Journal of Beijing University of Posts and Telecommunications

  • EI核心期刊

JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM ›› 2011, Vol. 34 ›› Issue (6): 125-128.doi: 10.13190/jbupt.201106.125.libb

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An Algorithm of IRST Single Observer Tracking Based on Multihypothesis Gauss-Hermite Filter

  

  • Received:2010-12-10 Revised:2011-04-22 Online:2011-12-28 Published:2011-10-18

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Abstract:

For the problem of nonlinear estimation with single IRST in target tracking, a new algorithm of Multihypothesis Cartesian Gauss-Hermite filter is presented. In order to decrease the influence of non-observability of distance, based on Gauss-Hermite filter, multihypothesis of distance is adopted to operate collateral filter. First, at the initial time, the measurement interval of IRST is divided into a number of subintervals, each of which represents a hypothesis responding to the true range of the object. For each hypothesis, Gauss-Hermite filter is implemented with the common measurement. The probability of each subinterval is calculated recursively according to Bayes’ criteria. Finally, the weighted estimation of state and covariance is calculated for sum respectively to get the final eastimation.. Simulation results show that the accuracy of filter in this paper is better than the original Gauss-Hermite filter and EKF ,for the reason that Gauss-Hermite filter avoids the calculation of Jacobian matrix and the multihypothesis of distance decreases uncertainty.

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