Novel Modified Energy Detection Spectrum Sensing Technique for FM Wireless Microphone Signals

摘要：

Spectrum Sensing is an important functionality of Cognitive Radio (CR). Accuracy and speed of estimation are the key indicators to select the appropriate spectrum sensing technique. In this paper, we focus on spectrum sensing of narrowband wireless microphone (WM) signals using the modified periodogram and Welch method for different window types. It is well-known that the power of the WM signal is highly concentrated in the frequency domain, particularly under silence. Due to this property, spectrum sensing can be performed by what we call modified energy detection (MED) which applies of two techniques. First, a proposed window is used to reduce the height of the side-lobes or spectral leakage, which is called modified periodogram method. This increases the difference between the signal PSD peak and the noise level resulting in better detection. Second, Welchs method is used, which takes the average of the modified periodograms using overlapped windows that decreases the noise variance compared to single periodogram estimation. The performance of the proposed spectrum sensing technique is demonstrated by computer simulations.

关键词： component Spectrum Sensing modified periodogram Welch method Modified Energy Detection (MED)

作者: Salwa ElRamly Fatma Newagy Hatem Yousry Ayman Elezabi

作者单位: Ain Shams University Cairo, Egypt Cairo University, Egypt American University in Cairo Cairo, Egypt

会议类型: 国际会议

会议名称: 2011 International Conference on Information and Computer Networks(ICICN 2011)(2011年信息与计算机网络国际会议)

会议地点: 贵阳

会议语种:英文

页码: 59-63

在线出版日期: 2011-01-26（万方平台首次上网日期，不代表论文的发表时间）