| An algorithm to solve autocorrelation matrix singular value based on SNR estimation |
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| 作者姓名： | 赵继军 张曙光 赵文玉 |
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| 基金项目： | supported by the National Natural Science Foundation of China (Grant No.90604031) |
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| 摘 要： | SNR estimation of communication signals is important to improve demodulation performance and channel quality of communication system,thus it is an important research issue of communication field.According to the core problem of autocorrelation matrix singular value in SNR estimation process,through making use of householder transforming autocorrelation matrix into tridiagonal matrix,and by using the relation of corresponding characteristic equation coefficients and singular value,a numerical algorithm is gi...
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An algorithm to solve autocorrelation matrix singular value based on SNR estimation |
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| Ji-jun Zhao,Shu-guang Zhang and Wen-yu Zhao.An algorithm to solve autocorrelation matrix singular value based on SNR estimation[J].Opto-electronics Letters,2009,5(1):41-44. |
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| Authors: | Ji-jun Zhao Shu-guang Zhang and Wen-yu Zhao |
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| Affiliation: | (1) College of Information & Electronic Engineering, Hebei University of Engineering, Handan, 056038, China;(2) The Insititute of Telecommunication Transmission, Ministry of Information Industry of China, Beijing, 100045, China |
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| Abstract: | SNR estimation of communication signals is important to improve demodulation performance and channel quality of communication
system, thus it is an important research issue of communication field. According to the core problem of autocorrelation matrix
singular value in SNR estimation process, through making use of householder transforming autocorrelation matrix into tridiagonal
matrix, and by using the relation of corresponding characteristic equation coefficients and singular value, a numerical algorithm
is given to obtain autocorrelation matrix singular value, and the algorithm is used for SNR solving process. Theoretical analysis
shows that the algorithm can satisfy the requirements in the aspect of constringency speed and stability.
This work has been supported by the National Natural Science Foundation of China (Grant No. 90604031) |
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