Cumulative Sum (CUSUM) test is proposed in this paper. Based on the analysis of the existing spectrum sensing schemes for Cognitive UWB system, some obvious facts are obtained that it is difficult to detect Ultra Wide-band (UWB) pulse signal with conventional spectrum sensing schemes, due to its low average SNR, large bandwidth, and low duty ratio. In this paper the detection algorithm of signal distribution change, which is application of CUSUM test, is considered to be applied to cognitive UWB spectrum sensing. But CUSUM test request that the pre-change and the post-change distributions are i.i.d, which cannot be satisfied in the detection process of UWB pulse signal. Since there are two time domain descriptions on UWB pulse signal, namely one contains only noise and the other one contains pulse signal plus noise, the existing detection algorithm of signal distribution change cannot be directly applied to detect UWB pulse signal. Hence the uniform probability density function expression of UWB pulse signal is first deduced, then CUSUM test is applied to Cognitive UWB spectrum sensing. The proposed algorithm is a time sequential detection algorithm, with low complexity and minimal detection delay, which is suitable to detect the low duty ratio signal. Its performance is evaluated through theoretical analysis and numerical simulations. It is shown that this algorithm outperforms the conventional energy detection algorithm and conquers SNR wall phenomenon.

关键词:

cognitive UWB (CUWB), spectrum sensing, pulse signal, CUSUM

Abstract:

According to the problem of cognitive UWB spectrum sensing, a novel UWB pulse signal detection algorithm based on Cumulative Sum (CUSUM) test is proposed in this paper. Based on the analysis of the existing spectrum sensing schemes for Cognitive UWB system, some obvious facts are obtained that it is difficult to detect Ultra Wide-band (UWB) pulse signal with conventional spectrum sensing schemes, due to its low average SNR, large bandwidth, and low duty ratio. In this paper the detection algorithm of signal distribution change, which is application of CUSUM test, is considered to be applied to cognitive UWB spectrum sensing. But CUSUM test request that the pre-change and the post-change distributions are i.i.d, which cannot be satisfied in the detection process of UWB pulse signal. Since there are two time domain descriptions on UWB pulse signal, namely one contains only noise and the other one contains pulse signal plus noise, the existing detection algorithm of signal distribution change cannot be directly applied to detect UWB pulse signal. Hence the uniform probability density function expression of UWB pulse signal is first deduced, then CUSUM test is applied to Cognitive UWB spectrum sensing. The proposed algorithm is a time sequential detection algorithm, with low complexity and minimal detection delay, which is suitable to detect the low duty ratio signal. Its performance is evaluated through theoretical analysis and numerical simulations. It is shown that this algorithm outperforms the conventional energy detection algorithm and conquers SNR wall phenomenon.

Key words:

cognitive UWB (CUWB), spectrum sensing, pulse signal, CUSUM