In engineering application,there is only one adaptive weights estimated by most of traditional early warning radars for adaptive interference suppression in a pulse reputation interval(PRI).Therefore,if the training s...In engineering application,there is only one adaptive weights estimated by most of traditional early warning radars for adaptive interference suppression in a pulse reputation interval(PRI).Therefore,if the training samples used to calculate the weight vector does not contain the jamming,then the jamming cannot be removed by adaptive spatial filtering.If the weight vector is constantly updated in the range dimension,the training data may contain target echo signals,resulting in signal cancellation effect.To cope with the situation that the training samples are contaminated by target signal,an iterative training sample selection method based on non-homogeneous detector(NHD)is proposed in this paper for updating the weight vector in entire range dimension.The principle is presented,and the validity is proven by simulation results.展开更多
Radar target signals and chaff cloud jamming signals have different characters by the wavelet transform.The wavelet coefficients of radar target signals are highly correlated with its near-and-near-scale wavelet coeff...Radar target signals and chaff cloud jamming signals have different characters by the wavelet transform.The wavelet coefficients of radar target signals are highly correlated with its near-and-near-scale wavelet coefficients,however the correlativity between the wavelet coefficients of chaff cloud jamming signals and its nearand-near scale wavelet coefficients is less significant.Based on the binary-base discrete wavelet transform and the correlation algorithm,the method of target entropy to estimate standard variance of the jamming signals and each scale is proposed to ensure reasonable threshold,to suppress chaff cloud signals and finally to reconstruct mixed signals by the improved spatially selective noise filtration(ISSNF) method.The extensive simulation results show that the proposed method can availably suppress chaff cloud jamming and decontaminate target echo.展开更多
基金supported by the National Natural Science Foundation of China(62371049)。
文摘In engineering application,there is only one adaptive weights estimated by most of traditional early warning radars for adaptive interference suppression in a pulse reputation interval(PRI).Therefore,if the training samples used to calculate the weight vector does not contain the jamming,then the jamming cannot be removed by adaptive spatial filtering.If the weight vector is constantly updated in the range dimension,the training data may contain target echo signals,resulting in signal cancellation effect.To cope with the situation that the training samples are contaminated by target signal,an iterative training sample selection method based on non-homogeneous detector(NHD)is proposed in this paper for updating the weight vector in entire range dimension.The principle is presented,and the validity is proven by simulation results.
基金the Defense Pre-research Subject of China (No.51473030101JW0301)
文摘Radar target signals and chaff cloud jamming signals have different characters by the wavelet transform.The wavelet coefficients of radar target signals are highly correlated with its near-and-near-scale wavelet coefficients,however the correlativity between the wavelet coefficients of chaff cloud jamming signals and its nearand-near scale wavelet coefficients is less significant.Based on the binary-base discrete wavelet transform and the correlation algorithm,the method of target entropy to estimate standard variance of the jamming signals and each scale is proposed to ensure reasonable threshold,to suppress chaff cloud signals and finally to reconstruct mixed signals by the improved spatially selective noise filtration(ISSNF) method.The extensive simulation results show that the proposed method can availably suppress chaff cloud jamming and decontaminate target echo.
