Xiaobo Jin
ABSTRACT
Power spectrum estimation is one of the important research contents of digital signal processing. Power spectrum estimation is divided into classic power spectrum estimation and modern power spectrum estimation. Modern power spectrum estimation is proposed for the shortcomings of classical power spectrum estimation. The principles of the periodogram method, the improved welch method and the AR model method in the classic power spectrum estimation, Matlab simulations were carried out, and their characteristics were analyzed and compared. It was found that the Burg method of the AR parameter model is better. The classic power spectrum estimation has large variance and low spectral resolution, but modern power spectrum estimation is not affected by the window function, so it has higher spectral resolution and smooth spectral curve.
- Hu Guangshu, digital signal processing theory, algorithm and implementation. Tsinghua University Press. Year 2003.Google Scholar
- Holzman E L.A Wide Band TEM Horn Array Radiator with a Novel Microstrip Feed [A]. IEEE International Conference on Phased Array Systems and Technology [C].2000: 441--444.Google ScholarCross Ref
- Jun Yao, Guihua Zeng. Key agreement and identity authentication protocols for ad hoc networks, ITCC 2004. International Conference on Information Technology: Coding and Computing, 2004, Vol.2Google Scholar
- Kanda M. The Effects of Resistive Loading of TEM Horns [J]. IEEE Trans. on Electromagnetic Compatibility, 1982 (2): 245--255.Google ScholarCross Ref
- Lu Huaguang, Peng Xueyu. Random signal processing [M]. Xi'an: Xi'an University of Electronic Science and Technology Press, 2003.Google Scholar
- Robert J. Scilling, Sandra L. Harris. Fundamentals of digital pressing using MATLAB. Xi'an: Xi'an Jiao tong university, 2005.Google Scholar
- Wei Xin, Zhang Ping. Analysis of window function in periodogram methodpower spectrum estimation [J]. Modern Electronic Technology, 2005, 28 (3): 20--21.Google Scholar
- Xu Kejun. Signal analysis and processing. Tsinghua University Press. year 2006.Google Scholar
- Yi Mu, Willy Susilo, Yan-Xia Lin, et al. Identity-Based Authenticated Broadcast Encryption and Distributed Authenticated Encryption, Lecture Notes in Computer Science, 2004, Volume 3321Google Scholar
- Zhang Licai, Wang Min. digital signal processing [M]. Beijing: People's Posts and Telecommunications Press. 2008Google Scholar
Index Terms
- Power Spectrum Estimation Method Based on Matlab
Recommendations
Wideband Power Spectrum Sensing for Cognitive Radios Based on Sub-Nyquist Sampling
In a cognitive radio system, efficient wideband spectrum estimation is a basic component of dynamic spectrum access. The systems high sampling rate is the main challenge in the frontend. In this paper, wideband power spectrum sensing is studied based on ...
Spectrum sensing exploiting the maximum value of power spectrum density in wireless sensor network
Spectrum sensing plays a foundational role in cognitive radio sensor networks. However, only the methods with low computational complexity can be utilized due to energy restriction of sensor node. To this end, a novel frequency-domain spectrum sensing ...
A Modification to the Current Algorithm of the Correlation Method for Cross Power Spectrum Estimation
ICECE '10: Proceedings of the 2010 International Conference on Electrical and Control EngineeringThe correlation method for cross power spectrum estimation based on FFT is studied in this paper. A modification is made to the current algorithm of the correlation method. Numerical examples show the correctness of the modification.
Comments