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| A Joint Estimation Algorithm of TDOA and FDOA Based on Wavelet Threshold De-noising and Conjugate Fuzzy Function |
| DOU Huijing WANG Qianlong ZHANG Xue |
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Abstract To solve the problem that the second-order fuzzy function can not deal with related noise, as well as the problem of large computation based on fourth-order cumulants joint estimation algorithm, this paper proposes a new joint estimation algorithm of TDOA and FDOA by using wavelet thresholding denoising method combined with characteristics of non-circular signals. The method operates firstly wavelet thresholding denoising for the received signal, then constructs conjugate fuzzy function, and finally two-dimensional search is made to obtain the time difference and frequency difference parameters. The simulation experimental results under different signal-to- noise ratio show that the proposed algorithm can not only suppress correlated noise, but also has relatively lower computational complexity and also can make accurate estimation under low signal-to-noise ratio.
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Received: 23 July 2015
Published: 14 January 2016
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| Fund: The National Natural Science Foundation of China (61171137), Beijing Municipal Education Commission Research and Development Programs (KM201210005001) |
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Corresponding Authors:
DOU Huijing
E-mail: dhuijing@bjut.edu.cn
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