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An algorithm to solve autocorrelation matrix singular value based on SNR estimation

  • Optoelectronics Letters
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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.

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Authors and Affiliations

  1. College of Information & Electronic Engineering, Hebei University of Engineering, Handan, 056038, China

    Ji-jun Zhao  (赵继军) & Shu-guang Zhang  (张曙光)

  2. The Insititute of Telecommunication Transmission, Ministry of Information Industry of China, Beijing, 100045, China

    Wen-yu Zhao  (赵文玉)

Authors
  1. Ji-jun Zhao  (赵继军)
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  2. Shu-guang Zhang  (张曙光)
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  3. Wen-yu Zhao  (赵文玉)
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Corresponding author

Correspondence to Shu-guang Zhang  (张曙光).

Additional information

This work has been supported by the National Natural Science Foundation of China (Grant No. 90604031)

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Zhao, Jj., Zhang, Sg. & Zhao, Wy. An algorithm to solve autocorrelation matrix singular value based on SNR estimation. Optoelectron. Lett. 5, 41–44 (2009). https://doi.org/10.1007/s11801-009-8126-7

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  • DOI: https://doi.org/10.1007/s11801-009-8126-7

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