一种针对目标跟踪的自适应波形选择方法

doi:10.3969/j.issn.1001-2400.2014.01.011

Abstract

Abstract:

Within an adaptive interacting multiple model (IMM) framework, an approach to selecting the transmitted waveform of radar is proposed. The adaptive IMM algorithm is attained when the constant-velocity (CV) model and the current statistical model are applied to the IMM filter. Firstly, the error ellipse orthogonal method is derived from information theory, and an equivalent form is given in terms of control theory. According to the equivalent form, the range and velocity tracking error can not be adjusted effectively using the error ellipse orthogonal method. To solve this problem, an adaptive transmitted waveform selection approach is proposed based on the minimum mean-squared error, combining with the adaptive IMM algorithm. Simulations show that the proposed algorithm is feasible and effective.

Key words: cognitive tracking, adaptive tracking, interacting multiple model, waveform selection, ambiguity function, fractional Fourier transform

CLC Number:

TN953

JIN Biao;JIU Bo;LIU Hongwei;SU Tao. Adaptive waveform selection approach for target tracking[J].J4, 2014, 41(1): 57-63.

References

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Adaptive waveform selection approach for target tracking

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