Li LI, Tian-shuang QIU, Ming-yan HE. Novel method based on fractional lower-order correntropy-analogous statistics for parameter jointly estimation in bistatic MIMO radar[J]. Journal on Communications, 2016, 37(12): 42-49.
DOI:
Li LI, Tian-shuang QIU, Ming-yan HE. Novel method based on fractional lower-order correntropy-analogous statistics for parameter jointly estimation in bistatic MIMO radar[J]. Journal on Communications, 2016, 37(12): 42-49. DOI: 10.11959/j.issn.1000-436x.2016236.
Novel method based on fractional lower-order correntropy-analogous statistics for parameter jointly estimation in bistatic MIMO radar
According to the performance degradation problem of parameter estimation algorithm in the Alpha stable dis-tribution noise
inspired by the concept of correntropy
a new class of statistics
namely
the fractional lower-order cor-rentropy-analogous statistics (FCAS) was proposed. By employing the fractional lower-order correntropy-analogous sta-tistics based cost function in parallel factor (PARAFAC)
the FCAS-PARAFAC algorithm was deduced which can be utilized for the parallel factor under impulsive noise environments. The FCAS-PARAFAC algorithm was applied to pa-rameter estimation in bistatic MIMO radar under impulsive noise environment. The proposed method can suppress the impulse noise interference and has better estimation performance. Furthermore
the estimated parameters are automati-cally paired without the additional pairing method. Simulation results are presented to verify the effectiveness of the pro-posed method.
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references
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