Nonlinear self-interference cancellation technique based on spline interpolation
In view of the nonlinear self-interference coupling problem between the transmitting and receiving antennas of radar jammer,a nonlinear self-interference cancellation method based on spline interpolation is studied.The method combines spline interpolation and adaptive filtering,and establishes the spline-based Hammerstein model and the spline-based Wiener model respectively.By introducing the robust arctangent(ARC)function as the cost function,the adaptive learning rules of the spline control points and filter coefficients under the two models are obtained,and the influence of the number of spline control points on the performance of the self-interference cancellation is analyzed.Simulation experiments show that for signals with a bandwidth of 60 MHz,the proposed ARC-based parameter learning method achieves about 4 dB improvement in the interference cancellation ratio compared with the traditional least mean square parameter learning methods,and the convergence speed can be improved by a factor of one.In addition,the method has good tracking performance and low steady-state error for the scenario of sudden channel change.When non-Gaussian pulse interference exists in the background noise,the proposed method can effectively cope with the interference in the impulse noise environment.
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