Zhuan Xiao

Zhejiang University, Hangzhou, Zhejiang Sheng, China

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Publications (3)1.16 Total impact

  • Wen Xu, Zhuan Xiao, Lu Yu
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    ABSTRACT: Matched-field processing (MFP) concerns estimation of source locations by exploiting full wave modeling of acoustic waveguide propagation. Typical MFP performance demonstrates a threshold behavior, that is, below some signal-to-noise ratio (SNR), the mean-square error (MSE) increases dramatically. This threshold phenomenon has been intensively investigated previously under spatially white noise field. In this paper, we develop approaches to study MFP performance in the presence of spatially correlated noises. Both the discrete interference and surface-generated noise are considered, and a so-called method of intervals errors (MIE) is derived in the context of the maximum likelihood estimate (MLE). Performance analysis of both narrowband and broadband MFP is implemented for source localization in a realistic shallow water environment. Simulation results suggest that 1) adding either spatially correlated noise increases the MLE threshold SNR compared to the case with white noise only, but effects at high SNR are different, MSE decreasing at the same rate with a point interference while decaying in a slower pace with surface-generated noises; 2) with a strong discrete interference, interference position, rather than strength, matters more in determining the MLE performance, and broadband processing effectively reduces the threshold SNR; 3) effect of the surface-generated noises is highly frequency dependent, and processing using a higher frequency would be preferred; 4) overall the surface-generated noise is more difficult to attack by an adaptive method such as the MLE.
    IEEE Journal of Oceanic Engineering 05/2011; · 1.16 Impact Factor
  • Zhiguo Yang, Wen Xu, Zhuan Xiao, Xiang Pan
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    ABSTRACT: As Autonomous Underwater Vehicles (AUVs) play an increasingly important role in ocean community, localization of AUVs is attracting more and more attention in various applications. This paper presents a simple iterative solution to passive localization of an AUV which has a periodic sonar transmission. The method exploits the time difference of sonar transmissions and receiving interval measurements using a single linear array. Simulations show that the method yields an effective source location estimator without using a complex receiving array configuration; in the meantime, it can be readily implemented in a real-time system with moderate computational complexity.
  • Zhuan Xiao, Wen Xu, Xianyi Gong
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    ABSTRACT: Matched field processing (MFP) is an important technique for source localization in shallow water waveguides. To obtain high resolution, some adaptive methods are frequently used, for example, the minimum variance distortionless response (MVDR) MFP. It is well-known that MVDR is quite sensitive to model mismatch, which can hardly be avoided in practical applications. In this paper a robust MVDR method, previously developed for beamforming applications, is generalized to MFP. It is implemented using convex optimization and second order cone (SOC) programming. Simulations show that in the presence of environment mismatch, the developed algorithm performs at least equally well compared to the diagonal loading technique. Besides, the diagonal loading technique performs very poor if with improper loading factor. On the contrary, by choosing the uncertainty factor accordingly, different robustness levels can always be achieved using the developed approach.
    OCEANS 2009 - EUROPE; 06/2009